Top Python Developer Jobs in Delhi

Design, build, and maintain cloud data pipelines and architectures using SQL, Python, Snowflake, and AWS. Implement CI/CD for data workflows, use developer assistance tools, and collaborate across teams to deliver reliable data solutions.

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, implement, and maintain CI/CD pipelines, cloud infrastructure, IaC, containerization and orchestration. Automate provisioning, monitor performance and security, collaborate with dev and ops to troubleshoot deployments, and improve system reliability and scalability.

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.

Lead L2/L3 production support and SRE activities for Manhattan WMOS, troubleshoot critical issues, design scalable WMS integrations, implement monitoring/alerting, manage vendors, run DR drills, and mentor engineers to ensure high availability and efficient warehouse operations.

Develop and maintain Python-based APIs (FastAPI), work with core AWS services (EC2, S3, Lambda, RDS), manage relational databases and SQL performance tuning, and collaborate in an Agile environment.

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.

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.

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.

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.

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, 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, implement, and manage GCP infrastructure using Terraform. Architect compute, storage, networking, Vertex AI integrations, and BigQuery storage. Integrate Wiz for continuous security, implement Policies as Code, automate tooling and scripts, and ensure security and compliance while collaborating with cross-functional teams.

DevOps engineer role in Bangalore requiring 3-5 years' experience building automation and infrastructure: Python, Ansible/AWX, shell scripting, Linux, ITSM, AWS, and YAML. Work likely includes CI/CD, configuration management, automation, and collaborating with tooling like Git, Jira, containers, and cloud platforms.

Develop and customize ServiceNow solutions (UI, workflows, scripting) using JavaScript, Angular and Python. Integrate via REST APIs and leverage AWS/Azure services. Collaborate with India and onsite partner teams, provide technical support, and maintain strong communication and customer empathy.

Perform data migration/refresh from production, support Python-based data refresh framework, run post-migration fixes, validate and reconcile data, monitor and resolve batch jobs and pipeline issues, perform performance checks, and coordinate with dependent teams.

Manage CyberArk privileged accounts and safes, provision/deprovision users, perform daily maintenance and monitoring, troubleshoot AD integrations, produce documentation and reports, collaborate with IT/security teams, provide user support and training, and identify automation and process improvements.

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.

Deploy, monitor, and maintain AWS infrastructure (EC2, S3, RDS, VPC, IAM, CloudWatch). Support CI/CD pipelines and automation, implement security/access controls, troubleshoot issues, and assist with cloud migration and optimization.

Design, develop, and maintain automated validation suites across web, mainframe, API, desktop, file-based, and email workflows. Build and enhance automation frameworks using Java, Python, JavaScript and tools like Selenium, Playwright, Cypress, REST Assured. Integrate LLM/GenAI capabilities for test generation, failure analysis, and automated data creation. Validate core banking and payments flows and collaborate in Agile/Scrum teams to drive test architecture and quality.

Senior/principal software engineer responsible for designing and developing Oracle PL/SQL stored procedures, SnapLogic integration pipelines, SQL performance tuning, AWS-based deployments, code reviews, release planning, and ensuring performance, scalability, resiliency, and security across data solutions.

Lead and mentor a development team, define architecture, implement and deploy scalable software, enforce coding standards and best practices, drive Agile processes, perform code reviews, troubleshoot issues, and collaborate with product, design, and QA stakeholders.

Build and maintain RESTful APIs using Python and Flask. Deploy and operate applications on AWS (CloudFormation, Lambda, EC2, S3, IAM, KMS, CloudWatch). Containerize services with Docker and deploy to Kubernetes (EKS). Implement CI/CD using Jenkins, integrate code quality tools (Sonar) and source control (GitHub).

Develop, test, and maintain Linux SAS solutions; analyze complex systems; follow coding standards; produce documentation; interact with onshore/business partners; manage projects using Agile/Scrum; ensure quality and compliance.

Design, build and operate scalable cloud-friendly full‑stack systems using Python, Go and JavaScript. Develop RESTful services, CI/CD pipelines, automation (Chef/Ansible), and deploy on AWS. Work in Agile/DevOps teams, apply testing practices (unit, integration, TDD), and collaborate across environments (Linux/Windows).