Data Engineer III - AWS, Spark & Databricks

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 Employee Platforms, you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable.

Your responsibilities will include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

Builds data processing pipeline and deploys applications in production

Creates and updates logical or physical data models based on new use cases

Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request

Frequently uses SQL and understands NoSQL databases and their niche in the marketplace

Supports review of controls to ensure sufficient protection of enterprise data

Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on data engineering concepts and 3+ years applied experience

End to end understanding and hands on experience with Data Pipeline Processing

Create LDM and PDM for DataLake Applications

Technically competent in Databricks, AWS & Spark

Programming experience in Python or Java

Experience across the data lifecycle and Advanced at SQL (., joins and aggregations) along with 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

Strong attention to detail with the ability to review complex information thoroughly and ensure accuracy in all deliverables

Proven ability to deliver high-quality outputs on time and within scope

Keen interest in Problem Solving and a positive attitude

Preferred qualifications, capabilities, and skills

Engineering Degree in Computer Science