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Company Name- WINIT

Location- Hyderabad

Position- Data Scientist

Experience- 0-1 year

We are seeking a talented Data Scientist proficient in data science, machine learning, deep learning, computer vision, simulation, feature engineering, Python, and SQL. 

Responsibilities:

• Develop and implement machine learning and deep learning algorithms for image recognition tasks.
• Utilize computer vision techniques to extract meaningful information from images.
• Collaborate with software engineers to integrate image recognition models into existing systems.
• Design and implement simulation models for route optimization, demand forecasting, and trade promo optimization scenarios.
• Perform feature engineering to extract relevant features for optimization algorithms.
• Work with large datasets, cleaning, preprocessing, and transforming data as necessary.
• Develop and optimize SQL queries to extract and analyze data from databases.
• Participate in the end-to-end development lifecycle, from problem definition to deployment.
• Stay updated with the latest advancements in machine learning, computer vision, route optimization, demand forecasting, and trade promo optimization techniques.

Requirements:

• Bachelor's or Master's degree in computer science, Data Science, or related field.
• Proven experience in data science, machine learning, and deep learning projects, preferably with a focus on computer vision.
• Strong proficiency in Python programming and experience with relevant libraries such as TensorFlow, PyTorch, OpenCV, etc.
• Solid understanding of SQL for data manipulation and extraction.
• Experience with simulation techniques, route optimization algorithms, demand forecasting, and trade promo optimization is a plus.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

*Stay updated on machine learning/deep learning/reinforcement learning/Generative AI/Time series forecasting/Operations Research

About our company:

Please visit our company website at: www.winitsoftware.com

About the Role

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end — from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale.

You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development — and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, GCP), on-premises systems, and third-party services — designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions — automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders

What You Must Have

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience — you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else's design
• Genuine full-stack depth across all layers:
• Front-end: Angular, TypeScript
• Backend: Java, Python, Go, or Node.js — at least one deeply, others functionally
• Data: SQL, NoSQL, caching (Redis), event streaming platforms
• Strong database knowledge in both theory and practice — relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or GCP — Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work — this will be probed in depth during interviews

Integration & API Technologies

You should have hands-on experience across several of the following:

REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• GCP-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration — not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana

Do Not Apply If

• You are primarily an Angular Architect, a Java architect, or strong in one layer only — this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role

This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high — because the impact is real.

Role Description

We're looking for a Principal Engineer to own the architecture and technical direction of our core platform. You'll operate at the intersection of high-scale distributed systems and fintech-grade security and compliance, turning fast-growing but increasingly complex product surfaces into resilient, extensible platforms. This is a hands-on technical leadership role: you will design and review critical systems, set engineering standards across teams, and mentor senior engineers, while staying close enough to the code to unblock the hardest problems yourself.

Key Responsibilities

• Own end-to-end architecture for high-concurrency, high-availability platform services, from design through production operability.
• Define and drive adoption of architectural patterns (event-driven microservices, multi-tenant SaaS, distributed locking/coordination) across multiple engineering teams.
• Partner with Product, Risk/Compliance, and cross-functional engineering teams (Payments, Onboarding, DevOps) to translate business goals into platform capabilities.
• Establish and champion engineering best practices: blameless post-mortems, proactive health monitoring, and structural fixes over firefighting.
• Directly mentor senior and staff-level engineers; act as a force multiplier for technical decision-making across the org.
• Drive down operational toil through automation, self-service tooling, and platform abstractions that let other teams move faster independently.
• Represent engineering in architecture reviews, technical due-diligence, and cross-org planning.

Qualifications

• 7+ years of professional software engineering experience, with a track record of owning systems at scale in production.
• Proven experience architecting and scaling backend platforms handling significant user growth (e.g., 10x-20x) or transaction volume, ideally in fintech, payments, or another regulated domain.
• Deep expertise in distributed systems design: microservices, async workflow orchestration (e.g., Temporal or equivalent), event-driven architecture, and data consistency trade-offs.
• Strong hands-on experience with at least one of Java or Python, and the ability to review and guide code across languages/stacks.
• Experience with cloud infrastructure and platform tooling (AWS, Kubernetes, Terraform, CI/CD pipelines) and observability stacks (Prometheus, Grafana, Datadog, or similar).
• Demonstrated ability to lead cross-functional engineering initiatives and mentor engineers.
• Excellent written and verbal communication; comfortable driving alignment across engineering, product, and compliance stakeholders.
• Experience working with enterprise ERP integrations (SAP, Oracle, or similar) is a plus, especially around master data sync, financial workflows.
• Hands-on experience with agentic development is required — you regularly build with and orchestrate AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot Agent Mode) as part of your day-to-day engineering workflow, not just as an occasional autocomplete tool.
• Working knowledge of ETL and data pipeline design is a plus; hands-on experience with AWS Glue is preferred. SFTP/EDI, webhooks, API gateways, batch reconciliation

About Trendlance Innovations

Trendlance Innovations Pvt. Ltd. is a Hyderabad-based technology company building scalable digital products with real-world impact. Alongside delivering high-quality software engineering solutions, we build and own our flagship product, Fameo—a verified social platform designed for creators, professionals, and public figures to build trusted digital identities and meaningful communities.

We're building a small, ambitious engineering team where ownership, craftsmanship, continuous learning, and long-term thinking are part of our culture. If you enjoy solving challenging engineering problems and building products from the ground up, we'd love to meet you.

About the Role

We're looking for a Senior Full Stack Engineer (Backend Focus) to help build and scale the backend systems that power Fameo.

This is a backend-first role with full-stack responsibilities. You'll own APIs, data models, integrations, payment workflows, and backend architecture while contributing to our web platform whenever needed. You'll work closely with our Flutter developer, product team, QA, and founders to design, build, and ship production-ready features.

This is an opportunity to become one of the early engineers shaping both the product and the engineering culture.

What You'll Do

• Design, build, and maintain scalable backend services, APIs, and databases.
• Build and own secure payment and escrow-based transaction systems.
• Design transactional workflows with strong data consistency and concurrency handling.
• Integrate third-party services such as payment gateways, authentication, KYC/e-sign, and notifications.
• Design optimized database schemas, migrations, indexes, and queries.
• Implement secure authentication, authorization, and role-based access control.
• Build APIs consumed by our Flutter mobile application and contribute to our web platform when required.
• Write unit, integration, and end-to-end tests.
• Review code and maintain high standards for performance, scalability, security, and documentation.
• Support deployments, monitoring, debugging, and production issue resolution.
• Collaborate with product, design, and engineering teams to continuously improve the platform.

What We're Looking For

• 6–8 years of experience building and shipping production backend systems.
• Strong experience designing and developing REST APIs using modern backend technologies.
• Full-stack capability with the ability to contribute to frontend development when required.
• Experience building payment systems, financial transaction workflows, or escrow platforms.
• Strong understanding of relational database design, transactions, indexing, and performance optimization.
• Experience integrating third-party APIs and payment gateways.
• Solid understanding of authentication, authorization, API security, validation, and rate limiting.
• Experience with cloud platforms (AWS, Azure, or GCP), containerization, and scalable architectures.
• Familiarity with CI/CD pipelines, Git, automated testing, and modern development workflows.
• Experience using AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, or similar while maintaining strong engineering judgment and code quality.
• Strong communication, ownership mindset, and problem-solving skills.

Nice to Have

• Experience building backend systems for Flutter applications.
• Experience with Redis, caching, queues, and background jobs.
• Experience working in an early-stage startup or product company.
• Familiarity with microservices and distributed systems.

Why Join Trendlance?

• Build a live product used by real users.
• Work directly with the founders and influence technical decisions.
• Take ownership of meaningful engineering challenges from day one.
• Help shape the architecture, engineering culture, and future direction of the product.
• Be part of a small, collaborative team where your work has visible impact.
• Competitive compensation with meaningful long-term growth opportunities.

Location

📍 Hyderabad, Telangana (Hybrid)

Full-time

Hiring Process

1. Application Review
2. Introductory Conversation
3. Technical Discussion
4. Founder Discussion
5. Offer

Before applying, please answer the following questions in your email:

1.Tell us about one backend system or product you've personally built that you're most proud of.

What problem did it solve?

What was your individual contribution?

What technologies did you use?

2.Why do you want to join an early-stage product startup instead of an established company?

3.Are you comfortable with a hybrid work model based in Hyderabad?

4.When can you realistically join if selected?

