Data Engineer III Pyspark​/databricks​/Mongo​/Sql​/Python

Overview

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 External Reporting and Finance Control team within Corporate 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.

• 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 No
  
  SQL databases and their niche in the marketplace
• Adds to team culture of diversity, opportunity, inclusion, and respect

• 5+ years of experience in Data Engineering and ETL use cases
• Experience across the data lifecycle
• Advanced at SQL (e.g., joins and aggregations)
• Working understanding of No
  
  SQL databases such as Mongo
• 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

• Hands on experience in PySpark and Databricks and AWS Services such as ECS, Lambda and EKS services.
• Exposure to Java and Mongo is a plus.