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Strong Senior Developer – PL/SQL, SQL & ETL (Microsoft SSIS) Profile

2

Mandatory (Experience 1) – Must have minimum 5+ years of strong hands-on experience in PL/SQL and SQL development, including complex stored procedures, functions, queries, joins, data manipulation, and query/performance optimization.

3

Mandatory (Experience 2) – Must have strong hands-on experience in ETL development using Microsoft SSIS, including building, maintaining, optimizing, and troubleshooting SSIS packages for large-volume data movement and transformation.

4

Mandatory (Experience 3) – Must have solid experience working with Data Warehousing concepts and architectures, including data models, fact/dimension structures, ETL data flows, and enterprise reporting/data warehouse environments.

5

Mandatory (Experience 4) – Must have experience managing batch jobs, scheduling, and data pipelines, ensuring timely and reliable execution of enterprise ETL workflows.

6

Mandatory (Experience 5) – Must have hands-on experience in production support for SSIS/ETL and data warehouse jobs, including monitoring job execution, troubleshooting failures, performing root cause analysis, and implementing preventive fixes.

7

Mandatory (Experience 6) – Must have experience with data quality, validation, and troubleshooting, including identifying and resolving data discrepancies/issues affecting downstream reports, dashboards, and analytics.

8

Mandatory (Experience 7) – Must have experience with unit, integration, and regression testing of SQL, PL/SQL, and ETL components, along with strong documentation of technical designs, data mappings, data flows, and deployment processes.

9

Mandatory (Location) – Must be willing to work in a hybrid model from a city where Cognizant has an office.

10

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2–4 weeks.

Role Summary:

We are looking for an experienced Application Production Support Engineer with strong expertise in application support, incident and change management, Linux/Unix, SQL, Oracle, and monitoring tools. The candidate will be responsible for maintaining application availability, troubleshooting production issues, monitoring system performance, and coordinating with technical and business stakeholders.

Key Responsibilities

• Provide L2/L3 production support for business-critical applications.
• Monitor applications and infrastructure using Splunk, Grafana, and AppDynamics.
• Analyze and resolve production incidents within defined SLAs.
• Perform incident, problem, change, and service request management.
• Troubleshoot application issues across Linux/Unix, SQL, and Oracle environments.
• Perform SQL queries and database-level troubleshooting to identify application issues.
• Analyze application logs, alerts, and performance metrics to identify root causes.
• Coordinate with development, database, infrastructure, and other technical teams for issue resolution.
• Participate in Root Cause Analysis (RCA) and implement corrective/preventive actions.
• Support application deployments, releases, and production changes.
• Ensure effective communication with business users and stakeholders during critical incidents.
• Identify recurring issues and drive problem management and service improvement initiatives.
• Maintain support documentation, knowledge articles, and operational procedures.
• Participate in on-call/shift support as required.

Mandatory Skills

• 6+ years of experience in Application Production Support.
• Strong experience in Incident & Change Management.
• Hands-on experience with Linux/Unix.
• Good knowledge of SQL and Oracle database support.
• Experience with monitoring and observability tools:
• Splunk
• Grafana
• AppDynamics
• Strong troubleshooting and problem-solving skills.
• Good understanding of application monitoring, logs, alerts, and performance analysis.
• Strong stakeholder management and communication skills

About the role

Join our client as a Senior Consultant specializing in Infor GHR modules, focusing on Process Automation and Configuration Console. Lead technical support, enhancements, and integrations within complex enterprise HCM environments.

Key responsibilities

• Maintain and support Infor GHR operations, including incident management, bug fixes, and production support.
• Design, develop, and maintain integrations between Infor CloudSuite and external or legacy systems using Infor ION and APIs.
• Develop and manage automated workflows and business rules with Infor Process Automation tools.
• Configure and support runtime environments via Infor Configuration Console and assist with tenant management and patching.
• Collaborate with business stakeholders and provide Tier 2/3 technical support, troubleshooting system issues and supporting upgrades.

Required skills and experience

• 7+ years of experience working with Infor GHR, IPA, and Configuration Console in enterprise HCM systems.
• Strong integration skills with Infor ION, REST/SOAP APIs, and expertise in data mapping and Business Object Documents.
• Technical proficiency in SQL, JavaScript, XML/XSLT, and interface design.
• Proven problem-solving, analytical abilities, and ability to translate functional requirements into technical solutions.
• Experience with configuration, testing, release, and upgrade activities in multi-tenant environments.

Nice to have

• Infor Certifications related to GHR and Process Automation.
• Experience with Infor Lawson migrations or similar HCM platform transitions.
• Domain knowledge in Healthcare, Public Sector, or Financial Services.