5.Are you open to a compensation package that includes both salary and long-term equity (ESOPs)?

6.Please include links to any of the following (if available):

GitHub

Portfolio

LinkedIn

Technical blog

Open-source contributions

Include:

Your updated resume

Answers to the six questions above

Subject line:

Application – Senior Full Stack Engineer – Your Name

We personally review every application and will reach out to shortlisted candidates for the next stage of the hiring process.

If this sounds like the kind of engineering challenge you're looking for, we'd love to hear from you.

Job Summary

We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications.
• Develop RESTful APIs using Flask and/or Django.
• Build scalable data processing pipelines using PySpark.
• Write efficient SQL queries, stored procedures, and optimize database performance.
• Integrate applications with databases and third-party services.
• Collaborate with cross-functional teams to gather and implement business requirements.
• Troubleshoot, debug, and enhance application performance.
• Follow coding standards, perform code reviews, and maintain technical documentation.

Required Skills

• Strong proficiency in Python.
• Hands-on experience with Flask and/or Django.
• Experience with PySpark for large-scale data processing.
• Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
• Understanding of REST APIs and microservices architecture.
• Experience with Git/version control.
• Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Good problem-solving and analytical skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Docker and Kubernetes.
• Knowledge of CI/CD pipelines.
• Experience with Airflow or other workflow orchestration tools.
• Understanding of Agile/Scrum methodologies.

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

Position Title : Software Engineer

Position Type: Full-Time

Department: Research & Development

Reports To: First Level Manager,

Company Background:

Affiliated with US Group companies, CGLIA Solutions LLP is an innovative Software Product Development organization developing highly available, highly secure, cloud-based enterprise software products catering to the needs of leading Research Facilities, University Medical Centers, Hospitals, and Pharmaceutical companies across the globe, ultimately contributing to the development of life-saving medications.

CGLIA is committed to helping software professionals unleash their creativity, build world-class enterprise applications, and accelerate their careers in a collaborative and innovation-driven environment.

Job Summary :

As a Software Engineer (Java), you will be responsible for designing, developing, and maintaining scalable, secure, and high-performance cloud-based enterprise applications. You will work closely with Product Management, Business Analysts, QA, DevOps, and cross-functional engineering teams to deliver innovative software solutions that exceed customer expectations.

The ideal candidate should be a self-starter with excellent analytical and problem-solving skills, strong expertise in Java backend technologies, and a passion for developing high-quality software. This role also provides an opportunity to mentor junior engineers, participate in technical discussions, and contribute to architectural decisions.

Key Responsibilities

• Participate in requirement analysis and collaborate with Product Management to understand functional and non-functional requirements.
• Contribute to technical design discussions and prepare technical design documentation.
• Design, develop, test, and maintain scalable backend applications using Java and Spring Boot.
• Develop and maintain RESTful APIs and Microservices.
• Write clean, reusable, maintainable, and well-documented code following industry best practices.
• Optimize application performance, scalability, reliability, and security.
• Perform unit testing, code reviews, debugging, and production issue resolution.
• Collaborate with QA, DevOps, UI, and Product teams throughout the software development lifecycle.
• Mentor junior engineers and actively contribute to knowledge sharing within the team.
• Stay updated with emerging technologies, frameworks, and software development best practices.
• Participate in technical interviews and hiring activities to support organizational growth.
• Undertake additional responsibilities as required to achieve project and organizational objectives.
• 
  

Qualifications (Education, Experience, Skills & Knowledge)

• Bachelor's degree in Computer Science, Information Technology, or an equivalent discipline.
• 5+ years of hands-on experience in Java application development.
• Strong expertise in Core Java (Java 8/11/17) and Object-Oriented Programming concepts.
• Extensive experience with Spring Boot, Spring MVC, Spring Data JPA, Spring Security, and Hibernate.
• Strong experience designing and developing RESTful APIs and Microservices.
• Experience working with relational databases such as MySQL, PostgreSQL, Oracle, or MS SQL Server.
• Good understanding of Data Structures, Algorithms, Design Patterns, and Multithreading.
• Angular, Bootstrap, Material Design, HTML5, CSS, JavaScript
• Hands-on experience with Git, Maven/Gradle, and Agile/Scrum development methodologies.
• Experience with code quality tools such as SonarQube and static code analysis.
• Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP) is preferred.
• Knowledge of messaging systems such as Kafka or RabbitMQ is an added advantage.
• Strong analytical, troubleshooting, and debugging skills.
• Excellent written, verbal, and interpersonal communication skills.
• Ability to work independently and collaboratively in a fast-paced product development environment.
• Eagerness to learn and adopt new technologies.

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Location: Hyderabad (Hybrid)

At KnackLabs, the AI innovation arm of CAW Studios, we help enterprises transform their businesses through AI Agents, Voice AI, Enterprise Automation, and AI-native products.

Our team builds production-grade AI systems that solve real-world business problems using Large Language Models (LLMs), Agentic AI, and modern engineering practices.

If you're passionate about quality and excited to work on the next generation of AI-powered applications, we'd love to hear from you.

Key Responsibilities

● Understand business requirements and create effective test scenarios and test cases.

● Perform Functional, Regression, Integration, Smoke, Sanity, Exploratory, and UI testing.

● Execute end-to-end testing for web applications, APIs, and AI-powered features.

● Validate AI-based applications such as chatbots and LLM-powered workflows for expected behavior, accuracy, and usability.

● Perform API testing using Postman or Swagger.

● Identify, report, track, and verify defects using Jira or similar tools.

● Validate application data using basic SQL queries.

● Collaborate with developers, product managers, and AI engineers in Agile teams.

● Maintain test cases, test execution reports, and QA documentation.

● Participate in sprint planning, release validation, and QA reviews. Required Technical Skills

● Good understanding of SDLC, STLC, and software testing fundamentals.

● Knowledge of Functional, Regression, Integration, Smoke, Sanity, and Exploratory Testing.

● Hands-on experience with Postman for API testing.

● Familiarity with Jira or similar bug tracking tools.

● Basic knowledge of SQL, REST APIs, JSON, and HTTP methods.

● Understanding of Agile/Scrum methodologies.

● Exposure to Selenium, Cypress, or Playwright is an added advantage.

Basic AI Knowledge (Preferred)

● Basic understanding of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs).

● Familiarity with AI tools such as ChatGPT, Gemini, Claude, or similar. ● Basic understanding of prompt-based applications and AI chatbots.

● Awareness of testing AI-generated responses for accuracy, consistency, and edge cases.

● Curiosity to learn and work on AI and Agentic AI applications. Qualifications & Skills

● Bachelor's degree in Computer Science, Information Technology, or a related field.

● 0–2 years of experience in Manual Testing (internships, academic projects, or full-time experience).

● Strong analytical and problem-solving skills.

● Excellent attention to detail and documentation.

● Good verbal and written communication skills.

● Self-driven, collaborative, and eager to learn emerging technologies.

Good to Have Manual Testing

• API Testing • Postman • Jira • SQL • REST APIs • JSON • Agile • Selenium/Cypress (Basic) • AI & LLM Basics • ChatGPT/Gemini • Prompt Validation

Job Overview

We are looking for an experienced QA Professional with 5–10 years of experience specializing in Pega Testing. In this role, you will design, execute, and manage testing strategies for complex, large-scale enterprise applications built on the Pegaplatform. You will ensure the seamless performance, integration, and functionality of workflows and case management systems.

Key Responsibilities

• Strategy & Planning: Define, design, and implement comprehensive test strategies, test plans, and test cases specifically tailored for Pega BPM applications.

• Functional & Rule Validation: Validate Pega rulesets, case management flows, data pages, routing logic, declarative expressions, and access groups.

• Automation Leadership: Design and maintain automated test frameworks for PegaUI and API layers using tools like Selenium, Cucumber, Tosca, or Pega Autotest.

• Defect & Defect Triaging: Track, analyze, and report defects using Jira, collaborating closely with Pega developers and Business Analysts to resolve complex issues.

• Regression & Integration Testing: Execute rigorous regression testing for Pegaplatform upgrades and test end-to-end integration with third-party APIs and databases.

• Mentorship & Quality Control: Lead a team of QA engineers, conduct test case reviews, and enforce industry-standard QA best practices.

Required Skills & Qualifications

• Pega Expertise: 4+ years of dedicated hands-on experience in testing Pega PRPC applications (Pega 8.x experience preferred).

