50+ SQL Jobs in India

Senior-level .NET Developer

Experience – 5–8 years

Location – Remote

Core Requirements -

• Proficiency in modern C# and .NET SDK, including async/await and LINQ.
• Familiarity with .NET 8 and modern .NET development.
• Experience with Azure App Service, Azure Functions, and Azure DevOps.
• Strong experience with .NET Core and cross-platform application development.
• Understanding of microservices, containerization, and serverless computing patterns.
• Familiarity with integrating AI/ML technologies into .NET applications. Claude Code preferred.
• Understanding of DevOps practices and tools, including Azure DevOps.
• React 18+: Experience with concurrent rendering, Suspense, and server components if using Next.js.
• TypeScript: Strong experience building typed React applications.
• State Management: Experience with Redux Toolkit, Zustand, or React Query for server state.
• UI Frameworks: Experience with Material UI (MUI), Chakra UI, or Tailwind CSS.
• Routing: Experience with React Router v7 or Next.js routing if SSR/SSG is used.
• API Integration: Experience with Fetch API, Axios, or React Query for consuming .NET APIs.
• Form Handling: Experience with React Hook Form or Formik, including validation using Yup/Zod.
• Testing: Experience with Jest, React Testing Library, and/or Cypress for E2E testing.
• Build Tools: Experience with Vite, Webpack 6, or Turbopack.
• Performance Optimization: Experience with code splitting, lazy loading, and memoization.
• CORS: Understanding of CORS configuration in ASP.NET Core for React clients.

Nice to Have -

• Experience in Case Management, Legal, Financial, or Mortgage domains.
• Legacy development experience, as the role will involve some legacy work while transitioning to newer development.

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.

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

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 Responsibilities

● 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.

Job Title : Senior Data Engineer – Databricks

Experience : 14 to 20 Years

Location : HSR Layout, Bangalore

Work Mode : Hybrid – 3 Days WFO

Shift : 11:30 AM – 07:30 PM IST

Positions : 2

Notice Period : Immediate Joiners Only

Interview : 1 Technical Round + 2 Client Rounds

Role Overview :

We are looking for a Senior Data Engineer to build and lead enterprise-scale data platforms for a Switzerland-based commodity client.

The role requires a strong hands-on Data Engineering professional with expertise in Databricks, PySpark, Python, SQL, and AWS, along with technical leadership and stakeholder management experience.

Must-Have Skills :

• 14 to 20 years of Data Engineering experience
• Databricks & Apache Spark / PySpark
• Python & SQL
• AWS Cloud
• Lakehouse Architecture
• ETL / ELT & Distributed Data Processing
• Batch & Streaming Pipelines
• Data Pipeline Optimization & Data Modeling
• CDC & Incremental Processing
• Git, CI/CD & Testing
• Data Quality, Monitoring & Observability
• Technical Leadership & Stakeholder Management

Key Responsibilities :

• Design and build scalable data pipelines using Databricks, PySpark, Python, SQL, and AWS.
• Own data products from design through production.
• Develop batch / streaming pipelines and reusable ETL / ELT frameworks.
• Optimize pipelines for performance, scalability, reliability, and cost.
• Design scalable data architectures and data models.
• Implement data quality, monitoring, lineage, and CI/CD practices.
• Lead technical discussions and mentor engineering teams.
• Collaborate with business stakeholders, architects, product owners, and engineering teams.
• Remain hands-on while providing technical leadership.

Ideal Candidate :

A 14 to 20 years experienced, hands-on Data Engineering leader with strong Databricks + PySpark + AWS expertise, excellent communication, stakeholder management, and experience delivering enterprise-scale data platforms.

🔴 Super Urgent : Only Bangalore-based immediate joiners.

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

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.

Must Have Primary Skills

Data Engineering

• 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
• Strong experience designing scalable batch and streaming data pipelines on AWS.
• Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
• Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

• Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
• Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

• Strong expertise in:
• SQL (Analytical Queries, Window Functions, Stored Procedures)
• Python
• Spark / PySpark
• Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

• Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
• Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
• Strong understanding of:
• Data Modeling
• Partitioning
• File Formats
• Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

• AWS Glue
• Amazon MWAA
• Amazon EMR
• Amazon Redshift
• Amazon S3
• Amazon Athena
• AWS Glue Catalog
• Amazon Aurora PostgreSQL
• AWS Lambda
• Amazon EC2
• Amazon DynamoDB
• Amazon API Gateway
• Amazon CloudWatch
• Amazon SQS
• Amazon SNS
• Amazon EventBridge
• AWS Secrets Manager
• AWS IAM

Development Practices

• Experience with CI/CD.
• Strong knowledge of Git.
• Familiarity with Data Engineering best practices.

Soft Skills

• Strong communication skills.
• Excellent problem-solving ability.
• Stakeholder management experience.

Preferred Certification

• AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

• AWS Step Functions
• Terraform / Infrastructure as Code (IaC)
• Kafka
• Hive
• HDFS
• Other Big Data technologies
• Experience using GenAI-assisted development tools such as:
• GitHub Copilot
• Cursor
• Kiro
• Similar AI coding assistants
• ClickHouse Database
• Telecom / Mobile Network domain knowledge
• AtScale design and development
• Docker
• Kubernetes 

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

We are looking for a passionate and experienced Backend Engineer (Python) to join our engineering team. The ideal candidate will have strong expertise in backend development, API design, scalable application architecture, and SaaS applications, along with familiarity with React and frontend technologies. You will collaborate with cross-functional teams to build, enhance, and maintain robust, secure, and high-performance applications.

Roles and Responsibilities

• Design, develop, and maintain scalable and high-performance web applications and backend services
• Develop secure, efficient, and reliable backend services and RESTful APIs using Python
• Design and implement scalable microservices and distributed application components
• Collaborate with frontend engineers and contribute to React-based features or integrations when required
• Work closely with product managers, designers, QA engineers, and other stakeholders to deliver high-quality features
• Write clean, maintainable, reusable, and testable code following software engineering best practices
• Participate in code reviews and contribute to coding standards, engineering practices, and technical improvements
• Optimize applications, APIs, databases, and backend services for performance, reliability, and scalability
• Troubleshoot, diagnose, and resolve application and production issues
• Contribute to system architecture, technical design decisions, and continuous improvement initiatives
• Develop and maintain automated tests to ensure application quality and reliability
• Collaborate with DevOps teams to support CI/CD pipelines, containerized deployments, and cloud-based applications

Requirements

• 3 to 6 years of professional experience in Backend Development using Python
• Strong hands-on experience with Python backend frameworks such as Django and Flask
• Experience building and supporting SaaS applications, with exposure to microservices, caching, pub-sub, messaging technologies, RESTful APIs, and distributed systems
• Strong understanding of databases such as PostgreSQL, MySQL, MongoDB, or SQL Server
• Experience with version control systems such as Git
• Exposure to technologies such as Kafka, Redis, Elasticsearch, Redshift, Nginx, and GraphQL is a plus
• Strong foundation in computer science, including data structures, algorithms, object-oriented programming, and software design principles
• Familiarity with CI/CD pipelines and tools such as Jenkins.
• Good understanding of cloud platforms such as AWS, Azure, or GCP
• Strong understanding of software design principles, scalable application architecture, and data structures
• Experience with containerization technologies such as Docker.
• Knowledge of automated testing frameworks and best practices.
• Experience working in Agile/Scrum environments
• Familiarity with frontend technologies, particularly React
• Strong problem-solving, analytical, communication, and collaboration skills

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description

We're seeking an experienced Senior Backend Engineer/Tech Lead to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic. Also, guiding the mentoring the junior team members

