Top Python Developer Jobs in Delhi

Lead design and development of scalable Python backend systems and microservices. Architect solutions, mentor developers, ensure performance, collaborate with DevOps for deployments, troubleshoot production, and recommend tools and best practices.

Mainframe developer responsible for converting, auditing, validating, reconciling and loading SPS plan conversion data. Work includes requirement analysis, development in COBOL/DB2/JCL/VSAM/REXX/Python, peer review, testing, and close collaboration with project stakeholders.

Develop backend solutions using Python and SQL, leveraging libraries like Pandas. Apply object-oriented design and data structures. Collaborate and communicate effectively; familiarity with Agile, DevOps/CI-CD, AWS, web frameworks, and Snowflake is desirable.

Design, configure, and support backend software and APIs; manage configuration files and environments; test and document API endpoints; collaborate on system data flow; participate in large-scale live data migrations (billions of records) into FinCloud; produce documentation and troubleshooting guides; work in agile teams and support integration and observability efforts.

Design and implement end-to-end machine learning solutions: analyze use cases, build statistical and ML models, prepare and enrich data, implement scalable PySpark models in Databricks, and collaborate with product and engineering to productionize analytics for personalization and business insights.

Design, develop, and coordinate end-to-end solutions with architects and tech leads. Support product release activities (development, QA, deployment), installation and post-install support. Troubleshoot, perform unit testing, support UAT, and document. Build solutions using PL/SQL, Snowflake, Python, AWS, Control-M, serverless frameworks, and relational databases.

Develop and maintain backend services using Python and Go, automate configuration with Ansible, implement CI/CD with Jenkins, deploy on Linux/Windows, use Dev Assist tools (GitHub Copilot), work in Agile/DevOps environments, and apply testing frameworks (unit/integration/TDD).

Build and automate data validation and reconciliation tests for ETL pipelines and data warehouses. Write and optimize complex SQL, investigate data discrepancies, design ETL test strategies, and implement automated testing frameworks to ensure data integrity.

Senior SDET responsible for ETL/Big Data manual and automation testing, validating data migrations between SQL/Oracle and modern databases (Snowflake/Postgres), building automation frameworks to compare APIs, JSON/files and RDBMS, writing SQL/Python/PySpark tests, implementing CI/CD pipelines, and working with AWS S3, Minio, Airflow, Tableau/SuperSet and Jira. Financial domain experience preferred.

Join the Event Streaming and Data Replication platform as a Data Engineer to design, build, and operate cloud-native data platforms. Work with Airflow, Spark, Kubernetes, and Python; deploy containerized apps on AWS/Azure; use IaC (Terraform/CFT/ARM); implement CI/CD (GitHub, Artifactory, Jenkins); configure monitoring and alerts; and collaborate across teams to deliver highly available, scalable solutions.

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.

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.

Design, implement, and maintain on-prem and cloud IT infrastructure; develop automation scripts and Java-based utilities/APIs; support AWS/Azure/GCP provisioning and monitoring; collaborate on CI/CD and containerized deployments; ensure security, patch management, performance optimization, and incident/change/problem management.

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.

Develop and maintain ServiceNow solutions including scripting, UI customization, workflows and REST API integrations. Collaborate with India and onsite partner teams, leverage JavaScript/Angular/Python and cloud services (AWS/Azure), provide customer-focused support and continuous system improvements.

Design, develop, and maintain NestJS applications in an Agile/Scrum environment. Build front-end functionality with AngularJS and automate tasks with Python scripting. Implement AWS cloud solutions (SQS, Lambda, Kinesis), design versioned APIs and microservices, and work with PostgreSQL and NoSQL datastores. Employ DevOps, CI/CD and automated testing (Jenkins, Maven, uDeploy, Stash). Collaborate across global teams and mentor junior engineers.

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.

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 manage CI/CD pipelines, operate cloud infrastructure (AWS/PaaS), containerize applications with Docker, write automation in Python/C#/Scala/PLSQL, apply Agile/SCRUM practices, use pipeline-as-code, work with messaging frameworks, mentor junior engineers, and document technical decisions.

Senior-level data scientist to build and maintain data solutions using Snowflake, Python, and AWS (S3). Responsibilities include DevOps/Control-M integration, data modeling, problem solving, independent work, and clear communication; financial domain knowledge is a plus.

Design, build, and maintain cloud platform infrastructure and CI/CD pipelines using IaC and automation. Support production environments, troubleshoot incidents, monitor with Splunk/AppDynamics, work with containers, Kubernetes, Terraform, Ansible, and collaborate with scrum teams and vendors.

QA Engineer responsible for ETL testing using SQL/PLSQL and ETL tools. Requires Python and basic cloud knowledge. Automation/UI testing (e.g., Playwright) is a plus.

Provide application support for cloud-hosted systems including log analysis, file transfer, incident management, CI/CD automation, and scripting. Use AWS, Kubernetes, Datadog, CI/CD tools, SQL and shell/Perl/Python to troubleshoot, automate, and maintain deployments. Collaborate with teams, follow ITIL processes, and support delivery in a fast-paced environment.

Design, build, and maintain ELT/data pipelines and workflow orchestration using Airflow, Python, and PySpark. Develop custom connectors to ingest diverse data, implement DataOps and data CI/CD pipelines, monitor and troubleshoot pipelines, validate data quality, collaborate with cross-functional teams, document workflows, and work with large-scale distributed datasets and visualization tools.

Senior Business Analyst who gathers and documents requirements, creates epics and user stories, develops functional specifications and AS-IS/TO-BE process flows, supports testing (SIT/UAT), partners with development teams, manages requirement changes, leads BA team activities, and facilitates implementation via training and documentation.