• Certifications: Pega Certified Business Architect (PCBA), Certified System Architect (CSA), or Certified Pega QA is highly desirable.

• Testing Automation: Proven experience using automation tools (Selenium WebDriver, Tosca, Cucumber, or SoapUI/Postman for API testing) within a Pegaecosystem.

• Technical Proficiency: Strong understanding of SQL, XML, JSON, and Agile/Scrum methodologies.

• Analytical Skills: Exceptional ability to translate complex business requirements and user stories into structured test scenarios.

About the Role

We are looking for a skilled SQL Server DBA with 4–5 years of experience in SQL Server database administration, performance tuning, and enterprise data integration. The ideal candidate should have hands-on experience working with Product Lifecycle Management (PLM) systems, ERP integrations, and data bridge solutions to enable seamless data exchange between enterprise applications.

Key Responsibilities

· Administer, monitor, and maintain Microsoft SQL Server databases to ensure high availability, security, and performance.

· Design, implement, and support PLM–ERP data bridge solutions for seamless integration between Product Lifecycle Management and ERP systems.

· Develop and optimize SQL queries, stored procedures, views, triggers, and database objects.

· Monitor database performance and perform query optimization, indexing, and troubleshooting.

· Design and implement database backup, recovery, disaster recovery, and high availability strategies.

· Build and maintain ETL processes and data synchronization workflows between PLM, ERP, and other enterprise applications. 

· Collaborate with application development teams to support database design and application deployments.

· Perform database migrations, upgrades, patching, and environment maintenance.

· Ensure database security, user management, and compliance with organizational standards.

· Create and maintain technical documentation, database architecture, and operational procedures. 

Required Skills & Experience

· 4–5 years of hands-on experience as a SQL Server DBA.

· Strong expertise in Microsoft SQL Server (2016/2019/2022 or later).

· Excellent knowledge of SQL, T-SQL, Stored Procedures, Functions, Triggers, Views, and Performance Tuning.

· Experience in database backup, restore, replication, indexing, and high availability (Always On, Log Shipping, Replication).

· Hands-on experience working with Product Lifecycle Management (PLM) systems.

· Experience implementing or supporting PLM–ERP data bridge/integration solutions.

· Knowledge of ERP systems such as SAP, Oracle E-Business Suite, Microsoft Dynamics, Infor, or similar platforms.

· Experience with ETL tools and enterprise data integration.

· Strong troubleshooting and root cause analysis skills. 

Preferred Skills

· Experience with Teamcenter, Windchill, Enovia, Arena PLM, or similar PLM platforms.

· Knowledge of SSIS, SSRS, and SSAS.

· Experience with PowerShell or Python scripting for database automation.

· Exposure to Azure SQL Database or cloud-based SQL environments. 

· Understanding of manufacturing, engineering, or product development processes.

· Familiarity with CI/CD and DevOps practices. 

Educational Qualification

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

· Strong analytical and problem-solving skills.

· Excellent communication and stakeholder management abilities.

· Ability to work independently in a remote environment.

· Strong attention to detail and commitment to database reliability and performance.

· Ability to manage multiple priorities in a fast-paced environment.

Automation SDET (Java + Selenium)

Experience

5 – 12 Years

Location

Bangalore | Chennai | Pune | Hyderabad | Gurgaon | Trivandrum | Bhubaneswar | Kolkata

About the Role

We are looking for a highly skilled Automation SDET with strong expertise in Java-based test automation. This role is ideal for professionals who enjoy owning automation strategy, designing robust test frameworks, and mentoring team members while remaining hands-on.

You will work closely with development, product, and DevOps teams to ensure high-quality software delivery in an Agile environment.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java and Selenium
• Perform API automation testing using Rest Assured
• Create and execute automated and manual test cases, test scripts, and test plans
• Prepare and maintain Traceability Matrix (RTM) and test documentation
• Apply BDD frameworks (Cucumber or similar) for automation scenarios
• Execute database validations using SQL queries
• Lead and mentor a medium-sized QA team while remaining hands-on
• Contribute to automation strategy, test design techniques, and best practices
• Participate actively in Agile ceremonies and collaborate across onsite–offshore teams
• Track defects and test execution using tools like ALM and JIRA
• 
  

Must-Have Skills

• 5+ years of experience in Automation Testing / SDET roles
• Strong hands-on expertise in Java and Selenium
• In-depth understanding of Core Java concepts:
• 
  
• OOP principles
• Collections Framework
• Exception Handling
• 
  
• Hands-on experience with API automation (Rest Assured)
• Strong SQL skills for backend data validation
• Experience working with BDD frameworks (Cucumber, etc.)
• Solid understanding of software QA methodologies, tools, and processes
• 
  

Leadership & Collaboration Skills

• Ability to work independently and take ownership of deliverables
• Experience leading and mentoring a QA team
• Comfortable working in an onsite–offshore delivery model
• Strong communication and stakeholder management skills
• 
  

Good to Have

• Experience with CI/CD tools (Jenkins, Git, Maven/Gradle)
• Exposure to cloud-based testing or microservices architectures
• Domain experience in BFSI, Telecom, or Retail (preferred but not mandatory)

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Job Title : Automation Testing Engineer

Experience : 2 to 8 Years

Location : Chennai / Hyderabad

Work Mode : Work From Office

Mandatory Skills :

Playwright, TypeScript, Test Automation, Azure DevOps, SQL, and experience with IRT (Interactive Response Technology) platforms.

Key Responsibilities :

• Develop and maintain automated test scripts for web applications.
• Execute functional and regression testing to ensure application quality.
• Collaborate with development teams and stakeholders to validate requirements and test scenarios.
• Support test planning, execution, and defect tracking using Azure DevOps or similar tools.
• Perform data validation and ensure application reliability using SQL.

Required Skills :

• Strong experience in Test Automation using Playwright and TypeScript.
• Hands-on experience with IRT (Interactive Response Technology) platforms.
• Proficiency in Azure DevOps or similar test management tools.
• Good understanding of SQL and relational databases.
• Strong analytical, communication, and stakeholder management skills.
• Experience in Clinical Trials / Life Sciences domain is preferred.

Preferred Domain Experience :

• Exposure to randomization and patient allocation workflows.
• Understanding of blinding and unblinding processes.
• Knowledge of drug dispensing and inventory management.
• Experience with clinical study setup, execution, reporting, and data validation.

We are seeking a detail-oriented and proactive QA Tester to join our Engineering Team. The ideal candidate will have hands-on experience in both manual and automated testing, with exposure to SaaS or fintech products. This role involves ensuring product quality, reliability, and performance across web applications, APIs, and financial workflows while contributing to scalable automation frameworks and AI-driven testing initiatives. 

Key Responsibilities

• Design, write, and execute detailed test cases, test plans, and regression suites for web and API-based applications.
• Perform functional, regression, integration, and exploratory testing across multiple product modules.
• Build and maintain automated test suites using tools such as Selenium, Cypress, Playwright, or similar frameworks.
• Develop and enhance AI-based test suite creation and automation processes to improve testing efficiency and coverage.
• Test payment workflows, reconciliation logic, financial calculations, and transaction-related systems with high accuracy.
• Conduct API testing using tools such as Postman and REST Assured.
• Validate backend data and perform data integrity checks using SQL queries.
• Collaborate closely with developers, product managers, and business teams to identify, troubleshoot, and resolve defects.
• Participate in sprint planning, requirement reviews, and release validation activities.
• Monitor product quality metrics and contribute to continuous improvement of QA processes and testing standards.
• Ensure timely reporting, tracking, and closure of defects using defect management tools.

Required Experience

• 2–4 years of professional experience in QA / Software Testing for SaaS, fintech, or enterprise products.
• Hands-on experience with both manual and automation testing methodologies.
• Experience in AI-based testing frameworks or intelligent test automation is preferred.
• Exposure to testing financial systems, payment flows, reconciliation logic, or financial calculations is a strong plus.

Qualifications

• Degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong understanding of software testing lifecycle, QA methodologies, and defect management processes.
• Proficiency in automation tools such as Selenium, Cypress, Playwright, or equivalent frameworks.
• Experience with API testing tools such as Postman and REST Assured.
• Basic to intermediate SQL skills for backend data validation and verification.
• Experience working with Agile / Scrum development environments.
• Strong analytical, debugging, and problem-solving skills.
• Excellent verbal and written communication skills.
• Ability to work collaboratively in cross-functional teams within a fast-paced startup environment.