Responsibilities

• Design, develop, and deploy backend systems, including APIs, databases, and server-side logic
• Write clean, efficient, and well-documented code that adheres to industry standards and best practices
• Code Quality: Ensure code quality through code reviews, adherence to best practices, and continuous improvement
• Mentorship: Guide and mentor team members, fostering growth and innovation
• Collaboration: Work closely with stakeholders to align technical goals with business objectives
• Problem-Solving: Analyze and resolve technical challenges promptly
• Innovation: Stay updated with the latest technology trends and integrate them into solutions

Requirements

• At least 5+ years of experience building scalable and reliable backend systems
• Strong expertise in NodeJS/NestJS, Java, Express, PostgreSQL
• Experience with microservices architecture and distributed systems
• Proficiency in database design (SQL and NoSQL)
• Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines
• Deep understanding of design patterns, data structures, and algorithms
• Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes
• Familiarity with Frontend Development Technologies (React, JavaScript, HTML, CSS)
• Exceptional communication and leadership skills
• Strong understanding of object-oriented programming principles and design patterns
• Familiarity with automated testing frameworks and methodologies
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to effectively lead and maintain a collaborative team environment

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

About the Company

Fluxsolve Technovations Private Limited (incorporated 2023) builds Fuse-OS — an AI-powered Insurance Distribution Operating System. Fuse-OS is a unified enterprise platform that orchestrates people, processes, and insurance ecosystems across the distribution chain, from lead generation and policy issuance through servicing, reconciliation, payouts, compliance, and business intelligence.

Unlike traditional policy administration tools or point-solution workflow software, Fuse-OS serves insurers, brokers, corporate agents, aggregators, NBFCs, banks, automotive finance companies, OEMs, and dealer networks through three flagship platforms: Insurance Distribution Management, Revenue & Reporting Management, and Embedded & Group Products Management. The platform is cloud-native and AI-native, multi-tenant and modular, with enterprise security controls, configurable business rules, and integration-ready architecture.

About the Founders

Pankaj Sharma — Co-Founder & CEO. IIT Roorkee (B.Tech ECE). Leadership experience across insurance distribution and strategy, including roles at Angel One, Liberty General Insurance, Pasarpolis Indonesia, HDFC ERGO, and Coverfox, along with prior founding experience.

Prenit Wankhede — Co-Founder & CTO. IIT Kanpur (B.Tech + M.Tech EE). Engineering leadership across insurance technology and financial services, including roles at Liberty General Insurance, Morgan Stanley, and Coverfox, along with prior founding experience as CTO.

Role Summary

We are hiring Backend Developers with a full-stack orientation to help build and maintain Fuse-OS. You will primarily work with Python and Django, contribute to APIs and backend services, and comfortably support light frontend work using HTML, JavaScript, jQuery, and CSS. You will learn from senior engineers while delivering reliable features in a multi-tenant SaaS environment.

Key Responsibilities

·      Develop and maintain backend features using Python and Django

·      Build and enhance REST APIs, data models, business logic, and admin tooling

·      Work with relational databases (PostgreSQL) and background job processing patterns

·      Support full-stack contributions using HTML, JavaScript, jQuery, and CSS where needed

·      Write clean, testable code; participate in code reviews and follow team engineering standards

·      Debug issues across application, data, and service layers with guidance from senior engineers

·      Collaborate with frontend, QA, and product/delivery stakeholders on requirements and delivery quality

·      Contribute to technical documentation and knowledge sharing within the team

Required Skills & Qualifications

·      Hands-on experience with Python and Django (academic projects, internships, or professional work)

·      Working knowledge of PostgreSQL / relational data modeling and ORM usage

·      Comfort with Git, Linux basics, and debugging application behavior from logs

·      Frontend familiarity for full-stack contribution: HTML, JavaScript, jQuery, and CSS

·      Ability to read existing codebases, follow established patterns, and deliver incremental improvements

·      Strong analytical problem-solving skills and attention to detail

·      Good written and verbal communication

Preferred / Nice to Have

·      Familiarity with browser automation using Selenium and Python (big plus)

·      Exposure to Celery/Redis, Django REST Framework, or common data-processing libraries

·      Basic AWS familiarity (e.g., compute, storage, monitoring) — optional but good to have

·      Experience with SaaS products, multi-tenant applications, or enterprise web systems

Domain Preference

Familiarity with the insurance industry and InsurTech is preferred but not mandatory. Strong engineering fundamentals and willingness to learn the domain matter more.

What We Offer

·      Opportunity to build a category-defining Insurance Distribution Operating System (Fuse-OS)

·      Work on modern multi-tenant SaaS architecture with meaningful ownership and mentoring

·      Collaborative product and engineering culture focused on quality and customer outcomes

·      Exposure to enterprise SaaS, AI-enabled workflows, and large-scale operational systems

·      Growth path with clear impact on product and customers

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

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 3+ years of hands-on experience
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

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. 

Position: Software Developer - Golang

Location: Baner, Pune (Hybrid)

Experience:5-8 Years 

Employment Type: Full-Time

Role Summary

Key Responsibilities

 Design, develop, and maintain scalable backend applications using Golang.

 Develop and maintain RESTful APIs and microservices.

 Build and maintain frontend applications using Angular, TypeScript, JavaScript, HTML, and CSS.

 Develop cloud-native solutions using AWS, including AWS Lambda and other serverless services where appropriate.

 Integrate applications with SQL/NoSQL databases and third-party services.

 Write clean, maintainable, and testable code following coding standards and best practices.

 Participate in solution design, code reviews, and technical discussions.

 Troubleshoot and resolve application and production issues.

 Collaborate with Product Owners, QA engineers, and development teams across India and Japan.

 Participate in Agile ceremonies including sprint planning, estimation, reviews, and retrospectives. 

Mandatory Technical Skills: 

 3–8 years of software development experience.

 Strong hands-on experience with Golang.

 Experience designing and developing RESTful APIs and backend services.

 Good experience with Angular, TypeScript, JavaScript, HTML5, and CSS3.

 Hands-on experience with AWS Cloud, including:

o AWS Lambda

o API Gateway

o Amazon S3

o IAM

o CloudWatch

 Experience working with at least one SQL or NoSQL database.

 Good understanding of concurrency concepts in Go (goroutines, channels) and. Go best practices.

 Experience with Git and collaborative development workflows.

 Strong understanding of object-oriented principles, design patterns, and microservices architecture.

 Experience working in an Agile/Scrum development environment. 

Preferred Skills

 Experience with Docker and containerization.

 Exposure to Kubernetes or Amazon ECS.

 Experience with CI/CD pipelines.

 Familiarity with OAuth2, JWT, or similar authentication mechanisms.

 Experience with SQL Server, PostgreSQL, MySQL, MongoDB, or DynamoDB.

 Experience developing enterprise SaaS or B2B software products.

 Experience working with globally distributed teams.

Education

 Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions for complex enterprise challenges. Operating at the intersection of data-intensive platforms and cloud-native infrastructure, the company partners with global clients to modernize their digital ecosystems. With a culture rooted in engineering excellence and pragmatic problem-solving, Euphoric Thought Technologies empowers its teams to deploy high-impact applications that serve millions of end-users across diverse industry verticals.

Role Overview:

As a Senior Python Developer based in Bangalore, you will serve as a technical anchor for our core product development initiatives. You will work closely with cross-functional teams, including product managers, frontend engineers, and DevOps specialists, to architect robust backend services that drive our platform's performance. Your daily contributions will involve translating complex business requirements into clean, maintainable code, ensuring that our systems remain resilient and efficient as we scale to meet growing user demand.

Key Responsibilities:

- Design and implement high-performance backend services using Python to ensure seamless data processing and system reliability for our enterprise clients.

- Develop and maintain RESTful APIs that facilitate smooth integration between internal microservices and external third-party platforms.

- Optimize database queries and schema designs in SQL to improve application latency and support high-concurrency environments.

- Architect and deploy cloud-native solutions on AWS, ensuring that our infrastructure remains scalable, secure, and cost-effective.

