Software Engineer III – Data Engineering (PostgreSQL, Python, AWS)

Software Engineer III – Data Engineering (PostgreSQL, Python, AWS) – India Join JPMorgan Chase’s Asset & Wealth Management Technology team to build a high‑performance research data platform that powers back‑testing, simulations, machine learning and advanced analytics. You’ll design scalable cloud solutions, automate data pipelines, and support quant researchers in a fast‑moving, AI‑enabled environment. What You’ll Do Build cloud‑native data solutions on AWS for quantitative research workloads. Design, schedule, and monitor ETL/ELT pipelines using Airflow or similar tools. Load and integrate data from vendor feeds and internal sources into data lakes. Automate platform scalability and reliability with scripting and orchestration. Perform regular performance testing, troubleshoot issues, and roll out new features. Provide Level‑2 support for data systems to internal stakeholder teams. Leverage enterprise‑approved AI coding assistants to boost code quality and delivery speed. What You Need 3+ years of hands‑on software engineering experience; B.Tech/B.E. in CS/IT or related field. Advanced SQL expertise; strong work with PostgreSQL, AWS RDS, S3, Lambda, Secrets Manager. Proficient in Python, Pandas/Polars, NumPy, and object‑oriented design. Experience with Spark, EMR, and data‑lake formats (Iceberg/Delta). Solid background in Agile Scrum, CI/CD pipelines, and database performance tuning. Familiarity with Airflow (or comparable orchestrator) and Linux/Docker environments. Proven use of AI‑assisted development tools, with rigorous validation of generated code. Good to Have Experience with DuckDB and PostgreSQL‑specific optimizations. AWS certifications or exposure to financial market data and trading applications. Knowledge of Jira for Agile workflow management. The Opportunity You’ll be part