Preferred / General Requirements

• Experience working with fintech, accounting, payments, or finance automation platforms.
• Familiarity with CI/CD pipelines and automated test execution workflows.
• Understanding of performance, security, and usability testing concepts is an added advantage.
• Passion for delivering high-quality products with strong attention to detail and customer experience.

GCP Data Engineer

Experience: 8 – 15 yrs

Grade: C2/D1

Skill: GCP + Python/Pyspark

NP: Immediate joiners

• 8+ years of hands-on experience in Python.
• 8+ years of hands-on experience in Data Engineering.
• 5+ Years of hands-on experience in GCP Big Query.
• Experience in building scalable data pipelines and automation frameworks.
• Experience migrating data and pipelines from SQL Server to GCP Big Query.
• Familiarity with CI/CD tools and Agile methodologies.
• Good understanding on Data Governance, Data Quality, Metadata, Lineage
• Expertise in Data Model design in Big query.
• Expertise in writing optimal Big query SQL and Stored Proc.
• Expertise in GCS Cloud Storage, Pub Sub, Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.
• Expertise in Vertex AI and Feature Store.
• Expertise in Spark and Apache Beam is desirable.

Email resumes to: naveenkb @ 10xscale.ai

Data Engineer — AI / BI

Artificial Intelligence & Business Intelligence | Data & Analytics

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

Position Overview

We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation

Responsibilities:

Data & AI Platform Engineering (Databricks-Centric):

• Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
• Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
• Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
• Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:

• Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
• Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
• Design standardized data ingestion processes with automated error handling, retries, and alerting.

 Data Quality, Monitoring, and Governance:

• Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
• Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
• Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:

• Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
• Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
• Work with security teams to audit and certify compliance controls.

   AI/ML-Ready Data Foundation:

• Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
• Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
• Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:

• Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
• Build data marts and warehousing solutions using platforms like Databricks.
• Optimize data storage and access patterns for performance and cost-efficiency.

 Documentation & Enablement:

• Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
• Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
• Conduct code reviews and promote reusable patterns and frameworks across teams.

  Reporting and Accountability:

• Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
• Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:

• Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
• Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
• Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
• Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:

• Prior UMGC or USM experience preferred.
• Experience with Databricks Unity Catalog for metadata management and access control.
• Experience deploying ML models at scale using MLFlow or similar MLOps tools.
• Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

Job Title: Full Stack & Automation Engineer (FinTech Preferred)

Location: On-site | 6 Days/Week

Salary: ₹50,000 – ₹1,50,000/month (Based on experience)

About the Role:

Nova Orbit is looking for a highly capable technical operator who can build scalable systems, automate internal workflows, and strengthen backend infrastructure for a fast-growing finance and investment ecosystem focused on unlisted markets and institutional operations.

Key Responsibilities:

• Build and manage full stack applications for internal tools, dashboards, and business operations
• Design scalable backend architecture with strong system design, APIs, database, and security practices
• Deploy and manage cloud infrastructure across AWS / Azure
• Automate repetitive tasks across departments including operations, CRM, finance, reporting, and customer workflows
• Build workflow automation systems, integrations, bots, and process pipelines
• Improve efficiency by reducing manual processes through technology

Required Skills:

• Strong full stack development (Frontend + Backend)
• Deep backend architecture and system design expertise
• AWS / Azure cloud deployment and infrastructure management
• Proficiency in Python, Node.js, JavaScript/TypeScript, SQL
• API development, microservices, database optimization
• Automation tools like Zapier, n8n, Make, Power Automate, Selenium, or custom scripting
• Workflow design, process mapping, task automation, and RPA concepts
• DevOps, CI/CD pipelines, Docker, Git
• Strong analytical and problem-solving skills

Preferred:

• FinTech / BFSI experience (payments, investment platforms, compliance, CRM automation)
• Experience with internal business process automation across multiple departments

Ideal Candidate:

A systems-driven builder who can combine software engineering, backend scalability, cloud expertise, and workflow automation to optimize company-wide operations.

https://loopx.redstring.co.in/form/6a044e6103b64ed11120a12d

Job Title: Freelance Python Team Lead & Developer (Hyderabad-based)

Project Overview

We are a service-based IT firm seeking a Senior Python Developer (3–5 years experience) for a long-term freelance engagement. This is a unique "Player-Coach" role where you will balance high-level individual coding with the leadership of a junior intern team.

Logistics & Commitment

• Location: In-office (Hyderabad). Candidates must be local.
• Time Commitment: 3–4 hours per day, 5 days a week (approx. 20 hours/week).
• Duration: Ongoing freelance contract.

Core Responsibilities

• Team Leadership: Lead and mentor a team of interns. You will be responsible for task delegation, technical guidance, and conducting rigorous code reviews to ensure production-quality output.
• Individual Contribution: Act as the lead developer for complex backend modules, API architecture, and system integrations using Python (Django/FastAPI).
• Delivery Management: Ensure that the intern team meets project milestones and adheres to clean coding standards (PEP 8).

Requirements

• 3–5 years of professional experience in Python development.
• Proven experience in a service-based company environment.
• Strong proficiency in Django, Flask, or FastAPI and SQL/NoSQL databases.
• Excellent communication skills with a natural ability to mentor and explain technical logic to juniors.
• Availability to work from our Hyderabad office during standard business hours.

Please include your resume and a brief summary of your experience leading teams or mentoring juniors.

Position: Microsoft .NET Full Stack Developer

Experience: 4–6 Years

Open Positions: 10

Location: PAN India (Final Round – Face-to-Face Interview)

Budget: Up to 15 LPA

Notice Period: Immediate joiners preferred

Key Responsibilities:

· Work on highly distributed and scalable system architecture

· Design, develop, test, and maintain high-quality software solutions

· Ensure performance, security, and maintainability of applications

· Collaborate with cross-functional teams and stakeholders

· Perform system testing and resolve technical issues

Required Skills:

· Strong experience in ASP.NET, C#, .NET Core, MVC

· Hands-on experience with SQL Server / PostgreSQL

· Experience in Angular / React (Frontend technologies)

· Knowledge of microservices architecture & RESTful APIs

· Familiarity with CQRS pattern

· Exposure to AWS / Docker / Kubernetes

· Experience with CI/CD pipelines (Azure DevOps, Jenkins)

· Knowledge of Node.js is an added advantage

· Understanding of Agile methodology

· Good exposure to cybersecurity and compliance

Technology Stack:

· Microsoft .NET technologies (primary)

· Cloud platforms: AWS (SaaS/PaaS/IaaS)

· Databases: MSSQL, MongoDB, PostgreSQL

· Caching: Redis, Memcached

· Messaging queues: RabbitMQ, Kafka, SQS

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

Data Quality Engineer

Engineering - Hyderabad, Telangana

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Data Quality Engineer 

Overview 

We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. 

Our core data quality stack includes: 

Data Quality Frameworks 

• Delta Live Tables expectations for declarative quality enforcement 
• Great Expectations for comprehensive data validation 
• Databricks data profiling and quality monitoring 

Platform & Tools 

• Databricks SQL and PySpark for quality checks at scale 
• Unity Catalog for lineage tracking and governance compliance 
• Python for custom validation logic and anomaly detection 

Observability 

• Quality metrics dashboards and alerting 
• Data profiling and statistical analysis 
• Anomaly detection and drift monitoring 

Key Responsibilities 

• Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations 
• Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages 
• Develop data profiling processes to understand data distributions, patterns, and anomalies 
• Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) 
• Implement anomaly detection mechanisms to identify data drift and quality degradation 
• Create quality dashboards and alerting systems for proactive issue identification 
• Collaborate with data engineers to embed quality checks into ETL/ELT pipelines 
• Partner with data architects to establish data quality standards and governance policies 
• Investigate and perform root cause analysis for data quality issues 
• Document data quality rules, thresholds, and remediation procedures 
• Support data certification processes for simulation-ready and ML-ready datasets 
• Drive continuous improvement in data quality practices and tooling 

Preferred Qualifications 

• 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality 
• Track record of implementing enterprise-scale data quality frameworks 
• Experience with Lakehouse architectures (Delta Lake, Iceberg) 
• Familiarity with real-time data quality monitoring for streaming pipelines 
• Experience working in agile, cross-functional teams 

Highly Desirable 

• Experience with data quality for digital twin or simulation platforms 
• Familiarity with operational state data validation and temporal consistency checks 
• Experience with graph data quality validation (Neo4j or similar) 
• Exposure to ML data quality (feature validation, training data quality) 
• Experience with data observability platforms 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

We have an urgent opening for a skilled and detail-oriented professional for the below role:

Quick Role Overview:

• Role: QA Automation Engineer
• Location: Hyderabad
• Job Type: Full-Time
• Experience: 6 – 10 Years
• Notice Period: Immediate to 30 Days Preferred

Job Description:

We are looking for a highly analytical QA Engineer with strong expertise in data validation and SQL-based testing. The ideal candidate will be responsible for ensuring the quality and integrity of data-driven applications by designing effective test strategies and executing comprehensive test plans.