- Implement comprehensive unit and integration testing using PyTest to maintain high code quality and minimize production defects.

- Collaborate with stakeholders to refine technical specifications and mentor junior developers to foster a culture of continuous technical improvement.

Required Skillset:

- Demonstrated expertise in building and scaling production-grade applications using Python, with a deep understanding of Django and Flask frameworks.

- Proven ability to design and document RESTful APIs that adhere to industry standards for security and performance.

- Proficient in managing and optimizing complex SQL databases to support data-heavy application requirements.

- Hands-on experience in configuring and managing AWS services to support deployment pipelines and cloud infrastructure.

- Strong commitment to test-driven development, evidenced by a track record of using PyTest to ensure system stability.

- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders and work effectively in a collaborative, office-based environment in Bangalore.

- Possess 6 to 9 years of professional software development experience, showcasing a consistent ability to deliver high-quality code in fast-paced environments.

Responsibilities

Design and execute ETL test scenarios, test cases and test scripts based on business and technical requirements.

Validate source-to-target data mapping, transformation rules, business rules and data flows.

Perform ETL, Data Warehouse and Database Testing across multiple data sources and target systems.

Validate data extraction, transformation, loading and reconciliation processes.

Perform data validation, data completeness, data accuracy and data integrity testing.

Write complex SQL queries for backend data validation, reconciliation and defect analysis.

Validate source-to-target mappings and identify data discrepancies. Perform database testing involving joins, stored procedures, views, functions, indexes and constraints.

Test incremental loads, full loads, CDC and batch processing where applicable.

Validate ETL workflows, schedules, dependencies and error-handling mechanisms.

Perform data reconciliation between source and target systems and investigate mismatches.

Validate duplicate records, missing records, null values, data truncation and transformation errors.

Execute regression, integration, system and end-to-end testing for ETL/data pipelines.

Validate large-volume datasets and perform data quality and consistency checks.

Work with developers, data engineers, business analysts and product teams to resolve data-related issues.

Analyze ETL job failures and assist development teams with root-cause analysis (RCA). Log, track and manage defects using tools such as Jira, Azure DevOps or similar.

Prepare test execution reports, defect reports and testing status updates.

Participate in requirement analysis, test planning, estimation and defect triage meetings.

Support UAT, production validation and post-release data verification.

Ensure testing complies with enterprise data governance, security, privacy and quality standards.

Work in an Agile/Scrum environment and participate in sprint planning, daily stand-ups, reviews and retrospectives.

Collaborate with globally distributed teams and stakeholders across business and technology functions.

Understand insurance-domain data such as policy, customer, claims, billing, premium and financial data is an advantage.

Requirements

4–6 years of hands-on experience in ETL Testing / Data Warehouse Testing / Database Testing.

Strong understanding of ETL concepts, data warehousing and data integration processes.

Strong hands-on SQL skills including complex joins, subqueries, CTEs, aggregations and data reconciliation queries.

Experience with ETL tools such as Informatica, IBM DataStage, SSIS, Talend, Azure Data Factory or similar.

Experience testing large-volume data and enterprise data pipelines. Good understanding of Dimensional Data Modeling, Star Schema, Snowflake Schema, Fact and Dimension tables.

Strong knowledge of source-to-target mapping and transformation validation.

Experience with Oracle, SQL Server, DB2, PostgreSQL or other relational databases.

Knowledge of batch processing, scheduling, incremental/full loads and data migration testing.

Experience with API, web service or downstream application data validation is preferred.

Good understanding of SDLC, STLC, defect lifecycle and Agile methodologies.

Experience with Jira, Azure DevOps, ALM or similar test/defect management tools.

Exposure to cloud data platforms such as Azure/AWS is an added advantage.

Exposure to Python or scripting for test-data validation/automation is desirable.

Knowledge of data quality, reconciliation, data lineage and data governance.

Strong analytical and problem-solving skills with the ability to investigate complex data issues.

Excellent communication and stakeholder-management skills.

Prior experience in Insurance, BFSI or other regulated enterprise environments will be highly preferred.

We are looking for an experienced AJO consultant with proven hands-on implementation background. This role is for candidates who have already delivered AJO and AEP solutions for enterprise customers and are ready to lead engagements independently. We hire for deep platform expertise, a client-first mindset, strong technical delivery capability, and the ability to advise customers with confidence across the full implementation lifecycle.

We’re Hiring | Full Stack Developer

About MotionGility

MotionGility is building India's first AI-powered SaaS platform that automates explainer video production for SaaS/AI companies. We combine a Full AI tools stack into a single pipeline that takes a client's product brief and delivers a complete explainer video — script, illustrations, voiceover, and animation — in under a few minutes. We have 11 years of agency experience producing 500+ SaaS explainer videos and we are now building the platform that does this at scale, with AI.

This is an early-stage product role. You will be the first full-time developer on the team, working directly with the founders

Position: Full Stack Developer

Location: Indore (Onsite)

Type: Full-time

Experience: 2-3 Years

Notice Period: Immediate Joiner or Up to 30 Days Notice Period Accepted

Key Responsibilities

• Build and maintain the client-facing SaaS platform using React, Next.js, TypeScript, and Supabase.
• Develop project dashboards, approval workflows, and video delivery interfaces.
• Implement authentication, authorization, and role-based access control.
• Integrate payment gateways and third-party AI APIs.
• Build real-time project tracking and notification systems.
• Ensure application performance, scalability, and responsive design.
• Collaborate directly with founders on product development and technical decisions.

Tech Stack

Frontend: React, Next.js, TypeScript, Tailwind CSS

Backend: Supabase (PostgreSQL, Auth, Storage, Realtime, Edge Functions)

Payments: Razorpay

Automation: n8n Cloud

Deployment: Vercel / Netlify

AI Integrations: OpenAI, ElevenLabs, Recraft V3, Runway Gen-3, GPT Images, Nano Banana, Higgsfield, and related AI APIs

Requirements

Must-Have Skills

• Minimum 2 years of experience building and shipping React applications.
• Working knowledge of TypeScript and modern frontend development.
• Experience with SQL, PostgreSQL, or Supabase databases.
• Experience integrating at least one payment gateway in a production project.
• Ability to showcase at least one live deployed product built personally.

Preferred Skills

• Experience with Next.js (App Router and API Routes).
• Hands-on experience with Supabase Auth, RLS policies, and Realtime features.
• Prior experience in a startup or early-stage SaaS environment.
• Strong product thinking and problem-solving mindset.

This Role Is Not Suitable If

• You require detailed specifications before starting development.
• You cannot demonstrate a live product you have built.
• You depend heavily on senior developers for technical decisions.
• You prefer backend or infrastructure-focused roles over product development.

What You'll Gain

• Direct mentorship from experienced founders.
• Ownership of the complete client-facing product.
• Exposure to cutting-edge AI technologies and workflows.
• Flexible working culture focused on outcomes.
• Opportunity for ESOPs based on performance and contribution.
• Fast career growth with potential progression into leadership roles.

Job Description:

Position: Lead / Senior Data Engineer

Location: Chennai

Shift: US Eastern Time ( 5:00 PM – 2:00 AM )

Experience : 8+ years

Notice Period: Immediate Joiner only

Roles and Responsibilities:

Role Overview

The Lead Data Engineer will be responsible for designing, developing, and delivering high-quality software and data solutions while leading a team of engineers. The role involves hands-on technical work, architectural decision-making, mentoring junior developers, and collaborating with cross-functional teams to ensure successful delivery of scalable data platforms and analytical solutions.

Key Responsibilities:

Lead the end-to-end design, development, and delivery of software systems, data pipelines, and components.

Define technical strategy, architecture, and best practices for development and data engineering.

Design and build optimized data pipelines using cutting-edge technologies in a cloud environment.

Construct infrastructure for efficient ETL processes from various sources and storage systems.

Architect, design, and maintain database pipeline architectures, ensuring readiness for AI/ML transformations.