Level: Senior Consultant

Serves as a Subject Matter Expert (SME) for Workforce Software (WFS/ADP Workforce Suite), leading implementation and support engagements across the Workforce Time & Attendance (WT&A) platform. Provides end-to-end expertise in configuration, integration development, troubleshooting, and production support. Partners with stakeholders to translate business requirements into scalable solutions, drive successful project delivery, and resolve complex issues across the WT&A ecosystem through a combination of technical expertise and client-focused consulting.

Work you'll do :

• Serve as SME for WorkForce Software (WFS/ADP Workforce Suite), advising clients on best-practice configuration and design decisions
• Configure and troubleshoot complex business rules: Policy Profiles, Pay Codes, Accruals, Premiums, Exceptions, Basic Scheduling, and Roles
• Design, build, and debug JavaScript integration scripts across distributed libraries (Time Entry Import, HR Import, Exports, Payroll interfaces)
• Translate client business requirements into scalable WT&A configurations
• Write and maintain Oracle SQL queries for data management, validation, and remediation
• Configure and support SSO/SAML integrations (e.g., Azure Entra ID)
• Diagnose and resolve production issues, job log errors, mapping failures, API misuse, integration breaks
• Lead or support client workstreams across the delivery lifecycle: requirements gathering, configuration, testing, deployment, and go-live support
• Coordinate with cross-functional teams (client IT, other WFS consultants, offshore/onshore delivery teams) to drive workstream progress
• Prepare and deliver client-facing materials, status decks, design documents, functional specs
• Mentor junior consultants on WFS configuration and scripting standards
• Manage stakeholder relationships and communicate technical issues/solutions in business terms

Qualifications :

Required Skills, Experience & Certifications :

• Workforce Software (WFS) Configuration/Integration Specialist certification or higher is preferred.
• 7 to 12 years of experience as a techno-functional consultant in Workforce Software Time & Attendance solutions.
• Strong hands-on experience with SQL, JavaScript, and Workforce Software Formula Language.
• PT102, PT103, or equivalent certification is preferred.
• Experience working with Workforce Software products, including: Time & Attendance, Absence Compliance Tracker, Advanced Scheduler, and Workforce Analytics.
• Proven experience configuring complex business rules, including Policy Profiles, Pay Codes, Accruals, Premiums, Exceptions, Basic Scheduling, and Roles.
• Experience developing scheduled scripts, LD imports, generic and incremental exports, and supporting End-of-Period Processing (EOPP).
• Exposure to consulting engagements, Workforce Analytics, and interfaces/integrations is an added advantage.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.
• Strong interpersonal and stakeholder management skills.
• Ability to lead teams and collaborate effectively across all organizational levels.
• Ability to thrive in a fast-paced environment and manage ambiguity.
• Experience in HR Service Delivery, HR Transformation, or HR Shared Services is preferred

CAP-190 : Senior Data Analyst

📍Location : Bangalore / Hyderabad / Chennai / Pune / NCR

🧠Experience : 7 - 15 Years

🆔Job Code : CAP-190

🏢Work Type : Hybrid - 3 Days in a Week

📨Application Link : https://drive.google.com/drive/folders/1bApWyMvoFHvI6krgw9CPbGZHaqYU0kSZ?usp=sharing

Your Experience at a Glance

We’re hiring a Senior Data Analyst for our client (Code Name:CAP) - CAP is a global consulting firm specializing in digital transformation and technology solutions for the financial services industry. As a Data Analyst / Senior Data Analyst at CAP, you will play a pivotal role in delivering actionable insights and supporting data migration initiatives within the financial services domain. You will collaborate with cross-functional teams to define data requirements, ensure data quality, and drive strategic solutions. This senior-level position requires strong technical expertise, stakeholder management, and a proactive approach to delivering change in a dynamic environment.

About the Client (CODE: CAP )

CAP operates at the forefront of the financial services industry, providing consulting, technology, and digital transformation solutions to leading organizations worldwide. With a focus on innovation, CAP empowers clients to navigate complex regulatory landscapes, optimize operations, and drive business growth. The company fosters a collaborative and agile culture, encouraging continuous learning and excellence.

Key Responsibilitie

● Define and obtain source data required to deliver insights and use cases.

● Determine data mapping and join multiple data sets across various sources.

● Develop methods to highlight and report data inconsistencies for user review.

● Propose and assist with suitable data migration sets for stakeholders.

● Support teams in processing data migration sets and coordinating migration activities.

● Plan, track, and coordinate the data migration team and migration run-book.

● Collaborate with stakeholders to avoid negative customer and business impacts.

