Description
As a Software Engineer II at JPMorgan Chase within Consumer and Community Banking you will design, build, and optimize scalable data pipelines and architectures on AWS, leveraging Data Lake, Snowflake, and distributed processing technologies.
Job Responsibilities
- Design, build, and maintain scalable AWS-based data pipelines and ETL/ELT processes (e.g., S3, Glue, Lambda, Redshift) using Python and Apache Spark (PySpark).
- Architect and implement Data Lake solutions to enable efficient data ingestion, storage, cataloging, and retrieval.
- Integrate, manage, and optimize Snowflake environments for enterprise data warehousing and analytics.
- Develop and optimize distributed data processing workflows in Spark, focusing on performance, reliability, and cost efficiency.
- Partner with AI/ML teams to enable data-driven solutions, including feature engineering support and data enablement for model deployment.
- Ensure data quality, governance, and security across platforms (controls, auditing, compliance) and maintain strong documentation/runbooks.




- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
- Monitor, troubleshoot, and automate operations for data pipelines and infrastructure; leverage approved AI coding assistants (e.g., Copilot; others subject to JPMorganChase approval) to improve developer productivity and code quality.
Required qualifications, capabilities and skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of skilled experien

📌 Software Engineer II (Hyderabad)
🏢 JPMorganChase
📍 Hyderabad