Lead the implementation of algorithms and prototypes to transform raw data into useful information.

Review code for quality, scalability, and performance.

Collaborate with Product Managers, Business Managers, Designers, and QA teams to translate business requirements into technical solutions.

Develop analytical tools, programs, and reporting mechanisms.

Create data validation methods and data analysis tools.

Interpret data trends and patterns to establish operational alerts.

Conduct complex data analysis and present results effectively.

Prepare data for prescriptive and predictive modeling.

Ensure compliance with data governance and security policies.

Troubleshoot, debug, and resolve complex technical issues.

Drive continuous improvement in software and data development processes, tools, and methodologies.

Mentor and guide engineers through code reviews, technical discussions, and training.

Ensure timely delivery of projects while maintaining high engineering standards.

Continuously explore opportunities to enhance data quality and reliability.

Apply strong programming and problem-solving skills to develop scalable solutions.

Demonstrate passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with global teams.

Stay current with emerging technologies and industry trends to propose innovative solutions.

Technical Skills and Experience Requirements

Minimum 8+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Python, Scala, and Spark for applied large-scale data processing.

Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases such as MySQL and Snowflake.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data lakes.

Qualifications - Bachelor’s degree in computer science, Engineering, Information Systems, or related field.

Software Development Engineer

What you'll do

Be the dedicated engineer for one of our clients. Learn their business, find what to automate, and build it.

Build automations, integrations, and web apps on whatever the client runs business platforms like the Zoho suite, cloud services like Azure, and custom apps where needed.

Work with APIs every day: connect systems, move data, make tools talk to each other.

Own work end to end: hear the problem from the stakeholder, build the solution, ship it, demo it, support it.

Resolve client tickets and bugs fast. Keep their systems and data healthy.

Write things down: clear docs, clear updates, clear commit history.

What we're looking for

2–5 years shipping software that works and being able to read it, debug it, and stand behind it.

Strong with REST APIs and integrations between systems.

Happy working inside business platforms (Zoho, Salesforce, or similar). Much of the leverage in this role lives there, not in custom code.

You can sit in a call with a non-technical client, understand the real problem, and come back with a working solution.

Self-driven. You'll often be the only engineer on a problem.

Why you'll love this role

Full ownership from first call to delivery you run projects, not just a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

Location - Remote (India)

Key Responsibilities 

• Design, develop, and maintain database schemas, stored procedures, views, and queries in SQL Server and MySQL. 

• Identify and resolve query performance bottlenecks using execution plans, indexing strategies, and tuning techniques. 

• Conduct regular database health checks and performance reviews to ensure optimal operation. 

• Collaborate with development and operations teams to support application data requirements. 

• Write and optimize complex SQL scripts to meet business and operational needs. 

• Support the DBA Team Lead with day-to-day database operations and incident resolution. 

• Assist in monitoring database availability, integrity, and backups. 

• Document database structures, procedures, and changes in a clear and organized manner. 

• Implement best practices for data storage, retrieval, and processing efficiency. 

• Contribute to the continuous improvement of database standards and internal processes. 

• Identify and effectively prioritize situations requiring urgent attention. 

• Stay current with system information, database technologies, changes, and updates. 

• Experience with cloud-managed databases (e.g., Microsoft Azure SQL Database, Amazon RDS) and understanding of scaling, cost optimization, and high availability in cloud environments. 

• Hands-on exposure to database automation and CI/CD practices (schema versioning, deployment pipelines, Infrastructure as Code). 

• Strong knowledge of high availability and disaster recovery design, including replication, failover, and defined RPO/RTO ownership. 

• Familiarity with database security best practices (encryption, access control, auditing, and protection of sensitive/regulated data). 

• Experience with monitoring and observability tools, with a proactive approach to performance tuning and alerting. 

• Scripting ability (PowerShell, Python, or Bash) to automate routine database operations and reduce manual effort. 

• Experience with database migrations, version upgrades, or modernization initiatives (on-prem to cloud or legacy to current platforms). 

• Ability to operate in a DevOps-oriented environment, partnering closely with engineering teams and owning database performance tied to application SLA. 

• Proficiency in T-SQL and/or standard SQL. 

• Ability to multi-task and adjust priorities quickly in a fast-paced environment. 

• Ability to research and implement solutions using available technical resources. 

• Strong analytical and problem-solving skills with attention to detail. 

• Ability to clearly communicate technical concepts to non-technical stakeholders. 

• Advanced knowledge of database performance tuning and query optimization. 

• Familiarity with cloud database platforms such as Microsoft Azure SQL, AWS   RDS, or equivalent. 

• Experience with database deployment automation and CI/CD pipelines. 

• Understanding of high availability, disaster recovery, and data protection strategies. 

• Working knowledge of database monitoring and performance management tools. 

• Basic scripting skills (PowerShell, Python, or Bash) for automation. 

• Awareness of data security and compliance considerations in regulated environments. 

Required Skills 

• Proven working experience as a Database Administrator or in a similar role. 

• Working knowledge of Microsoft SQL Server (SSIS, T-SQL, DDL, SML) 

• Working knowledge of MySQL or MariaDB. 

• A minimum of 5 years of experience in database administration. 

• Understanding of database normalization and data modeling principles. 

Nice to Have 

• MacOS, iOS, Android, Linux OS beneficial but not required. 

• ETL processes or data warehouse experience beneficial but not required. 

• Microsoft Certified: Azure Database Administrator Associate or equivalent SQL Server certification preferred but not required. 

• MySQL certification preferred but not required. 

Forward Deployed Engineer (FDE) – KnackLabs.ai

As a Forward Deployed Engineer at knacklabs.ai, you will sit at the intersection of engineering and customer success. You'll embed directly with customer teams to understand their workflows, rapidly prototype and ship solutions using our platform, and turn those learnings into product improvements. This role is ideal for engineers who want high ownership, fast feedback loops, and direct exposure to how their code changes a customer's business.

What you will own

1. Customer embedding
2. Work directly with customers to understand their business processes, pain points, technical environments, and existing ERP/application landscape.
3. Solution building
4. Design, build, and deploy custom integrations, workflows, and applications on top of the knacklabs.ai platform.
5. Product feedback loop
6. Turn one-off customer builds into reusable, generalizable features by working closely with the core product and engineering teams.
7. Rapid prototyping
8. Write production-quality code under real deadlines, balancing speed with maintainability.
9. Technical troubleshooting
10. Debug issues across the stack, from data pipelines to APIs to front-end integrations, in live customer environments.
11. Ongoing ownership
12. Own the technical relationship with select customers post-deployment, ensuring solutions remain stable and scale with their needs.
13. Travel
14. Travel to customer sites as needed, expected occasionally and varying by account.

What we need from you

1. Three or more years of professional software engineering experience, ideally including customer-facing or implementation work.
2. Strong proficiency in at least one backend language (Python, Node.js, Go, or similar) and comfort working across a full stack.
3. Experience with REST/GraphQL APIs, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, or Azure).
4. Proven experience building and deploying AI-driven solutions within enterprise application ecosystems, including ERP integrations, workflow automation pipelines, and end-to-end product development, with a track record of hands-on stakeholder engagement across technical and business teams.
5. Hands-on experience with ERP systems such as ERPNext/Frappe, SAP, Oracle ERP, Microsoft Dynamics/Navision/Business Central, Odoo, or similar enterprise ERP platforms, including experience with ERP implementation, customization, workflow/module modifications, integrations, or building applications on top of ERP systems, is strongly preferred.
6. Demonstrated ability to work independently in ambiguous, fast-changing environments.
7. Strong communication skills. You can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
8. A bias toward action. You are comfortable shipping a working solution today rather than a perfect one next month.

