Top Python Developer Jobs in Delhi

Design and build enterprise data solutions and data warehouses; develop ETL/ELT pipelines; perform data modeling for OLTP/OLAP and NoSQL; implement CI/CD, containerization, cloud services (AWS/Azure); analyze large and unstructured datasets; collaborate with cross-functional teams and mentor junior engineers.

Design and execute performance test strategies and scripts, monitor metrics and logs, triage defects, identify bottlenecks and tuning actions, administer Linux/AWS systems, build monitoring tools, participate in on-call support.

Lead and maintain Oracle databases on-premises and in AWS (RDS/EC2). Perform PL/SQL development, database performance tuning, backup/recovery, and automation; Python scripting is a plus.

Design, build and maintain cloud-oriented big data solutions for ingestion, processing, cleaning and exposition. Improve data quality, implement ETL and data-warehouse architectures, and collaborate with DDS/Data Foundation teams to ensure platform reliability.

Design, deploy, and maintain cloud infrastructure and CI/CD for production systems. Provide production support, automate tasks with scripting and IaC, manage Workday releases, implement microservices/APIs, ensure security and access management, and collaborate with development teams to improve reliability.

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.

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.

Full-stack developer (6-9 years) building Angular front-ends and Python back-ends, designing and integrating REST APIs, and managing SQL databases. Collaborate on API development, deployment, and cloud/containerization (AWS/Kubernetes preferred).

Design, build, and maintain cloud data pipelines and streaming solutions using Java, Kafka, AWS services, SQL/warehouse technologies, and Python. Implement CI/CD, automated testing, and resilient microservice-based systems. Collaborate in a small agile team and ensure secure identity/authentication controls.

Perform ETL and data reconciliation testing including complex SQL creation, data comparison, and API testing. Design validation scenarios for data reconciliation. Python experience is a plus.

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 maintain AI platform and ML pipelines by assembling LLMs and agentic workflows, integrating assistants with systems, prototyping in low-code and code, writing tests and CI/CD, and iterating with stakeholders on domusAI, domiAI, domusDocs and multi-agent frameworks.

Design, develop, and optimize PL/SQL artifacts and Python ETL scripts; tune SQL and Oracle performance; ensure data integrity and availability; integrate systems via APIs; support production deployments and monitoring; collaborate with engineers and analysts; administer Oracle and PostgreSQL; use GitLab and Jira for version control and tracking.

Design, develop, test, deploy and optimize RPA bots using Automation Anywhere. Collaborate with analysts and stakeholders to identify automation opportunities, integrate with APIs and databases, ensure robust error handling, follow Agile practices, troubleshoot production issues, and maintain reusable automation components. Leverage AI/ML, process mining, and other RPA tools to improve performance and deployment security.

Senior QA responsible for automation and manual testing on Windows and macOS, designing and executing test cases, tracking and reporting bugs, and building E2E BDD/TDD test frameworks using Java/Selenium/TestNG and Python/PyWinAuto. Uses Git/Bitbucket, JIRA/XRay; supports API, mobile automation, performance testing and CI/CD integration.

Develop and maintain data pipelines and applications using Python and Pandas, apply OOP and data structures, write and optimize SQL, and communicate with stakeholders. Familiarity with Agile, DevOps/CI-CD tools (Jenkins, Git, Jira), AWS, web frameworks (Django/Flask), and Snowflake is a plus.

Build and deploy production-grade generative AI applications: design multi-agent systems and LangGraph workflows, implement advanced RAG with vector DBs, fine-tune and host LLMs, develop scalable FastAPI backends, optimize latency/cost, and containerize services for production.

Design, build, and operate cloud-native infrastructure and APIs on AWS. Implement IaC, CI/CD, Kubernetes (including rehydration), observability, monitoring, and chaos testing. Automate with scripting, triage incidents, perform root-cause analysis, and provide on-call support while collaborating across teams.

Design, build, and maintain scalable data ingestion and transformation pipelines (SQL Server and vendor APIs) in Databricks/Spark using Python and SQL. Ensure accuracy, lineage, observability, fault tolerance, and production operability of canonical accounting datasets; implement data quality checks and troubleshoot failures.

Senior software engineer responsible for automation and scripting across AWS (CLI/SDKs, Boto3), Groovy, CI/CD pipelines, CloudFormation, ML automation, and hands-on AWS services (EC2, S3, RDS, Lambda). Database background is a plus.

Design, develop, and maintain automated validation suites across web, mainframe, API, desktop, file, and email workflows. Build and enhance automation frameworks, integrate LLM/GenAI capabilities for test generation and failure analysis, and validate core banking and payments functionality. Collaborate in Agile/Scrum environments, owning test architecture and automation delivery.

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.

Design, build, and maintain platform frameworks, APIs, CI/CD pipelines and cloud deployments (primarily Java/Spring Boot) on AWS. Collaborate with many development teams, ensure service ownership, and deliver production-grade microservices and infrastructure automation.

Design and document scalable, secure technical architectures; provide technical leadership and mentorship; translate business requirements into solutions; evaluate emerging technologies; define governance and best practices; support projects and troubleshoot complex technical issues throughout the lifecycle.

Lead and mentor the QA team; design and execute manual and automated test plans; track defects to resolution; improve QA processes; manage tools, environments, and reporting; collaborate with development and stakeholders.