This role requires hands-on experience with SQL, defect management, CI/CD pipelines, and automation tools, along with the ability to understand business requirements and translate them into test scenarios.

Key Responsibilities:

• Analyze business requirements and translate them into detailed test plans, scenarios, and test cases
• Perform data validation and ensure data accuracy using SQL queries
• Design, develop, and execute manual and automated test cases
• Manage defects by logging, tracking, and ensuring timely resolution
• Work closely with development and business teams to ensure quality deliverables
• Maintain and produce high-quality testing documentation
• Ensure system data integrity for daily operations
• Participate in CI/CD processes and support release cycles
• Collaborate using tools like Jira, TeamCity, and Octopus

Desired Skills & Competencies:

Must-Have Skills:

• Strong analytical and problem-solving skills
• Good understanding of Data / Data Analysis
• Strong hands-on experience with Microsoft SQL
• Solid understanding of SQL joins and complex queries
• Experience with Jira for defect tracking
• Hands-on experience with TeamCity and Octopus
• Experience with code repository tools (preferably Bitbucket)
• Mandatory experience with any Automation Testing tool
• Knowledge of CI/CD pipelines

Good-to-Have:

• Exposure to Agile methodologies
• Experience in data-driven testing environments

Role & Responsibilities

drives large-scale data modernization and AI readiness for global enterprises. We are looking for an experienced Data Modeler to design, standardize, and maintain enterprise data models across our modernization initiatives — ensuring consistency, quality, and business alignment across cloud data platforms.

The person will be responsible for translating business requirements and data flows into robust conceptual, logical, and physical data models across multiple domains (Customer, Product, Finance, Supply Chain, etc.). You will work closely with Data Architects, Engineers, and Governance teams to ensure data is structured, traceable, and optimized for analytics and interoperability across platforms like Snowflake, Dremio, and Databricks.

Key Responsibilities-

• Develop conceptual, logical, and physical data models aligned with enterprise architecture standards.
• Engage with Business Stakeholders: Collaborate with business teams, business analysts and SMEs to understand business processes, data lifecycles, and key metrics that drive value and outcomes.
• Value Chain Understanding: Analyze end-to-end customer and product value chains to identify critical data entities, relationships, and dependencies that should be represented in the data model.
• Conceptual and Logical Modeling: Translate business concepts and data requirements into conceptual and logical data models that capture enterprise semantics and support analytical and operational needs.
• Physical Data Modeling: Design and implement physical data models optimized for performance and scalability
• Semantic Layer Design: Create semantic models that enable business access to data via BI tools and data discovery platforms.
• Data Standards and Governance: Ensure models comply with enterprise data standards, naming conventions, lineage tracking, and governance practices.
• Implement naming conventions, data standards, and metadata definitions across all models.
• Collaboration with Data Engineering: Work closely with data engineers to align data pipelines with the logical and physical models, ensuring consistency and accuracy from ingestion to consumption.
• Manage version control, lineage tracking, and change documentation for models.
• Participate in data quality and governance initiatives to ensure trusted and consistent data definitions across domains.
• Create and maintain a business glossary in collaboration with the governance team.

Ideal Candidate

• Strong Enterprise Data Modeller profile (Modern Data Platforms)
• Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms
• Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools
• Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.
• Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.
• Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams
• Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
• Preferred (Experience 1) – Should have familiarity with data governance, metadata management, lineage, and business glossary tools such as Collibra, Alation, or Microsoft Purview.
• Preferred (Experience 2) – Exposure to data integration pipelines and ETL frameworks such as Informatica, DBT, Airflow, or similar tools.
• Preferred (Data Management) – Understanding of master data management (MDM) and reference data management principles.
• Preferred (Domain) – Experience working with high-tech or manufacturing data domains, including customer, product, or supply chain data models

Immediate hiring for Senior Data Engineer

📍 Location: Hyderabad/Bangalore

💼 Experience: 7+Years

🕒 Employment Type: Full-Time

🏢 Work Mode: Hybrid

📅 Notice Period: 0-1Month serving notice only

   We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our enterprise-wide data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

🔎 Key Responsibilities:

• Data Pipeline Development
• Data Modeling and Architecture
• Data Integration and API Development
• Data Infrastructure Management
• Collaboration and Documentation

🎯 Required Skills:

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
• 7+ years of proven experience in data engineering, software development, or related technical roles.
• 7+ years of experience in programming languages commonly used in data engineering (Python, Java, SQL, Stored Procedures, Scala, etc.).
• 7+ years of experience with database systems, data modeling, and advanced SQL.
• 7+ years of experience with ETL tools such as SSIS, Snowflake, Databricks, Azure Data Factory, Stored Procedures, etc.
• Experience with big data technologies such as Hadoop, Spark, Kafka, etc.
• 5+ years of experience working with cloud platforms like Azure, AWS, or Google Cloud.
• Strong analytical, problem-solving, and debugging skills with high attention to detail.
• Excellent communication and collaboration skills in a team-oriented, fast-paced environment.
• Ability to adapt to rapidly evolving technologies and business requirements.

Position Title : Senior Data Engineer(Founding Member) - Insurtech StartUp

Location : Hyderabad(Onsite)

Immediate to 15 days Joiners

Experience : 5+ to 13 Years

Role Summary

We are looking for a Senior Data Engineer who will play a foundational role in:

• Client onboarding from a data perspective
• Understanding complex insurance data flows
• Designing secure, scalable ingestion pipelines
• Establishing strong data modeling and governance standards

This role sits at the intersection of technology, data architecture, security, and business onboarding.

.

Key Responsibilities

• Lead end-to-end data onboarding for new clients and partners, working closely with business and product teams to understand client systems, data formats, and migration constraints
• Define and implement data ingestion strategies supporting multiple sources and formats, including CSV, XML, JSON files, and API-based integrations
• Design, build, and operate robust, scalable ETL/ELT pipelines, supporting both batch and near-real-time data processing
• Handle complex insurance-domain data including Contracts, Claims, Reserves, Cancellations, and Refunds
• Architect ingestion pipelines with security-by-design principles, including secure credential management (keys, secrets, tokens), encryption at rest and in transit, and network-level controls where required
• Enforce role-based and attribute-based access controls, ensuring strict data isolation, tenancy boundaries, and stakeholder-specific access rules
• Design, maintain, and evolve canonical data models that support operational workflows, reporting & analytics, and regulatory/audit requirements
• Define and enforce data governance standards, ensuring compliance with insurance and financial data regulations and consistent definitions of business metrics across stakeholders
• Build and operate data pipelines on a cloud-native platform, leveraging distributed processing frameworks (Spark / PySpark), data lakes, lakehouses, and warehouses
• Implement and manage orchestration, monitoring, alerting, and cost-optimization mechanisms across the data platform
• Contribute to long-term data strategy, platform architecture decisions, and cost-optimization initiatives while maintaining strict security and compliance standards

Required Technical Skills

• Core Stack: Python, Advanced SQL(Complex joins, window functions, performance tuning), Pyspark
• Platforms: Azure, AWS, Data Bricks, Snowflake
• ETL / Orchestration: Airflow or similar frameworks
• Data Modeling: Star/Snowflake schema, dimensional modeling, OLAP/OLTP
• Visualization Exposure: Power BI
• Version Control & CI/CD: GitHub, Azure Devops, or equivalent
• Integrations: APIs, real-time data streaming, ML model integration exposure

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in data engineering or similar roles
• Strong ability to align technical solutions with business objectives
• Excellent communication and stakeholder management skills

What We Offer

• Direct collaboration with the core US data leadership team
• High ownership and trust to manage the function end-to-end
• Exposure to a global environment with advanced tools and best practices

Job Title: Senior Full-stack Developer (Python,React)

Location: Hyderabad, India (On-site Only)

Employment Type: Full-Time

Work Mode: Office-Based; Remote or Hybrid Not Allowed

Role Summary

We are looking for a skilled Senior Fullstack Developer with expertise in Django (Python),React, RESTful APIs, GraphQL, microservices architecture, Redis, and AWS services (SNS, SQS, etc.). The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems and APIs to support dynamic frontend applications and services.