Job Summary

We are seeking an experienced Integration Support Engineer with 2+ years of experience in enterprise integration and production support. This role will act as the complete owner of the customer support board — managing, triaging, and resolving support tickets end to end while coordinating with engineering, product, and implementation teams. The ideal candidate has strong hands-on experience with Boomi or another iPaaS platform, deep working knowledge of databases and REST APIs, and a track record of rigorous testing and validation. Experience with Intapp Integration Builder is a plus.

Work Hours: 6:00 PM – 5:00 AM, with flexible breaks during the shift.

Key Responsibilities

• Own the customer support board end to end — triaging incoming tickets, managing priority and status, and driving each issue through to resolution.

• Serve as the frontline point of contact for customers on integration issues, providing clear, timely communication throughout the life of a ticket.

• Debug and troubleshoot integrations built on Boomi or other iPaaS platforms, performing root-cause analysis and resolving incidents within SLAs.

• Write, optimize, and troubleshoot SQL queries against production and staging databases for data validation, reconciliation, and issue investigation.

• Work extensively with REST/SOAP APIs, FTP/SFTP, and data formats such as JSON and XML to diagnose and resolve integration failures.

• Test and validate reported issues, including reproducing defects, verifying fixes, and confirming resolution before closing tickets.

• Participate in integration design and enhancement work, contributing to the build and improvement of existing integration processes.

• Take up new development and change requests, following SDLC practices — design, build, test, and deploy — to release changes safely to production.

• Work across internal teams — engineering, product, and implementation — to triage incoming issues, determine ownership, and coordinate resolution.

• Collaborate closely with engineering, product, and implementation teams to resolve both technical issues (database, integration, and server-side) and business/process issues.

• Stay flexible and continuously build cross-functional knowledge, since resolving tickets often requires learning new systems and business workflows on the fly.

• Maintain technical documentation, support guides, and troubleshooting procedures.

Qualifications:

• Bachelor's degree in Computer Science, IT, or a related field.

• 2+ years of experience in integration engineering, integration support, or a similar role.

• Hands-on experience with Boomi or another iPaaS platform.

• Strong, demonstrable skills in SQL and database troubleshooting — this role requires day-to-day, hands-on database work.

• Strong REST/SOAP API knowledge, including testing, debugging, and validating API-based integrations.

• Solid experience with structured testing and validation practices for integration issues.

• Good understanding of integration patterns, cloud technologies, and production support.

• Strong analytical, communication, and stakeholder-management skills.

• Ability to work flexibly across engineering, product, and implementation stakeholders, and to quickly learn new systems and domains.

• Willingness and ability to work the required shift: 6:00 PM – 5:00 AM.

Preferred Skills

• Boomi or relevant iPaaS certification.

• Experience with Intapp Integration Builder.

• Knowledge of Azure Functions, Logic Apps, and other Azure services.

• Experience with monitoring, logging, and integration observability.

What We Offer

Competitive salary and benefits, work-from-home flexibility, a dynamic work environment, and opportunities for professional growth while working on enterprise-grade integrations.

About the Role

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and AI-assisted software development using Cursor. The role is suited for an engineer who can work directly with clients and internal teams to understand business problems, rapidly build solutions, and take them from prototype to production.

The ideal candidate should have strong expertise in Python, SQL, Databricks, PySpark, data engineering, APIs, and modern AI-assisted development workflows, along with excellent problem-solving and client-facing skills.

Key Responsibilities

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable technical and data solutions.
• Rapidly prototype, test, iterate, and productionize solutions.
• Collaborate with engineering, data, AI, and delivery teams to implement customer solutions.
• Troubleshoot production issues and continuously improve deployed solutions.
• Act as a technical bridge between clients and internal engineering teams.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize ETL/ELT and data processing pipelines.
• Work with Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows.
• Develop data ingestion and transformation pipelines for structured and semi-structured data.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Cursor & AI-Assisted Development

• Use Cursor and AI-assisted development workflows to accelerate software development, debugging, refactoring, and documentation.
• Effectively use AI coding assistants to understand existing codebases and develop new features.
• Apply appropriate engineering judgment to review, validate, test, and secure AI-generated code.
• Use AI-assisted development for rapid prototyping and proof-of-concept development.
• Work with modern AI/LLM APIs and tools where required for customer solutions.
• Stay current with emerging AI-assisted software engineering practices.

Production & Deployment

• Develop production-ready applications, APIs, and data pipelines.
• Work with Git, CI/CD, APIs, containers, and cloud environments.
• Monitor application and pipeline performance and resolve production issues.
• Ensure solutions meet requirements for scalability, security, reliability, and maintainability.
• Collaborate with Data Scientists and ML Engineers to integrate AI/ML capabilities into production systems.

Required Skills & Experience

• 4+ years of experience in Software Engineering, Data Engineering, AI Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse architecture.
• Experience building production-grade data pipelines.
• Hands-on experience with Cursor or similar AI-powered coding assistants.
• Strong understanding of REST APIs and system integrations.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong debugging, problem-solving, and analytical skills.
• Excellent communication and client-facing abilities.

Preferred Skills

• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with Generative AI / LLM applications.
• Knowledge of Claude, OpenAI, Azure OpenAI, or other LLM platforms.
• Experience with RAG, vector databases, embeddings, or AI agents.
• Experience with Docker, Kubernetes, and CI/CD.
• Experience in a consulting, customer-facing engineering, or professional services environment.
• Exposure to Agile/Scrum methodologies.

Key Competencies

• Strong problem-solving and ownership mindset
• Ability to work in ambiguous and fast-paced environments.
• Strong client/stakeholder management skills.
• Ability to understand business requirements and convert them into technical solutions.
• Strong communication and presentation skills.
• Ability to rapidly learn new technologies and tools.
• Comfortable working with AI-assisted development while maintaining high engineering standards.

Education

• Bachelor's or master’s degree in computer science, Information Technology, Engineering, Data Science, or a related discipline.

Role Summary:

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and Generative AI/Claude to work closely with clients, business stakeholders, and internal engineering teams. The ideal candidate will combine strong Data Engineering, Software Engineering, Databricks, and Generative AI skills with the ability to understand business problems and rapidly build, deploy, and optimize production-ready solutions. This is a client-facing, hands-on engineering role where you will work from problem discovery and solution design through POC development, production deployment, and ongoing optimization.

Key Responsibilities:

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable data, AI, and software solutions.
• Design and develop POCs and rapidly validate technical solutions.
• Convert successful POCs into reliable, production-ready applications.
• Work closely with client engineering and data teams during implementation and deployment.
• Troubleshoot production issues and continuously optimize deployed solutions.
• Act as a technical bridge between clients, delivery teams, data engineers, AI engineers, and architects.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize data ingestion, transformation, and ETL/ELT pipelines.
• Work with Databricks Lakehouse, Delta Lake, and Unity Catalog.
• Develop Databricks Workflows and production data pipelines.
• Implement data processing solutions for structured and semi-structured datasets.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Generative AI & Claude

• Build enterprise AI solutions using Claude and other Large Language Models (LLMs).
• Integrate Claude APIs into applications and business workflows.
• Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data.
• Work with embeddings, vector search, semantic search, and knowledge retrieval.
• Develop AI-powered applications for summarization, classification, information extraction, question answering, and document processing.
• Implement prompt engineering, structured outputs, tool/function calling, and context management.
• Develop and integrate AI agents and multi-step AI workflows where applicable.
• Evaluate LLM responses for accuracy, relevance, groundedness, latency, and cost.
• Implement appropriate AI guardrails, security, and data privacy controls.

Production & Deployment

• Deploy AI and data solutions into production environments.
• Work with APIs, microservices, Git, CI/CD, containers, and cloud platforms.
• Monitor application and pipeline performance and troubleshoot issues.
• Collaborate with Data Scientists and ML Engineers to productionize AI/ML models.
• Ensure solutions meet security, scalability, reliability, and maintainability requirements.

