Data Engineer II

JPMorganChase is one of the oldest financial institutions offering innovative financial solutions to millions of consumers, small businesses and prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
Finance

Description For Data Engineer II

JPMorgan Chase is seeking a Data Engineer II to join their Asset & Wealth Management team in Bengaluru. This role is perfect for someone with 2+ years of experience who wants to work with one of the world's leading financial institutions.

As a Data Engineer II, you'll be part of an agile team focused on enhancing, designing, and delivering data solutions. You'll work on data collection, storage, access, and analytics solutions while ensuring security, stability, and scalability. This is an excellent opportunity to grow your career while working with cutting-edge data technologies.

The role involves working with both SQL and NoSQL databases, implementing data protection controls, and collaborating with cross-functional teams. You'll be responsible for updating data models, customizing tools, and contributing to data-driven decision-making processes.

JPMorgan Chase offers a diverse and inclusive work environment, with a rich history spanning over 200 years. The Asset & Wealth Management division delivers industry-leading investment management and private banking solutions to individuals, advisors, and institutions globally.

This position offers the chance to work with a team that values diversity, creativity, and innovation while making a lasting impact in the financial services industry. You'll have the opportunity to grow your skills while working on complex data engineering challenges in a supportive environment.

Last updated 9 days ago

Responsibilities For Data Engineer II

  • Enhance data protection controls to ensure the security and integrity of enterprise data
  • Customize and configure tools to meet specific business or customer requirements
  • Updates logical or physical data models based on new use cases with minimal supervision
  • Utilize SQL extensively and maintain proficiency in NoSQL databases
  • Collaborate with cross-functional teams to support data-driven decision-making processes
  • Adds to team culture of diversity, equity, inclusion, and respect

Requirements For Data Engineer II

MongoDB
  • Formal training or certification on data engineering concepts and 2+ years applied experience
  • Basic knowledge of the data lifecycle and data management functions
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of NoSQL databases
  • Demonstrated ability in statistical data analysis
  • Experience implementing custom changes in tools to produce tailored data products

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