Top Python Developer Jobs in Delhi

Build and maintain large-scale PySpark/Spark data reconciliation pipelines on Hadoop/Big Data platforms; integrate with Kafka, APIs and microservices; support capital markets regulatory reporting and reconciliations; lead globally distributed teams, manage stakeholders, and deliver solutions with strong application design and optional UI integration.

Manage and maintain website content using CMS platforms. Create, edit, and publish content; update site structure; upload and optimize media; implement basic SEO; ensure cross-device UX; troubleshoot issues; and collaborate with designers, developers, and marketing.

Lead architecture, implementation, and operational stability of messaging and streaming platforms. Design and deliver Kafka-based solutions, provision infrastructure with Terraform, integrate AWS messaging services, develop messaging-enabled applications, and mentor cross-functional teams to ensure reliable, multi-cloud messaging operations.

Design, implement, and manage scalable cloud infrastructure using Terraform and IaC practices. Automate provisioning across AWS/Azure/GCP, integrate Terraform into CI/CD, monitor and optimize performance and cost, document modules and architectures, and provide expert troubleshooting and support.

Lead migration from on-premises Oracle to Snowflake. Design, optimize, and maintain complex SQL queries, build Python data pipelines, and use AWS services (Lambda, SNS, SQS, S3). Ensure data integrity, performance, and scalable cloud data solutions while collaborating across teams.

Design and build RPA workflows and scripts to automate manual business processes. Partner with business analysts and process owners to gather requirements, translate them into technical automation solutions, and collaborate with RPA architects and team members to implement and deploy solutions.

Senior software engineer responsible for developing and maintaining core services using Java, Python and shell scripting, working with relational/noSQL databases, and integrating with cloud infrastructure, observability tooling, and CI/CD pipelines. Collaborate on architecture, deployments, and performance/monitoring improvements.

Design, develop, and maintain automated tests, tools, and frameworks for ETL/database testing. Translate requirements into automation specs, implement TDD/BDD approaches, perform white-box testing, and collaborate to improve automation maintainability and processes while tracking automation metrics and KPIs.

Design, build and optimize ETL pipelines and cloud data workflows using Python, PySpark, AWS Glue and Lambda. Implement data models and schemas in PL/SQL/PostgreSQL, integrate AWS services (SNS, Step Functions), and troubleshoot pipelines for performance, scalability and reliability.

Design, build, and optimize end-to-end data pipelines and near-real-time integrations. Implement validation, monitor and troubleshoot systems, manage containerized microservices and Kubernetes deployments, collaborate with stakeholders, document designs, mentor team members, and support product upgrades and migrations.

Develop and lead large-scale Python-based AI projects. Design, implement, and maintain systems using AI frameworks and relational databases (MySQL/PostgreSQL). Collaborate cross-functionally, solve complex problems, and work independently within a team-oriented environment.

Develop and maintain Spark/Scala data processing pipelines on AWS (S3, EMR). Use Python for basic scripting and functional transformations (map, lambda, filter, flatMap, reduce, groupBy, aggregate, reduceByKey). Work with Oracle databases and apply basic performance optimizations for large datasets. Location: Bangalore or Chennai. Requires 3+ years experience.

Design, develop, and execute automated tests and frameworks to validate application functionality and performance. Collaborate with developers and product teams to create test cases, analyze results, report defects, and continuously improve automation processes and CI/CD integration.

Senior QA Automation engineer responsible for data/ETL/datalake testing, writing complex SQL, building and integrating automation (Java/Python) into CI/CD pipelines, coordinating distributed teams, performing root-cause analysis, and implementing QA best practices in an Agile environment.

Lead software engineer responsible for designing and developing Oracle PL/SQL stored procedures and SnapLogic pipelines, optimizing SQL performance across large datasets, participating in Agile delivery and release planning, performing code reviews, tuning, and ensuring solutions meet scalability, resiliency, security, and high-availability standards.

Lead database architecture and implementation, design and develop applications, ensure operational stability, drive automation and CI/CD, use modern databases (NoSQL, distributed RDBMS, in-memory), apply IAC (Terraform), mentor teams, and collaborate across functions.

Design, develop and execute automation and manual tests for Windows and macOS applications. Create test cases, track/report bugs, build E2E automation frameworks using Java/Selenium/TestNG and Python/PyWinAuto. Support API testing, performance testing with jMeter, mobile automation, CI/CD integration, version control, and BDD/TDD practices using JIRA/XRay for test management.

Design, build, and maintain ETL pipelines and frameworks on AWS. Deploy and troubleshoot containerized applications (Docker, EKS), support CI/CD and build tooling, work with SQL/Oracle and ORM tools, and use job schedulers like Autosys/Airflow. Collaborate in Agile/SCRUM environments.

Principal software engineer responsible for designing and building data solutions: develop Oracle PL/SQL stored procedures, create SnapLogic pipelines, tune SQL/DB performance, participate in Agile delivery, perform code reviews, troubleshoot, and ensure scalability, resiliency, security, and high availability.

Design, develop, and maintain server-side logic, databases, and RESTful APIs/microservices. Collaborate with front-end and product teams, ensure security, perform code reviews, troubleshoot issues, and participate across the software development lifecycle.

Develop and maintain web applications using React.js front end and Python back end, build/consume RESTful APIs, deploy and manage services on Azure, collaborate with designers and engineers, participate in code reviews, debugging, and agile development to deliver scalable user-friendly solutions.

Design, build, and optimize end-to-end data pipelines for large structured and unstructured data. Implement near-real-time ETL, data validation, monitoring, and performance optimization. Collaborate with stakeholders, document designs and workflows, and provide technical guidance to the team.

Design and implement Redis and Gemfire caching architectures, including clustering, replication, sharding, eviction policies, and synchronization. Create high- and low-level architecture documentation, optimize for scalability and performance, automate tasks with scripting, and collaborate with developers to ensure reliable, high-performance cache integration.

Design, develop, and execute automated test scripts and frameworks to validate application functionality and performance. Collaborate with developers, product managers, and QA to create test cases, run tests, analyze results, report defects, and continuously improve automation frameworks and CI/CD integration. Participate in code reviews and stay current with automation best practices.

Build, support, and test large-scale AWS cloud-native applications using Java and Apache NiFi to integrate data across AWS services. Own secure SDLC and CI/CD practices, implement microservices/serverless/event-driven architectures, and collaborate with stakeholders to deliver high-quality software.