Required Skills & Experience

• 4+ years of experience in Data Engineering, Software Engineering, AI/ML Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse Architecture.
• Experience working with Generative AI / LLMs.
• Hands-on experience with Claude / Anthropic APIs is preferred.
• Experience with RAG, embeddings, vector databases, and semantic search.
• Strong understanding of REST APIs and enterprise integrations.
• Experience developing production-grade applications and data pipelines.
• Strong problem-solving and troubleshooting capabilities.
• Excellent communication and client-facing skills.

Preferred Skills

• Experience with Claude Code / Anthropic ecosystem.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, or other LLM platforms.
• Experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, and CI/CD.
• Exposure to AI agents and agentic workflows.
• Knowledge of AI evaluation, guardrails, security, and responsible AI.
• Experience working in consulting, client delivery, or customer-facing engineering environments.

Key Competencies

• Strong customer-facing and stakeholder management skills.
• Ability to understand ambiguous business problems and translate them into technical solutions.
• Strong ownership and execution mindset.
• Ability to rapidly prototype, iterate, and productionize solutions.
• Strong analytical and troubleshooting skills.
• Comfortable working in fast-paced and dynamic client environments.
• Excellent written and verbal communication.
• Ability to work independently as well as collaboratively with distributed teams.

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.

About the company

The client is a quantitative investment firm focused on Indian financial markets. They operate a multi-strategy, multi-manager platform designed to generate consistent, risk- adjusted returns.

Their approach combines systematic investment methods, rigorous quantitative research and institutional-grade manager evaluation. We bring together research, technology and data to build scalable investment solutions.

Role Overview

We are seeking a Quantitative Developer with strong C++ and Python expertise to convert mathematical models and research prototypes into reliable, high-performance analytical engines.

You will work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams throughout the full model lifecycle—from research handover and production implementation to validation, deployment and ongoing support.

This role is ideal for someone who enjoys working at the intersection of quantitative finance, numerical computing and production software engineering.

Key Responsibilities

Research Production

• Translate mathematical models and Python research prototypes into robust, production-quality C++.
• Develop reusable components for risk analytics, forecasting, portfolio analysis and simulation.
• Build efficient Python interfaces for C++ components using pybind11 or similar technologies.
• Ensure production implementations remain mathematically and numerically consistent with the underlying research.
• Establish clear and reproducible processes for transitioning models from research to production.

Engine Development and Validation

• Design and develop analytical engines capable of processing historical, batch and streaming data.
• Integrate calculation components with data pipelines, APIs, databases and downstream applications.
• Validate production implementations against research prototypes, benchmark datasets and expected results.
• Develop automated numerical, unit, integration, regression and performance tests.
• Identify and resolve numerical stability, precision and edge-case issues.
• Optimize calculation speed, memory usage, concurrency and scalability.
• Profile and benchmark critical components to meet defined performance requirements.

Deployment and Delivery

• Package analytical engines as libraries, services, APIs or containers.
• Support deployment across internal infrastructure and client-controlled environments.
• Configure engines for different datasets, workflows and institutional requirements.
• Assist with integration testing, production upgrades, issue diagnosis and technical troubleshooting.
• Implement appropriate logging, monitoring and error-handling capabilities.
• Document interfaces, assumptions, configurations, dependencies and deployment requirements.

Collaboration and Ownership

• Work closely with Quantitative Research, Data Engineering, AI and Product Engineering teams.
• Participate in technical design discussions, code reviews and quantitative model reviews.
• Communicate implementation trade-offs, constraints and risks clearly to technical and quantitative stakeholders.
• Take end-to-end ownership of assigned components, from research handover through production deployment and support.
• Contribute to engineering standards, reusable libraries and development best practices.

Required Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Quantitative Finance or a related discipline.
• Strong professional programming experience in modern C++, including object- oriented and generic programming.
• Proficiency in Python and scientific-computing libraries such as NumPy, pandas or SciPy.
• Experience translating mathematical or analytical prototypes into production software.
• Strong understanding of algorithms, data structures, software architecture and design principles.
• Experience building automated unit, integration and performance tests.
• Familiarity with numerical methods, floating-point behaviour and numerical validation.
• Experience profiling and optimizing compute-intensive or data-intensive applications.
• Proficiency with Git and modern software-development practices.
• Strong analytical, debugging and problem-solving skills.
• •Ability to work effectively with both researchers and software engineers.

Preferred Qualifications

• Experience with pybind11, Boost.Python, Cython or similar interoperability technologies.
• Knowledge of quantitative finance, portfolio analytics, risk modelling, forecasting or simulation.
• Familiarity with time-series data and financial-market datasets.
• Experience developing applications that process batch or real-time streaming data.
• Exposure to concurrent, parallel or distributed computing.
• Experience with containerization and deployment technologies such as Docker.
• Familiarity with Linux environments, CI/CD pipelines and cloud or on-premises infrastructure.
• Experience building analytical libraries, calculation services or APIs for institutional users.
• Knowledge of Indian financial markets is advantageous

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.

ROLE:  

Address technical issues relating to software implementation, function, and upgrades. Resolve customer complaints or problems and create product problem reports and troubleshoot documents for each issue. Work closely with application support and development teams to identify and resolve any technical problems that might arise during the development of software. Work with Implementation teams and Account managers to recommend solutions to new customer implementations and workflows.  

ESSENTIAL DUTIES and RESPONSIBILITIES: 

• Understanding the PeopleScout architecture and framework  
• Provide L2 support for tickets passed on by L1 support team using advanced knowledge of Java, SQL, Stored Procedures, Functions, and database development.  
• Analyze and understand Java code to debug, trace, and communicate technical issues effectively with the Development team.  
• Review application logs, perform exception analysis, monitor system performance, and identify root causes to ensure timely issue resolution and optimal application performance.
• Provide technical support to application support team
• Develop solutions to complex customer and software problems
• Assist with software design and development  
• Work within an agile environment  
• Deliver sprint commitments on time
• Be responsible for your own code, and work with others to improve the quality and deliver of theirs  
• Document troubleshooting guides and outcomes of problems, analysis and solutions for future re-use  

MUST HAVE SKILLS: 

• 5 to 8 years of experience in L2 Application Support, preferably supporting SaaS products.
• Strong troubleshooting skills with Java applications, SQL, and REST APIs.  
• Strong hands-on experience with Core Java (Java 8 or above).  
• Good understanding of Spring Boot and Java-based enterprise applications.
• Experience troubleshooting production issues, performing root cause analysis (RCA), and resolving incidents within SLA  
• Strong SQL skills with databases such as Oracle, MySQL, PostgreSQL, or SQL Server.  
• Experience working with REST APIs, JSON, and API testing tools like Postman.
• Ability to analyze application logs using tools such as Splunk, Kibana, ELK, or Grafana.
• Excellent customer communication skills with experience managing client interactions and providing timely updates.
• Familiarity with ServiceNow/Jira, Linux basics, and log analysis for application support

Role Overview

We are looking for experienced Azure Databricks Data Engineers with strong hands-on expertise in Apache Spark/PySpark, Python, SQL, and Azure Data Factory (ADF). The candidate will be responsible for designing, developing, and optimizing scalable data engineering solutions on the Azure cloud platform.

