JM
Data Engineer III
JP Morgan Chase & Co.
India · On-site Full-time Senior Today
About the role
About
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III at JPMorgan Chase within the Corporate & Investment Bank, 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.
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
- Requires main skills in PySpark, SparkSQL, Databricks, AWS, etc.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on Data Engineering concepts and 3+ years applied experience
- 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
Preferred Qualifications, Capabilities, and Skills
(No specific items listed)
Requirements
- Formal training or certification on Data Engineering concepts and 3+ years applied experience
- 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
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
Skills
AWSData BricksNoSQLPysparkSQLSparkSQL
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