JPMorgan Chase is looking for a Software Engineer III to design and deliver trusted market-leading technology products in a secure, stable, and scalable way, supporting critical technology solutions across various business functions.
Requirements
- Experience across the data lifecycle
- Experience working with modern Lakehouse : Databricks , Glue )
- Proficient in SQL coding (e.g., joins and aggregations)
- Experience in Micro service based component using ECS or EKS
- Experience in building and optimizing data pipelines, architectures, and data sets ( Glue or Data bricks etl)
- Proficient in object-oriented and object function scripting languages (Python etc.)
- Experience in developing ETL process and workflows for streaming data from heterogeneous data sources ( Kafka)
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
- Implement best practices for data engineering, ensuring data quality, reliability, and performance
- Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
- Perform data extraction and implement complex data transformation logic to meet business requirements
- Monitor and executes data quality checks to proactively identify and address anomalies
- Deploy and manage containerized applications using Amazon ECS ( Kubernetes EKS).
- Implement data orchestration and workflow automation using AWS step , Event Bridge
Other
- Formal training or certification on Software / Data Engineering concepts and 3+ years applied experience
- Strong analytical and problem-solving skills, with attention to detail.
- Ability to work independently and collaboratively in a team environment.
- A proactive approach to learning and adapting to new technologies and methodologies.
