at J.P. Morgan
Bulge Bracket Investment BanksPosted 13 days ago
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**Data Engineer III - Pyspark/Databricks/Mongo/SQL/Python** Mid-senior level Data Engineer to design and deliver secure, stable, and scalable data collection & analytics solutions. Key responsibilities include maintaining critical data pipelines, configuring tools for business requests, updating data models, and assuring data protection controls. Required skills: 5+ years in Data Engineering, SQL expertise, NoSQL understanding (Mongo), ETL experience, statistical data analysis, and tool customization. Preferred skills: experience with Pyspark, Databricks, AWS services (ECS, Lambdas, EKS). Join JPMorganChase's dynamic team in Jersey City, NJ.
- Compensation
- Not specified USD
- City
- Jersey City
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: Jersey City, NJ, United States
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
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
- 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 NoSQL 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, Lambdas and EKS services.
- Exposure to Java and Mongo is a plus.