● Ensure robust communication and escalation mechanisms across project portfolios.

● Implement strategic solutions and avoid short-term workarounds.

● Maintain strong control and compliance standards in data handling.

Required Skills

● Minimum 7+ years of experience as a Data Analyst, preferably in financial services.

● Strong expertise in Pyspark, Python, and SQL.

● Experience with big data programs and data models in banking or financial markets.

● Ability to write SQL queries and navigate databases such as Hive, CMD, Putty, and Note++.

● Excellent analytical skills and commercial acumen.

● Strong verbal and written communication skills.

● Proven ability to manage multiple priorities and deliver within tight deadlines.

● Business analysis skills, including defining and understanding requirements.

● Familiarity with SDLC, Agile processes, and a bias towards TDD.

● Attention to detail and a proactive, problem-solving mindset.

Nice to Have

● Knowledge and experience in Data Quality & Governance.

● Working experience with Spark Scala or Java for Spark.

● Proven track record of managing small, delivery-focused data teams (for senior roles).

● Experience with market data vendors and domains such as Party/Client, Trade, Settlements, Payments, Instrument and Pricing, Market and/or Credit Risk.

Why Join CAP (Code Name)

Join CAP to work on impactful data initiatives within the financial services sector, tackling complex technical challenges and driving meaningful business outcomes. You'll collaborate with talented professionals in a dynamic, agile environment that values

innovation and continuous improvement. CAP offers opportunities for professional growth, skill development, and the chance to contribute to high-visibility projects that shape the future of financial technology.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Apply here-

https://drive.google.com/drive/folders/1bApWyMvoFHvI6krgw9CPbGZHaqYU0kSZ?usp=sharing

Location – Hyderabad (Hybrid)

Work Experience – 5 to 7 years

CTC – upto 20 LPA

Roles & Responsibilities:

· We are looking for a Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines.

· Integration of data from multiple sources or vendors to provide the holistic insights from data.

· You are expected to build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms etc.

· Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues.

· Should have experience in client interaction.

· Experience in mentoring juniors and providing required guidance.

Required Technical Skills

· Extensive hands on experience in Python, Pyspark, SQL, Dataiku.

· Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.

· Working knowledge in Databricks, Redshift, ADF etc.

· Hands-on experience in cloud services like Azure, AWS- S3, Glue, Lambda, CloudWatch, Athena.

· Sound knowledge in end-to-end Data management, Data ops, quality and data governance.

· Familiar with SFDC, Waterfall/ Agile methodology.

· Strong domain knowledge in Pharma domain/ life sciences commercial data operations.

Qualifications

· Bachelor’s or master’s Engineering/ MCA or equivalent degree.

· 5-7 years of relevant industry experience as Data Engineer.

· Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.

· High motivation, good work ethic, maturity, self-organized and personal initiative.

· Ability to work collaboratively and providing the support to the team.

· Excellent written and verbal communication skills.

· Strong analytical and problem-solving skills. 

Strong hands-on experience with Adobe Workfront.

Expertise in Workfront architecture and enterprise implementations.

Advanced knowledge of:

• Workfront configuration
• Custom Forms & Custom Fields
• Workflows & Approval Processes
• Templates
• Reports & Dashboards
• Portfolios & Programs
• User/Role/Security Management

Strong experience with Workfront Fusion.

Experience designing API-based integrations.

Strong knowledge of REST APIs, JSON, HTTP, webhooks, and data mapping.

Experience with enterprise integration platforms/middleware.

Understanding of automation, scalability, security, and governance.

Ability to create high-level and low-level solution designs.

JD:

We are looking for a skilled Axiom Technical Analyst / Developer to support and enhance regulatory reporting platforms.

The ideal candidate will have strong hands-on experience with Axiom, solid SQL skills, and a good understanding of ETL processes. Exposure to Python is a plus.

This role involves close collaboration with Finance, and Data Engineering teams to ensure accurate, timely, and compliant data reporting.

Greetings From NAM Info Pvt Ltd

Job Title: STIBO STEP / Master Data Management Consultant

Experience: 6–8 Years

Job Summary

We are looking for an experienced STIBO STEP / Master Data Management (MDM) Consultant with strong hands-on experience in STIBO STEP 11.x. The candidate should be capable of designing and configuring MDM solutions, developing integrations, managing data quality, and working directly with customer stakeholders.