Mandatory Skills

• Strong hands-on experience with Azure Databricks
• Strong knowledge of Apache Spark and/or PySpark
• Proficiency in Python
• Strong SQL development and query optimization skills
• Hands-on experience with Azure Data Factory (ADF)
• Experience developing and maintaining scalable ETL/ELT data pipelines
• Good understanding of Azure data engineering concepts and cloud-based data platforms

Key Responsibilities

• Design, develop, and maintain data pipelines using Azure Databricks and ADF
• Develop efficient data processing solutions using PySpark/Spark and Python
• Write complex SQL queries for data transformation, validation, and analysis
• Build scalable ETL/ELT workflows for large datasets
• Optimize Spark jobs, Databricks notebooks, and data pipelines for performance
• Integrate data from multiple sources into Azure-based data platforms
• Implement data quality, validation, error handling, and monitoring mechanisms
• Troubleshoot production issues and provide timely resolutions
• Collaborate with data architects, analysts, developers, and business stakeholders
• Follow best practices for code quality, security, performance, and maintainability

Experience Requirements

For 5+ Years

• 5+ years of overall experience in data engineering
• Strong hands-on experience in Azure Databricks, PySpark/Spark, Python, SQL, and ADF
• Experience working on enterprise-scale data pipelines

For 9+ Years

• 9+ years of overall experience in data engineering
• Strong expertise in Azure Databricks and modern Azure data engineering
• Proven experience designing and optimizing large-scale data pipelines
• Ability to lead technical discussions and mentor junior engineers

Preferred Skills

• Azure Data Lake Storage (ADLS)
• Delta Lake
• Databricks Workflows
• Azure DevOps / CI-CD
• Git
• Data warehousing concepts
• Experience with Agile/Scrum methodologies

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

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.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

About the Role

We are looking for a motivated Data Engineer with 2+ years of professional experience to join our team. You will be responsible for designing, developing, and maintaining scalable data pipelines and cloud-based data solutions while taking ownership across the full software development lifecycle.

The ideal candidate will have strong experience in modern data engineering practices, cloud platforms, and marketing/advertising data integrations such as Google Ads, Meta Ads, and analytics platforms.

This role is suited for someone who enjoys solving complex data challenges, building reliable systems, and working in a fast-paced environment.

Key Responsibilities

• Design, build, and maintain scalable and reliable ETL/ELT data pipelines.
• Develop and optimize data models, transformations, and warehouse solutions for analytics and reporting.
• Work with marketing and advertising datasets from platforms such as Google Ads, Meta Ads, Google Analytics, and similar ecosystems.
• Integrate APIs, third-party systems, and cloud-native services into data workflows.
• Optimize complex SQL queries and improve pipeline performance and reliability.
• Implement data quality checks, monitoring, and observability across pipelines.
• Collaborate with cross-functional teams including product, analytics, and engineering teams to deliver data-driven solutions.
• Contribute to software engineering best practices including Git workflows, CI/CD pipelines, testing, and documentation.
• Participate in architecture discussions and help improve data platform standards and best practices.
• Build and maintain solutions within Google Cloud Platform (GCP) environments.

Qualifications

• 2+ years of professional experience in Data Engineering or related fields.
• Strong proficiency in Python programming.
• Advanced SQL skills with experience in query optimization and data warehousing concepts.
• Experience working with marketing and advertising platforms such as Google Ads, Meta Ads, Google Analytics, DV360, or similar platforms.
• Experience working with AI-assisted coding and development tools such as Claude Code, Cursor, or similar platforms
• Hands-on experience leveraging AI-based development tools to accelerate data engineering implementation and automation
• Familiarity with AI-powered coding assistants and agentic development workflows
• Understanding of marketing data pipelines, attribution reporting, campaign analytics, or customer analytics is highly desirable.
• Hands-on experience with at least one major data engineering technology such as Airflow, Spark, Kafka, Databricks, or similar frameworks.
• Strong experience with Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, Cloud Functions, GCS, or Composer.
• Familiarity with APIs, Linux environments, CLI tools, Git, and CI/CD workflows.
• Strong understanding of data pipeline design, orchestration, monitoring, and troubleshooting.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and contribute across multiple technical domains.

Who are we?

Inflexion Analytics is a team of data science and analytics consultants based in London, UK, and Bangalore India. Founded in 2015, we have built a strong track record and foundation serving demanding clients. We are now looking to achieve significant growth and become a leading specialist consultancy in the data science field.

What we do?

We help businesses to improve performance through better insight and decision-making. To achieve this, we offer services across the data science value chain including; data strategy, data engineering, data insights, and visual analytics. We work with a global client base, including clients based in the US, UK, Europe, and Australia. 

ElaraRise Technologies is hiring a Senior Backend / Cloud Engineer.

You'd be the first backend hire on a founding team of five, building a transaction-anchored POS and Vision AI platform for retail and food-service operators in India and East Africa.

What you'd own: the POS backend, the transaction cache, real-time updates over SignalR, and the one-way ERP export interface. Offline-first by design — sites lose connectivity regularly, and the system has to keep selling and reconcile cleanly when the line returns.

We're looking for:

✅ 5+ years hands-on .NET — real depth, no shortcuts

✅ 2+ multi-tenant SaaS projects delivered end to end

✅ Azure (IoT / cloud) experience

✅ SaaS architecture mindset

Stack: .NET 10 · C# · Blazor · Azure · ABP Commercial

ABP experience isn't required. We provide the licence, paid support and ramp-up time — we hire for fundamentals.

📍 Nellore, Andhra Pradesh

📅 Start: October 2026

Senior pay for senior skill.

#DotNet #Azure #BackendEngineer #SaaS #Nellore #AndhraPradesh

Design, develop, and maintain ETL pipelines involving large-scale data.

Develop data processing and analytics applications primarily using PySpark and Python.

Build scalable and distributed data processing solutions using Apache Spark.

Develop and deploy data applications on AWS cloud.

Work with AWS services related to storage, compute, ETL, data warehousing, analytics, and streaming.

Implement distributed storage and processing solutions capable of handling high-volume datasets.

Design data processing applications with a focus on performance, scalability, reliability, and optimization.

Work with both SQL and NoSQL databases for data storage, processing, and analytics.

Write, optimize, and analyze SQL, HQL, and NoSQL queries.

Troubleshoot data pipeline and processing issues and ensure data quality and reliability.

Collaborate with data engineers, analysts, architects, and other technical teams to deliver data-driven solutions.

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 

Role Summary

Seeking an experienced SQL Developer with strong expertise in Data Lake architecture, Data Engineering, AI/ML data modelling, and Vector Database design. The candidate will be responsible for building scalable data platforms, developing optimized SQL solutions, designing AI-ready data models, and supporting enterprise analytics and GenAI initiatives.

Key Responsibilities

• Design, develop, and optimize complex SQL queries, stored procedures, views, and database objects.
• Build, maintain, and govern enterprise Data Lakes for structured, semi-structured, and unstructured data.
• Design scalable data models for Analytics, Machine Learning (ML), and AI applications.
• Develop and maintain data ingestion, transformation, and data preparation pipelines.
• Architect and manage Vector Database solutions supporting GenAI, semantic search, embeddings, and RAG-based applications.
• Ensure data quality, security, performance, governance, and scalability across platforms.
• Integrate data from multiple enterprise systems, databases, APIs, and business applications.
• Collaborate with Business, Analytics, Data Science, and AI teams to deliver enterprise data solutions.

Mandatory Skills

• Advanced SQL Development (SQL Server, PostgreSQL, Oracle, MySQL, etc.)
• Data Lake Architecture, Development, and Maintenance
• Data Warehousing & Dimensional Data Modelling
• AI/ML Data Modelling and Feature Engineering
• Python for Data Engineering, Data Processing, and Automation
• Query Performance Tuning & Database Optimization
• Data Governance & Data Quality Management
• Vector Database Architecture and Management (Pinecone, Qdrant, Weaviate, Milvus, Chroma, or similar)
• Experience handling large-scale structured and unstructured datasets

Preferred Skills

• Experience with GenAI, RAG (Retrieval-Augmented Generation), Embeddings, and LLM-based applications
• PySpark and Distributed Data Processing
• Power BI or Enterprise Reporting Platforms
• Knowledge of MLOps, AI data pipelines, and modern data architectures

Key Attributes

• Strong analytical and problem-solving skills
• Ability to independently own end-to-end data platform solutions
• Excellent communication and stakeholder management skills
• Passion for Data Engineering, AI, ML, and GenAI technologies

Ideal Candidate

A hands-on SQL Developer who can build and maintain enterprise Data Lakes, design AI/ML-ready data models, develop Python-based data solutions, and architect Vector Database platforms to support advanced analytics, AI, and GenAI initiatives.