 Required Skillset:

l 9+ years of professional experience writing production-grade software, including experience leading the design of complex systems.

l Strong expertise in Python (Django or equivalent frameworks) and REST API development.

l Solid exp of frontend frameworks such as React and TypeScript.

l Strong understanding of relational databases (MySQL or PostgreSQL preferred).

l Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

l Hands-on experience with cloud infrastructure (AWS preferred)

l Proven experience debugging complex production issues and improving observability.

Preferred Skillset:

l Experience in enterprise SaaS or B2B systems with multi-tenancy, authentication (OAuth, SSO, SAML), and data partitioning. Exposure to Kafka or RabbitMQ, microservices.

l Knowledge of event-driven architecture, A/B testing frameworks, and analytics pipelines.

l Familiarity with accessibility standards and best practices Agile/Scrum methodologies.

l Exposure to the Open edX ecosystem or open-source contributions in education tech.

l Demonstrated history of technical mentorship, team leadership, or cross-team collaboration.

Tech Stack:

l Backend: Python (Django), (Celery,Redis Asynchronous workflows), REST APIs

l Frontend: React, TypeScript, SCSS

l Data: MySQL, Snowflake, Elasticsearch

l DevOps/Cloud: Docker,Kubernetes,GitHub Actions,AWS

l Monitoring: Datadog 

l Collaboration Tools: GitHub, Jira, Slack, Segment

Primary Responsibilities:

l Lead, guide, and mentor a team of Python/Django engineers, offering hands-on technical support and direction.

l Architect, design, and deliver secure, scalable, and high-performing web applications.

l Manage the complete software development lifecycle including requirements gathering, system design, development, testing, deployment, and post-launch maintenance.

l Ensure compliance with coding standards, architectural patterns, and established development best practices.

l Collaborate with product teams, QA, UI/UX, and other stakeholders to ensure timely and high-quality product releases.

l Perform detailed code reviews, optimize system performance, and resolve production-level issues.

l Drive engineering improvements such as automation, CI/CD implementation, and modernization of outdated systems.

l Create and maintain technical documentation while providing regular updates to leadership and stakeholders.

Description

SRE Engineer

Role Overview 

As a Site Reliability Engineer, you will play a critical role in ensuring the availability and performance of our customer-facing platform. You will work closely with DevOps, DBA, and Development teams to provision and maintain infrastructure, deploy and monitor our applications, and automate workflows. Your contributions will have a direct impact on customer satisfaction and overall experience.

Responsibilities and Deliverables

• Manage, monitor, and maintain highly available systems (Windows and Linux)

• Analyze metrics and trends to ensure rapid scalability.

• Address routine service requests while identifying ways to automate and simplify.

• Create infrastructure as code using Terraform, ARM Templates, Cloud Formation.

• Maintain data backups and disaster recovery plans.

• Design and deploy CI/CD pipelines using GitHub Actions, Octopus, Ansible, Jenkins, Azure DevOps.

• Adhere to security best practices through all stages of the software development lifecycle

• Follow and champion ITIL best practices and standards.

• Become a resource for emerging and existing cloud technologies with a focus on AWS.

Organizational Alignment

• Reports to the Senior SRE Manager

• This role involves close collaboration with DevOps, DBA, and security teams.

Technical Proficiencies

• Hands-on experience with AWS is a must-have.

• Proficiency analyzing application, IIS, system, security logs and CloudTrail events

• Practical experience with CI/CD tools such as GitHub Actions, Jenkins, Octopus

• Experience with observability tools such as New Relic, Application Insights, AppDynamics, or DataDog.

• Experience maintaining and administering Windows, Linux, and Kubernetes.

• Experience in automation using scripting languages such as Bash, PowerShell, or Python.

• Configuration management experience using Ansible, Terraform, Azure Automation Run book or similar.

• Experience with SQL Server database maintenance and administration is preferred.

• Good Understanding of networking (VNET, subnet, private link, VNET peering).

• Familiarity with cloud concepts including certificates, Oauth, AzureAD, ASE, ASP, AKS, Azure Apps, 

Load Balancers, Application Gateway, Firewall, Load Balancer, API Management, SQL Server, Databases on Azure

Experience

• 7+ years of experience in SRE or System Administration role

• Demonstrated ability building and supporting high availability Windows/Linux servers, with emphasis on the WISA stack (Windows/IIS/SQL Server/ASP.net)

• 3+ years of experience working with cloud technologies including AWS, Azure.

• 1+ years of experience working with container technology including Docker and Kubernetes.

• Comfortable using Scrum, Kanban, or Lean methodologies.

Education

• Bachelor’s Degree or College Diploma in Computer Science, Information Systems, or equivalent 

experience.

Additional Job Details:

• Working hours: 2:00 PM / 3:00 PM to 11:30 PM IST

• Interview process: 3 technical rounds

• Work model: 3 days’ work from office

We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.

Key Responsibilities:

• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.

• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.

• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.

• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.

• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.

• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.

• Optimize models for performance, scalability, and reliability.

• Maintain documentation and promote knowledge sharing within the team.

Mandatory Requirements:

• 4+ years of relevant experience as an AI/ML Engineer.

• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.

• Experience implementing RAG pipelines and prompt engineering techniques.

• Strong programming skills in Python.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).

• Experience with vector databases (FAISS, Pinecone, ChromaDB).

• Strong understanding of SQL and database systems.

• Experience integrating AI solutions into BI tools (Power BI, Tableau).

• Strong analytical, problem-solving, and communication skills. Good to Have

• Experience with cloud platforms (AWS, Azure, GCP).

• Experience with Docker or Kubernetes.

• Exposure to NLP, computer vision, or deep learning use cases.

• Experience in MLOps and CI/CD pipelines

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

JOB DETAILS:

* Job Title: Lead II - Software Engineering - AWS, Apache Spark (PySpark/Scala), Apache Kafka

* Industry: Global digital transformation solutions provider

* Salary: Best in Industry

* Experience: 5-8 years

* Location: Hyderabad

Job Summary

We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The role involves working with large-scale batch and real-time data processing systems, collaborating with cross-functional teams, and ensuring data reliability, security, and performance across the data lifecycle.

Key Responsibilities

ETL Pipeline Development & Optimization

• Design, develop, and maintain complex end-to-end ETL pipelines for large-scale data ingestion and processing.
• Optimize data pipelines for performance, scalability, fault tolerance, and reliability.

Big Data Processing

• Develop and optimize batch and real-time data processing solutions using Apache Spark (PySpark/Scala) and Apache Kafka.
• Ensure fault-tolerant, scalable, and high-performance data processing systems.

Cloud Infrastructure Development

• Build and manage scalable, cloud-native data infrastructure on AWS.
• Design resilient and cost-efficient data pipelines adaptable to varying data volume and formats.

Real-Time & Batch Data Integration

• Enable seamless ingestion and processing of real-time streaming and batch data sources (e.g., AWS MSK).
• Ensure consistency, data quality, and a unified view across multiple data sources and formats.

Data Analysis & Insights

• Partner with business teams and data scientists to understand data requirements.
• Perform in-depth data analysis to identify trends, patterns, and anomalies.
• Deliver high-quality datasets and present actionable insights to stakeholders.

CI/CD & Automation

• Implement and maintain CI/CD pipelines using Jenkins or similar tools.
• Automate testing, deployment, and monitoring to ensure smooth production releases.

Data Security & Compliance

• Collaborate with security teams to ensure compliance with organizational and regulatory standards (e.g., GDPR, HIPAA).
• Implement data governance practices ensuring data integrity, security, and traceability.

Troubleshooting & Performance Tuning

• Identify and resolve performance bottlenecks in data pipelines.
• Apply best practices for monitoring, tuning, and optimizing data ingestion and storage.

Collaboration & Cross-Functional Work

• Work closely with engineers, data scientists, product managers, and business stakeholders.
• Participate in agile ceremonies, sprint planning, and architectural discussions.

Skills & Qualifications

Mandatory (Must-Have) Skills

1. AWS Expertise

• Hands-on experience with AWS Big Data services such as EMR, Managed Apache Airflow, Glue, S3, DMS, MSK, and EC2.
• Strong understanding of cloud-native data architectures.

