Top Python Developer Jobs in Delhi

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, develop, and execute manual and automated test plans and cases. Identify, document, and track defects; build and maintain automated test suites; collaborate with developers and cross-functional teams; participate in code reviews and process improvements to increase testing efficiency.

Lead cloud deployment and SRE initiatives for multi-region AWS EKS Kubernetes environments. Promote DevOps practices, automate CI/CD and IaC, mentor engineers, and maintain monitoring, logging, and scalable production infrastructure.

Design and automate AWS security policies, map them to IaC (Terraform/CloudFormation/CDK), embed security testing in CI/CD, perform vulnerability assessments and penetration testing, and collaborate with development/DevOps teams to enforce remediation, compliance, and continuous security improvements.

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.

Build and maintain GCP-based data pipelines and infrastructure to support generative AI/NLP model training, ensure data privacy and security, integrate backend with web and mobile apps, collaborate with AI and DevOps teams, and implement monitoring and optimization for production performance.

Mid-level data/ETL role in Bangalore requiring 3–5 years of experience building and maintaining Oracle-based ETL pipelines. Must use Shell scripting, Informatica, and Autosys scheduling to develop, run, and troubleshoot data jobs. Familiarity with AWS, Python, and Snowflake is a plus.

Design, build and maintain ETL mappings and data models; write SQL and Snowflake queries; manage ETL/infrastructure on AWS (EC2); use Informatica, Control-M and ServiceNow; script in Python/Shell/PowerShell; collaborate with onshore/offshore teams and define BI delivery strategy.

Design and develop distributed systems and large-scale streaming data pipelines using cloud technologies (AWS, Snowflake, Kafka). Build cloud-native, containerized applications (Kubernetes/OpenShift/EKS) and write maintainable code in Java/Scala/Python/Go. Communicate effectively and adapt to new languages and concepts.

Lead a Python development team to design, build, test, and deploy scalable applications and APIs. Provide technical leadership, mentor developers, enforce code quality and best practices, optimize performance, and collaborate with stakeholders. Architect and integrate internal and external APIs and contribute to technical strategy.

Develop and maintain database-driven applications and ETL processes using PL/SQL and Informatica; schedule/manage jobs with Control-M; work with Python and PostgreSQL. Support Java/API integrations and AWS services as secondary responsibilities.

Provide 2nd-level production support and troubleshooting for enterprise web applications, gather performance metrics, perform deployments and server builds, participate in on-call rotations, identify process improvements, evaluate tooling, and oversee small projects.

Design, implement, and optimize Apache DolphinScheduler workflows and ETL pipelines. Integrate with Hadoop, Spark, Flink, Hive, and Kafka. Develop custom plugins, troubleshoot performance and scalability issues, monitor job execution and resource allocation, and maintain CI/CD, version control, and infrastructure automation while collaborating with data engineers and DevOps teams.

Design, build, and maintain high-scale, high-reliability backend services. Collaborate with cross-geo engineering and design teams, implement best engineering practices, build platform capabilities, write automated tests, and participate in technical reviews and demos.

Design, build, and optimize PySpark applications and ETL pipelines to process large-scale datasets from relational, NoSQL, file, and streaming sources. Ensure data quality, implement error handling, and collaborate with analysts, scientists, and architects to deliver performant data solutions.

Manual QA role focused on API and microservices testing using Postman. Requires programming exposure (Java, Python, JavaScript), strong scenario-thinking, quick learning, teamwork, and optionally mobile testing experience.

Develop Python-based APIs (FastAPI), design and maintain backend services on AWS (EC2, S3, Lambda, RDS), manage relational databases and SQL performance tuning, and work within an Agile development environment.

Design, build, and maintain full‑stack web applications. Implement front‑end UIs and back‑end services, integrate APIs, ensure performance and responsiveness, participate in code reviews, testing, deployment, and cross‑functional collaboration.

Design, develop, and execute automated test scripts (UI and functional) using Java/Selenium and Python. Build and maintain automation frameworks, write test scenarios/cases, and validate complex SQL queries across Oracle/Postgres. Use Unix/shell scripts, JIRA, and Agile processes; reverse-engineer existing applications, analyze results, and report defects. Collaborate with developers to ensure quality and performance; optionally work with PowerBI, Snowflake, and performance testing.

Develop cloud-native applications in Python using OOP. Leverage Python ML libraries (NumPy, Pandas, scikit-learn, TensorFlow) and AWS services (S3, RDS, CloudFormation, SNS, SQS, Step Functions, EventBridge, CloudWatch).

Develop and maintain backend services using Java and Spring Boot, deploy and operate applications on AWS (EKS), implement CI/CD with Jenkins, and collaborate on frontend work with React/Angular and Python integrations.

Design, build, and execute automated tests using Selenium, Java, Cucumber/BDD and Python. Perform API and functional testing, manage test artifacts in Git, JIRA, ALM, Zephyr, and work within Agile/SDLC processes. Collaborate and adapt to new technologies; prompt engineering is a plus.