Data Engineer II
Data Engineer II
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
You thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorgan Chase within the Asset & Wealth Management youare part of an agile team that works to enhance design and deliver the data collection storage access and analytics solutions in a secure stable and scalable way. As an emerging member of a data engineering team you execute data solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Enhance data protection controls to ensure the security and integrity of enterprise data.
- Customize and configure tools to meet specific business or customer requirements while providing guidance to peers on similar tasks
- Updates logical or physical data models based on new use cases with minimal supervision
- Utilize SQL extensively and maintain proficiency in NoSQL databases understanding their unique roles within the industry.
- Collaborate with crossfunctional teams to support datadriven decisionmaking processes.
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- 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 selecting appropriate tools and identifying relevant data patterns for comprehensive analysis.
- Experience implementing custom changes in tools to produce tailored data products.
Preferred qualifications capabilities and skills
- Knowledge of Data Mesh data modeling and domaindriven design
- Familiarity with ETL tools including Spark and Databricks.
Employment Type
Full-Time