1. Big Data Technologies

• Proficiency in PySpark or Scala Spark and SQL for large-scale data transformation and analysis.
• Experience with Apache Spark and Apache Kafka in production environments.

1. Data Frameworks

• Strong knowledge of Spark DataFrames and Datasets.

1. ETL Pipeline Development

• Proven experience in building scalable and reliable ETL pipelines for both batch and real-time data processing.

1. Database Modeling & Data Warehousing

• Expertise in designing scalable data models for OLAP and OLTP systems.

1. Data Analysis & Insights

• Ability to perform complex data analysis and extract actionable business insights.
• Strong analytical and problem-solving skills with a data-driven mindset.

1. CI/CD & Automation

• Basic to intermediate experience with CI/CD pipelines using Jenkins or similar tools.
• Familiarity with automated testing and deployment workflows.

Good-to-Have (Preferred) Skills

• Knowledge of Java for data processing applications.
• Experience with NoSQL databases (e.g., DynamoDB, Cassandra, MongoDB).
• Familiarity with data governance frameworks and compliance tooling.
• Experience with monitoring and observability tools such as AWS CloudWatch, Splunk, or Dynatrace.
• Exposure to cost optimization strategies for large-scale cloud data platforms.

Skills: big data, scala spark, apache spark, ETL pipeline development

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Hyderabad

Note: If a candidate is a short joiner, based in Hyderabad, and fits within the approved budget, we will proceed with an offer

F2F Interview: 14th Feb 2026

3 days in office, Hybrid model.

JOB DETAILS:

* Job Title: Lead I - (Web Api, C# .Net, .Net Core, Aws (Mandatory)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 6 -9 years

* Location: Hyderabad

Job Description

Role Overview

We are looking for a highly skilled Senior .NET Developer who has strong experience in building scalable, high‑performance backend services using .NET Core and C#, with hands‑on expertise in AWS cloud services. The ideal candidate should be capable of working in an Agile environment, collaborating with cross‑functional teams, and contributing to both design and development. Experience with React and Datadog monitoring tools will be an added advantage.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using .NET Core and C#.
• Work with AWS services (Lambda, S3, ECS/EKS, API Gateway, RDS, etc.) to build cloud‑native applications.
• Collaborate with architects and senior engineers on solution design and implementation.
• Write clean, scalable, and well‑documented code.
• Use Postman to build and test RESTful APIs.
• Participate in code reviews and provide technical guidance to junior developers.
• Troubleshoot and optimize application performance.
• Work closely with QA, DevOps, and Product teams in an Agile setup.
• (Optional) Contribute to frontend development using React.
• (Optional) Use Datadog for monitoring, logging, and performance metrics.

Required Skills & Experience

• 6+ years of experience in backend development.
• Strong proficiency in C# and .NET Core.
• Experience building RESTful services and microservices.
• Hands‑on experience with AWS cloud platform.
• Solid understanding of API testing using Postman.
• Knowledge of relational databases (SQL Server, PostgreSQL, etc.).
• Strong problem‑solving and debugging skills.
• Experience working in Agile/Scrum teams.

Good to Have

• Experience with React for frontend development.
• Exposure to Datadog for monitoring and logging.
• Knowledge of CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline, etc.).
• Containerization experience (Docker, Kubernetes).

Soft Skills

• Strong communication and collaboration abilities.
• Ability to work in a fast‑paced environment.
• Ownership mindset with a focus on delivering high‑quality solutions.

Skills

.NET Core, C#, AWS, Postman

Notice period - 0 to 15 days only

Location: Hyderabad

Virtual Interview: 7th Feb 2026

First round will be Virtual

2nd round will be F2F

JOB DETAILS:

Job Role: Lead I - .Net Developer - .NET, Azure, Software Engineering

Industry: Global digital transformation solutions provider

Work Mode: Hybrid

Salary: Best in Industry

Experience: 6-8 years

Location: Hyderabad 

Job Description:

• Experience in Microsoft Web development technologies such as Web API, SOAP XML 

• C#/.NET .Netcore and ASP.NET Web application experience Cloud based development experience in AWS or Azure

• Knowledge of cloud architecture and technologies

• Support/Incident management experience in a 24/7 environment

• SQL Server and SSIS experience

• DevOps experience of Github and Jenkins CI/CD pipelines or similar

• Windows Server 2016/2019+ and SQL Server 2019+ experience

• Experience of the full software development lifecycle

• You will write clean, scalable code, with a view towards design patterns and security best practices

• Understanding of Agile methodologies working within the SCRUM framework AWS knowledge

Must-Haves

C#/.NET/.NET Core (experienced), ASP.NET Web application (experienced), SQL Server/SSIS (experienced), DevOps (Github/Jenkins CI/CD), Cloud architecture (AWS or Azure)

.NET (Senior level), Azure (Very good knowledge), Stakeholder Management (Good)

Mandatory skills: Net core with Azure or AWS experience

Notice period - 0 to 15 days only

Location: Hyderabad

Virtual Drive - 17th Jan

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

We are seeking a motivated Data Analyst to support business operations by analyzing data, preparing reports, and delivering meaningful insights. The ideal candidate should be comfortable working with data, identifying patterns, and presenting findings in a clear and actionable way.

Key Responsibilities:

• Collect, clean, and organize data from internal and external sources
• Analyze large datasets to identify trends, patterns, and opportunities
• Prepare regular and ad-hoc reports for business stakeholders
• Create dashboards and visualizations using tools like Power BI or Tableau
• Work closely with cross-functional teams to understand data requirements
• Ensure data accuracy, consistency, and quality across reports
• Document data processes and analysis methods

Required Skills: CI/CD Pipeline, Kubernetes, SQL Database, Excellent Communication & Stakeholder Management, Python

Criteria:

Looking for 15days and max 30 days of notice period candidates.

looking candidates from Hyderabad location only

Looking candidates from EPAM company only 

1.4+ years of software development experience

2. Strong experience with Kubernetes, Docker, and CI/CD pipelines in cloud-native environments.

3. Hands-on with NATS for event-driven architecture and streaming.

4. Skilled in microservices, RESTful APIs, and containerized app performance optimization.

5. Strong in problem-solving, team collaboration, clean code practices, and continuous learning.

6.  Proficient in Python (Flask) for building scalable applications and APIs.

7. Focus: Java, Python, Kubernetes, Cloud-native development

8. SQL database 

Description

Position Overview

We are seeking a skilled Developer to join our engineering team. The ideal candidate will have strong expertise in Java and Python ecosystems, with hands-on experience in modern web technologies, messaging systems, and cloud-native development using Kubernetes.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java and Spring Boot framework
• Build robust web services and APIs using Python and Flask framework
• Implement event-driven architectures using NATS messaging server
• Deploy, manage, and optimize applications in Kubernetes environments
• Develop microservices following best practices and design patterns
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Write clean, maintainable code with comprehensive documentation
• Participate in code reviews and contribute to technical architecture decisions
• Troubleshoot and optimize application performance in containerized environments
• Implement CI/CD pipelines and follow DevOps best practices
•  

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)

Skills & Competencies

• Skills Java (Spring Boot, Spring Cloud, Spring Security) 
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking
• Strong communication and collaboration
• Self-motivated with ability to work independently
• Attention to detail and code quality
• Continuous learning mindset
• Team player with mentoring capabilities

Job Description – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

1、Job Responsibilities:

Backend Development (.NET)

• Design and implement ASP.NET Core WebAPIs
• Design and implement background jobs using Azure Function Apps
• Optimize performance for long-running operations, ensuring high concurrency and system stability.
• Develop efficient and scalable task scheduling solutions to execute periodic tasks

Frontend Development (React)

• Build high-performance, maintainable React applications and optimize component rendering.
• Continuously improving front-end performance using best practices
• Deployment & Operations
• Deploy React applications on Azure platforms (Azure Web Apps), ensuring smooth and reliable delivery.
• Collaborate with DevOps teams to enhance CI/CD pipelines and improve deployment efficiency.

2、Job Requirements:

Tech Stack:

• Backend: ASP.NET Core Web API, C#
• Frontend: React, JavaScript/TypeScript, Redux or other state management libraries
• Azure: Function Apps, Web Apps, Logic Apps
• Database: Cosmos DB, SQL Server

Strong knowledge of asynchronous programming, performance optimization, and task scheduling​

• Proficiency in React performance optimization techniques, understanding of virtual DOM and component lifecycle.​
• Experience with cloud deployment, preferably Azure App Service or Azure Static Web Apps.​
• Familiarity with Git and CI/CD workflows, with strong coding standards.

