Data Engineer III - AWS, Python/Java, Spark
JPMorganChase
Software Engineering, Data Science
Hyderabad, Telangana, India
Posted on Sep 17, 2025
Data Engineer III - AWS, Python/Java, Spark
Hyderabad, Telangana, India
Job Information
- Job Identification 210664682
- Job Category Data Engineering
- Business Unit Consumer & Community Banking
- Posting Date 17/09/2025, 11:28 am
- Locations MAGMA,UNIT-1,PHASE-IV,SY NO.83/1,PLOT NO 2, GR Floor TO 2 Floor and 5 Floor TO 16 Floor,Basement 1,2, Hyderabad, IN-TG, 500081, IN
- Apply Before 22/09/2025, 09:30 am
- Job Schedule Full time
Job Description
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III at JPMorganChase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Supports review of controls to ensure sufficient protection of enterprise data
- Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
- Updates logical or physical data models based on new use cases
- Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience across the data lifecycle
- Must have experience in AWS cloud Python/Spark and Java
- Advanced at SQL (e.g., joins and aggregations)
- Working understanding of NoSQL databases
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
- Experience customizing changes in a tool to generate product
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