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Bulge Bracket Investment Banks
Data Engineer III
at J.P. Morgan
Mid LevelNo visa sponsorshipData Engineering
Posted 18 days ago
No clicks
- Compensation
- Not specified
- City
- Hyderabad
- Country
- India
Currency: Not specified
Senior member of an agile data engineering team responsible for designing and delivering secure, scalable data collection, storage, access, and analytics solutions. Develops, tests, and maintains critical data pipelines and architectures across multiple technical areas to support business objectives. Works with SQL/NoSQL, PySpark, Ab Initio, Snowflake and AWS, and contributes to data controls, models, and tool customizations.
Location: Hyderabad, Telangana, India
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 - Data Technology, 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 experienceDevelop, test, and maintain critical data pipelines and architectures across multiple technical areas
- Experience across the data lifecycle
- 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
- PySpark , Abinitio , Snowflake and AWS