3、Project Background:

Mission: Transform Microsoft Cloud customers into fans by delivering exceptional support and engagement.​

• Scope:
• Customer reliability engineering
• Advanced cloud engineering and supportability
• Business management and operations
• Product and platform orchestration​
• Activities:
• Technical skilling programs
• AI strategy for customer experience
• Handling escalations and service reliability issues​

4、Project Highlights:

React Js, ASP.NET Core Web API; Azure Function Apps, Cosmos DB

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Senior Software Engineer

Location: Hyderabad, India

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

What You’ll Do:

Build, Innovate, and Own:

• Design, develop, and maintain high-performance microservices in a modern .NET/C# environment.
• Architect and optimize data pipelines and storage solutions that power our AI-driven products.
• Collaborate closely with AI and data teams to bring machine learning models into production systems.
• Build integrations with external services and APIs to enable scalable, interoperable solutions.
• Ensure robust security, scalability, and observability across distributed systems.
• Stay ahead of the curve — evaluating emerging technologies and contributing to architectural decisions for our next-gen platform.

Responsibilities will include but are not limited to:

• Provide technical guidance and code reviews that raise the bar for quality and performance.
• Help create a growth-minded engineering culture that encourages experimentation, learning, and accountability.

What You’ll Need:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 8+ years of professional experience, including 5+ years designing and maintaining scalable backend systems using C#/.NET and microservices architecture.
• Strong experience with SQL and NoSQL data stores.
• Solid hands-on knowledge of cloud platforms (AWS, GCP, or Azure).
• Proven ability to design for performance, reliability, and security in data-intensive systems.
• Excellent communication skills and ability to work effectively in a global, cross-functional environment.

Set Yourself Apart With:

• Startup experience - specifically in building product from 0-1
• Exposure to AI/ML-powered systems, data engineering, or large-scale data processing.
• Experience in healthcare or fintech domains.
• Familiarity with modern DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navita

Job Summary:

We are looking for technically skilled and customer-oriented SME Voice – Technical Support Associates to provide voice-based support to enterprise clients. The role involves real-time troubleshooting of complex issues across servers, networks, cloud platforms (Azure), databases, and more. Strong communication and problem-solving skills are essential.

Key Responsibilities:

• Provide technical voice support to B2B (enterprise) customers.
• Troubleshoot and resolve issues related to:
• SQL, DNS, VPN, Server Support (Windows/Linux)
• Networking (TCP/IP, routing, firewalls)
• Cloud Services – especially Microsoft Azure
• Application and system-level issues
• Assist with technical configurations and product usage.
• Accurately document cases and escalate unresolved issues.
• Ensure timely resolution while meeting SLAs and quality standards.

Required Skills & Qualifications:

• 2.5 to 5 years in technical support (voice-based, B2B preferred)

 Proficiency in:

• SQL, DNS, VPN, Server Support
• Networking, Microsoft Azure
• Basic understanding of coding/scripting
• Strong troubleshooting and communication skills
• Ability to work in a 24x7 rotational shift environment

Job Summary:

Technical Support Associates

We are looking for technically skilled and customer-oriented SME Voice – Technical Support Associates to provide voice-based support to enterprise clients. The role involves real-time troubleshooting of complex issues across servers, networks, cloud platforms (Azure), databases, and more. Strong communication and problem-solving skills are essential.

Key Responsibilities:

- Provide technical voice support to B2B (enterprise) customers.

- Troubleshoot and resolve issues related to:

- SQL, DNS, VPN, Server Support (Windows/Linux)

- Networking (TCP/IP, routing, firewalls)

- Cloud Services – especially Microsoft Azure

- Application and system-level issues

- Assist with technical configurations and product usage.

- Accurately document cases and escalate unresolved issues.

- Ensure timely resolution while meeting SLAs and quality standards.

Required Skills & Qualifications:

- 2.5 to 5 years in technical support (voice-based, B2B preferred)

 Proficiency in:

- SQL, DNS, VPN, Server Support

- Networking, Microsoft Azure

- Basic understanding of coding/scripting

- Strong troubleshooting and communication skills

- Ability to work in a 24x7 rotational shift environment

Job Title: Mid-Level .NET Developer (Agile/SCRUM)

Location: Mohali, Bangalore, Pune, Navi Mumbai, Chennai, Hyderabad, Panchkula, Gurugram (Delhi NCR), Dehradun

Night Shift from 6:30 pm to 3:30 am IST

Experience: 5+ Years

Job Summary:

We are seeking a proactive and detail-oriented Mid-Level .NET Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining high-quality applications using Microsoft technologies with a strong emphasis on .NET Core, C#, Web API, and modern front-end frameworks. You will collaborate with cross-functional teams in an Agile/SCRUM environment and participate in the full software development lifecycle—from requirements gathering to deployment—while ensuring adherence to best coding and delivery practices.

Key Responsibilities:

• Design, develop, and maintain applications using C#, .NET, .NET Core, MVC, and databases such as SQL Server, PostgreSQL, and MongoDB.
• Create responsive and interactive user interfaces using JavaScript, TypeScript, Angular, HTML, and CSS.
• Develop and integrate RESTful APIs for multi-tier, distributed systems.
• Participate actively in Agile/SCRUM ceremonies, including sprint planning, daily stand-ups, and retrospectives.
• Write clean, efficient, and maintainable code following industry best practices.
• Conduct code reviews to ensure high-quality and consistent deliverables.
• Assist in configuring and maintaining CI/CD pipelines (Jenkins or similar tools).
• Troubleshoot, debug, and resolve application issues effectively.
• Collaborate with QA and product teams to validate requirements and ensure smooth delivery.
• Support release planning and deployment activities.

Required Skills & Qualifications:

• 4–6 years of professional experience in .NET development.
• Strong proficiency in C#, .NET Core, MVC, and relational databases such as SQL Server.
• Working knowledge of NoSQL databases like MongoDB.
• Solid understanding of JavaScript/TypeScript and the Angular framework.
• Experience in developing and integrating RESTful APIs.
• Familiarity with Agile/SCRUM methodologies.
• Basic knowledge of CI/CD pipelines and Git version control.
• Hands-on experience with AWS cloud services.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration skills.

Preferred / Nice-to-Have Skills:

• Advanced experience with AWS services.
• Knowledge of Kubernetes or other container orchestration platforms.
• Familiarity with IIS web server configuration and management.
• Experience in the healthcare domain.
• Exposure to AI-assisted code development tools (e.g., GitHub Copilot, ChatGPT).
• Experience with application security and code quality tools such as Snyk or SonarQube.
• Strong understanding of SOLID principles and clean architecture patterns.

Technical Proficiencies:

• ASP.NET Core, ASP.NET MVC
• C#, Entity Framework, Razor Pages
• SQL Server, MongoDB
• REST API, jQuery, AJAX
• HTML, CSS, JavaScript, TypeScript, Angular
• Azure Services, Azure Functions, AWS
• Visual Studio
• CI/CD, Git

Key Responsibilities

• Design, develop, and maintain scalable microservices and RESTful APIs using Python (Flask, FastAPI, or Django).
• Architect data models for SQL and NoSQL databases (PostgreSQL, ClickHouse, MongoDB, DynamoDB) to optimize performance and reliability.
• Implement efficient and secure data access layers, caching, and indexing strategies.
• Collaborate closely with product and frontend teams to deliver seamless user experiences.
• Build responsive UI components using HTML, CSS, JavaScript, and frameworks like React or Angular.
• Ensure system reliability, observability, and fault tolerance across services.
• Lead code reviews, mentor junior engineers, and promote engineering best practices.
• Contribute to DevOps and CI/CD workflows for smooth deployments and testing automation.

Required Skills & Experience

• 10+ years of professional software development experience.
• Strong proficiency in Python, with deep understanding of OOP, asynchronous programming, and performance optimization.
• Proven expertise in building FAST API based microservices architectures.
• Solid understanding of SQL and NoSQL data modeling, query optimization, and schema design.
• Excellent hands on proficiency in frontend proficiency with HTML, CSS, JavaScript, and a modern framework (React, Angular, or Vue).
• Experience working with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Familiarity with distributed systems, event-driven architectures, and messaging queues (Kafka, RabbitMQ).
• Excellent problem-solving, communication, and system design skills.