Job Title: Automation Engineer – Watermelon Tool 

Experience: 6–7 Years

Location: Bangalore

Work Mode: Hybrid

Notice Period: Immediate Joiners (Apply only if you can join within 15 Days)

Key Responsibilities:

Design, develop, and maintain automated test scripts using the Watermelon automation tool.

Build and enhance automation frameworks for web, API, and enterprise applications.

Analyze business and functional requirements to identify automation opportunities.

Execute automated regression, smoke, sanity, and functional test suites.

Maintain reusable automation components and improve test coverage.

Integrate automation scripts with CI/CD pipelines.

Perform root cause analysis for failed test cases and provide detailed defect reports.

Work closely with developers, business analysts, and QA teams to resolve issues.

Ensure automation standards, coding best practices, and documentation are followed.

Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.

Required Skills:

5–10 years of experience in Automation Testing.

Strong hands-on experience with the Watermelon automation tool (mandatory).

Experience in test automation framework development and maintenance.

Knowledge of API testing and automation.

Experience with SQL for database validation.

Familiarity with Git or other version control systems.

Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitLab CI.

Strong understanding of SDLC, STLC, and Agile methodologies.

Excellent debugging, analytical, and problem-solving skills.

Good verbal and written communication skills.

Preferred Skills:

Experience with Selenium, Playwright, Cypress, or similar automation tools.

Knowledge of Java, Python, or JavaScript for automation scripting.

Exposure to cloud platforms such as AWS, Azure, or GCP.

Experience working in enterprise-scale automation projects.

ISTQB or equivalent testing certification is an added advantage.

Roles & Responsibilities:

Develop scalable and maintainable automation solutions.

Improve automation coverage and reduce manual testing effort.

Collaborate with stakeholders to deliver quality software releases.

Identify automation improvements and implement best practices.

Support production validation and release testing activities.

Mandatory Skills:

Watermelon Automation Tool

Test Automation

Automation Framework Development

API Testing

SQL

Git

CI/CD

Agile Methodology

Generative AI Engineer 

Role Overview:

You will be responsible for the hands-on development, coding, and deployment of AI-powered features. Your focus is on writing clean, efficient code to integrate LLMs into our existing tech stack, building robust data pipelines for RAG, and ensuring the reliability of model outputs through rigorous testing and optimization.

Key Responsibilities

• Application Implementation: Code and integrate LLM APIs (OpenAI, Anthropic, etc.) or local models into backend services using Python, FastAPI, etc.,
• MCP Server Development: Design and implement custom MCP servers using the official SDKs (Python/TypeScript) to expose internal databases, APIs, and file systems to AI agents.
• RAG Implementation: Build and maintain the "plumbing" for Retrieval-Augmented Generation—specifically coding the data ingestion scripts, text chunking logic, and metadata filtering.
• Vector DB Management: Perform day-to-day operations on vector databases (Pinecone, Milvus, etc.), including indexing, querying, and optimizing search retrieval.
• Prompt Programming: Develop, version-control, and refine complex prompt templates (using Jinja2 or similar) to ensure consistent structured outputs (JSON/YAML).
• Agent Development: Implement multi-step workflows using LangChain, LangGraph, CrewAI etc.,, focusing on tool-calling logic and error handling.
• Evaluation & Testing: Build automated test suites to detect "hallucinations" and measure accuracy using frameworks.
• Performance Tuning: Implement caching layers and streaming responses to reduce latency and improve the end-user experience; Token optimization.
• Data Pre-processing: Clean and tokenize datasets for model fine-tuning or high-quality context retrieval.

Technical Skills (The "Execution" Stack)

• Language: Advanced Python (Asyncio, Pydantic) and optional TypeScript/Node.js (for full-stack integration).
• AI Frameworks: Hands-on experience with any of LangChain, LlamaIndex, and Hugging Face Transformers. RAG and Vector search concepts.
• Data Handling: Proficiency in SQL and handling unstructured data formats (PDFs, Markdown, JSON).
• Deployment: Practical experience with Docker, GitHub Actions (CI/CD), and experience with OpenTelemetry, LangSmith, Weights & Biases etc., Understanding of evaluation/guardrails.
• MCP/API Proficiency: Deep understanding of RESTful APIs, Streaming HTTP, MCP server vs client, JSONRPC

Position: Senior Professional Services Engineer - NTRX

Location: Pune, Hinjewadi PH-2

Experience: 5-7 Years

Budget: 11-12 LPA

Work Type: Hybrid | 2 Days WFO

Role Summary

The NTR-x PSE will own installation, integration & support of NiCE NTR-x recording solutions for clients in Financial Services/Banking domain.

Must Have

 - Domain: 5-7 Yrs experience in Financial Services / Banking domain

 - Recording Solutions: Hands-on with NiCE / Verint / any other recording solutions - Installation, Configuration, Upgrades & Maintenance on Windows/Cloud & NTRX

 - OS: Strong Microsoft Windows Server/OS knowledge

 - Telephony: IP/SIP communication analysis + Strong telephony background

 - Networking: OSI 7-layer, TCP, UDP, LAN/WAN, NICs, Switches, Routers

 - Troubleshooting: Wireshark, Log Analysis, Network testing utilities

 - Scripting: Basic SQL / Shell - Query & Update knowledge

 - Client Skills: Strong customer-facing skills. Able to lead tech discussions & represent NiCE in client meetings

Good to Have

 - Integrations: Experience with PBX, Switch, ACD - Avaya, Cisco, Microsoft Teams, Amazon Connect

 - Cloud: AWS - Primary, Azure. Virtualization - VMware, Citrix

 - Advanced: MDC, LDAP, SSO, ACD Integration, DB Migration, DR & HA Designs

 - Security: Active Directory, GPO, DNS, Certificate Authority, EFS, Hardening

Added Advantage

 - Certifications: MCP / MCSE, CCNA, VMware, Citrix, AWS, Azure

 - Database: Microsoft SQL Server 2012+ - Install, Config, Admin, Backup, Recovery

Key Responsibilities

 - Install, integrate & configure NiCE NTR-x recording solution remotely as per standards

 - Develop/configure software features per design specs & customer requirements

 - Plan & execute Unit, Functional & System testing. Support UAT & Data Validation

 - Assist customers/vendors with NiCE integration points

 - Provide technical expertise across NiCE product suite - Design, Support, QA

 - Escalate issues to Support, R&D & Management when needed

 - Proactive communication with client & management on progress & risks

 - Support after-hours, weekends, client-site & cross-time-zone as required

 - Share customer feedback to R&D for product enhancements.

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.

* Strong practical knowledge and interest in modern AI tools.

* Genuine curiosity and willingness to continuously learn.

* Ability to research, experiment, implement, troubleshoot and improve independently.

* Good understanding of prompting and AI workflows.

* Strong problem-solving mindset.

* Basic understanding of APIs, integrations and automation.

* Ability to explain technology clearly to non-technical people.

* Comfortable using AI to solve real-world business problems.

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.

Hiring : Senior Databricks AI Architect

Exp : 15 - 18 yrs

Work Location : Pune WFO

Skills :

10 +years of experience in Data Engineering, Data Architecture, Analytics, or Software Engineering.

Minimum 5 years of hands-on experience with Databricks (Mandatory).

Strong expertise in designing and implementing enterprise-scale data platforms on Databricks.

Hands-on experience with AI-powered engineering tools such as Databricks Genie, Cursor, GitHub Copilot, or similar AI platforms.

Strong proficiency in Python, SQL, Spark, Delta Lake, and Databricks notebooks.

Excellent communication, stakeholder management

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.

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management