Software Engineer III - Python, Spark, AWS, Glue, ETL ,PostgreSQL
at J.P. Morgan
Posted 15 days ago
No clicks
Senior software engineer role on JPMorgan Chase's Consumer and Community Banking - JP Wealth Management team responsible for designing, developing and operating production-grade data and software solutions. The position focuses on building ETL and data processing pipelines using Python, PySpark and AWS Glue, integrating ML models, and ensuring scalable, secure data architectures. The engineer will produce architecture and design artifacts, analyze large datasets to drive improvements, and contribute to engineering communities of practice. Strong emphasis on system design, code quality, CI/CD, and operational stability.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking- JP Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Strong programming skills in Python.
- Hands-on experience with AWS Glue (ETL jobs, crawlers, workflows).
- Experience with PySpark and distributed data processing.
- Familiarity with AWS services: S3, Lambda, Redshift, Athena, Step Functions.
- Experience integrating AI/ML models (SageMaker or custom models) into data pipelines.
- Understanding of data modeling, data warehousing, and data lake architectures.
- Experience with version control (Git) and CI/CD pipelines.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
