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 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.
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
Require main skills in Pyspark SparkSQL Data Bricks 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
Required Experience:
IC
DescriptionBe 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 Corporate & Investment Bank you serve as a seasoned member of an agile team to design and deliver trusted data collection storage access...
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 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.
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
Require main skills in Pyspark SparkSQL Data Bricks 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
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov
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