Key Responsibilities

• Understand business requirements and translate them into STIBO STEP configurations and technical solutions.
• Design and configure data models, attributes, hierarchies, classifications, relationships, and workflows.
• Configure business validation rules, lifecycle states, roles, permissions, and STEP UI components.
• Develop and manage imports, exports, publications, and syndications.
• Build integrations between STIBO STEP and systems such as SAP, Oracle ERP, eCommerce, PLM, and DAM.
• Work with REST/SOAP APIs, file-based interfaces, ETL tools, and message queues.
• Implement data quality, data governance, stewardship, match/merge, and reference data management processes.
• Troubleshoot performance and integration issues and perform root cause analysis.
• Support environment promotion, configuration transport, versioning, CI/CD, and deployment activities.
• Prepare technical/functional documentation, release notes, and training materials.
• Conduct customer workshops, present solutions, and communicate project status, risks, and issues.

Required Skills

• 6–8 years of experience in STIBO Master Data Management (MDM).
• Strong hands-on experience with STIBO STEP 11.x.
• Good knowledge of STEP data modeling, workflows, business rules, imports/exports, publications, and syndication.
• Programming/scripting knowledge in Java or JVM-based technologies.
• Strong knowledge of SQL, XML, XSD, XPath, and XSLT.
• Experience with REST and SOAP APIs.
• Experience integrating STIBO with enterprise systems such as SAP, Oracle ERP, eCommerce, PLM, or DAM.
• Strong experience with Oracle, MS SQL, or PostgreSQL.
• Good understanding of data quality and MDM governance.
• Strong communication and customer-facing skills.

Good to Have

• Experience with Informatica, Talend, or similar ETL tools.
• Knowledge of message queues and event-driven integrations.
• Experience with CI/CD and DevOps practices.
• Experience in performance optimization, security, and audit compliance.
• Ability to work independently and drive tasks to completion.

What role will you play? 

As a Full Stack Engineer, you will play a pivotal role in our development team, bridging the gap between the visual elements and the server-side infrastructure. You will be instrumental in developing full-fledged, scalable applications by combining the art of design with the science of programming. With your expertise in both front-end and back-end technologies, you will ensure the entire stack is designed and built for speed and functionality.  

Your day to day will involve designing and developing dynamic, high-quality web applications, leveraging the Node.js and python for the back end services and React/Angular for the front end. Close collaboration with UI/UX designers will be essential, allowing you to bring web designs to life while ensuring high performance and responsiveness. Additionally, you will actively participate in coding, debugging, and testing to deliver reliable solutions whilst also working closely with other developers, designers, and product managers, fostering a collaborative environment to meet project goals and deadlines effectively. 

What you offer 

• Proficiency in Typescript and a good understanding of React  
• Solid experience with the Node.js, including the ability to develop RESTful APIs 
• Experience with containerisation of service using Docker 
• Knowledge of modern authorisation mechanisms, such as JSON Web Token (JWT)  
• Familiarity with SQL databases, such as PostgreSQL 
• Experience with Kafka or other event driven tools and tech 
• Nice to have some experience integrating with LLMs through open AI, Gemini etc. 
• Nice to have exposure to AI tooling – Claude, Copilot, Cursor etc. 
• AWS experience is a nice to have 

RPA.

Must Have:

• More than 8 years of overall experience in Robotic Process Automation and ML technologies. 

• 4-5 years of direct experience in developing with UiPath/Automation Anywhere (A360), Python

• Strong Knowledge in SQL to write queries (Insert, Delete, Select , Update & Joins) and have knowledge on Stored Procedure to Execute or Modify.

• Experience on Custom / Build in Queues like Workload Management Queues.

• Certifications with other RPA software tools (e.g., Automation Anywhere, UiPath etc.) preferred

Nice to Have Skills:

Experience with business process improvement, including process mapping and design-based thinking preferred

Bachelor’s degree in computer science experience.

Design, develop, test, and optimize solutions to automate processes using automation technology including AA/UiPath.

Designs automated solutions in accordance with enterprise leading practices and design principles.

Assists in the collection and documentation of solution design requirements.

Builds and test automation processes including unit and integration testing.

Analyzes and resolves automation software issues where required.

Participates in peer review of solution designs

TECHNICAL SKILLS:

Automation Tools : UiPath, Automation Anywhere A360

Reporting Tools : SAP BO 4.2, Tableau

Databases : MS SQL Server 2010/2008, Teradata, Stored Procedures

Languages : .Net, XML, VB Scripting, Python

Platforms : Unix, Windows 10/7/XP

SDLC Methodology : Agile, Waterfall

Other Tools : MS Office, XML Editor, Jira, SharePoint, ALM, Service Now, Rally, Visual studio

Job Title: Senior Data Tester

Location : Hyderabad

Mode: Hybrid

Notice Period: Immediate Joiner

Key Responsibilities:

• 8+ years of experience in ETL/data testing.
• Design, implement, and execute data validation test plans and test cases.
• Understanding of data modelling and data governance principles.
• Experience with test automation frameworks and scripting (e.g., Python, Shell)Conduct thorough ETL testing, including data extraction, transformation, and loading.
• Validate data integrity across various sources and destinations (data lakes, warehouses, etc.)
• Perform data reconciliation and analysis to identify inconsistencies or data quality issues.
• Develop and maintain automated data testing frameworks using SQL or scripting languages.
• Strong experience with SQL and writing complex queries for data validation.
• Knowledge of data warehouse concepts and testing tools. Experience with ETL tools (e.g., Informatica, Talend, SSIS, etc.)
• Familiarity with cloud platforms (Azure, GCP) and modern data tools (e.g., Snowflake, Big Query).
• GCP is mandatory. Experience in Agile development and working within cross-functional teams.
• Exposure to BI tools (Power BI, Tableau, Looker)
• Familiarity with CI/CD pipelines and version control systems like Git ISTQB or equivalent testing certifications.

• Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time data ingestion and transformation.
• Develop and optimize data lake and data warehouse architectures (e.g., Snowflake, BigQuery, Redshift).
• Work with cloud platforms GCP, Azure to manage data infrastructure.
• GCP as mandatory skills
• Collaborate with analytics and product teams to understand data needs and deliver solutions.
• Ensure data quality, reliability, security, and compliance across all data systems.
• Mentor junior data engineers and contribute to best practices and code reviews.
• Monitor and troubleshoot data pipeline performance and resolve data-related issues.
• Automate data validation, monitoring, and alerting processes.
• 8+ years of experience in data engineering or software engineering with a data focus.
• Proficient in SQL and at least one programming language (e.g., Python, Scala, Java).
• Experience with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).
• Strong understanding of data modeling, data lakes, and ETL/ELT design.
• Hands-on experience with orchestration tools like Airflow, dbt, or similar.
• Solid experience with cloud data platforms (AWS/GCP/Azure).
• Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git).
• Experience working in a DevOps or DataOps environment.
• Knowledge of data governance, lineage, and cataloging tools (e.g., Collibra, Alation).
• Familiarity with streaming technologies (Kafka, Spark Streaming, Flink).
• Experience supporting machine learning workflows and data science initiatives.

Job Description:

Position: Senior Data Engineer

Location: Chennai / Pune / Bangalore / Hyderabad

Working Type: WFO

Shift: UK Shift (2:00 – 11:00 PM)

Experience : 7+ years overall

Interviews: Assessment || 2 Interview rounds.

Notice Period: Immediate Joiner

Key Responsibilities

Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.

Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.)

Manage large-volume ingestion and backfill operations

Implement Bronze to Silver transformation pipelines

Develop incremental load and CDC logic

Optimize Lakehouse performance and storage patterns

Implement monitoring (record counts, load duration, failure tracking)

Support Dev/Test/Prod promotion processes

Required Qualifications

7+ years of data engineering experience

Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory

Strong experience with Fivetran or similar ELT tools

Experience handling high-volume datasets (hundreds of millions of records)

Proficiency in SQL, Python, and data modeling concepts

Strong understanding of Medallion architecture.

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

This role will be permanent with NAM info and deploy to client location Hyderabad & Pune.

Work Mode: WORK FROM OFFICE

Role Descriptions:

• Perform detailed data analysis and support business decision-making
• Gather and document business requirements and translate them into technical specifications
• Work closely with stakeholders to define data needs and reporting requirements
• Create user stories, functional specifications, and support UAT activities
• Ensure alignment between business objectives and data solutions

Required Skills:

• Strong expertise in SQL and data querying
• Proven experience in data analysis, requirement gathering, and stakeholder management
• Ability to translate business requirements into technical solutions and user stories
• Good understanding of data models, reporting, and analytics concepts

Skills: Business Analysis~ORACLE SQL

Locations: ~HYDERABAD~PUNE~

Desire candidate

• Candidate should have valid PF.

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Description:

Analytical Engineer with strong Data Analyst and Data Modelling expertise required to translate business requirements into structured, analytics-ready datasets. Must have experience in Data Vault 2.0 / dimensional modelling and advanced SQL for data transformation and analysis. Role focuses on data profiling, validation, and delivery of trusted data for reporting and analytics. Experience with Azure/Databricks and enterprise data environments preferred. Strong stakeholder engagement and ability to bridge business and technical data requirements essential.

Must Have Skills

• Data Analysis
• Data Governance
• Data Modeling tool

Nice to Have Skills

• Business writing skills
• Governance, Risk and Controls
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge

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.

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.

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.

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.

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.