The Data Engineer II will enhance, design, and deliver data solutions, manage data access, and contribute to team culture, requiring 2+ years of applied experience.
Job Description
Join us for an exciting opportunity to advance your data engineering career and make a meaningful impact.
Job summary
As a Data Engineer II at JPMorgan Chase within the Consumer and Community Banking Risk team, you will collaborate in an agile environment to enhance, design, and deliver reliable data solutions that are secure, stable, and scalable. You will implement data solutions across various components while advancing your skills and experience to progress in your role.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
Join us for an exciting opportunity to advance your data engineering career and make a meaningful impact.
Job summary
As a Data Engineer II at JPMorgan Chase within the Consumer and Community Banking Risk team, you will collaborate in an agile environment to enhance, design, and deliver reliable data solutions that are secure, stable, and scalable. You will implement data solutions across various components while advancing your skills and experience to progress in your role.
Job responsibilities
- Organizes, updates, and maintains data to make it actionable for business needs
- Demonstrates knowledge of data system components to ensure secure data access
- Makes custom configuration changes in tools to generate products at business or customer request
- Updates logical or physical data models based on new use cases with minimal supervision
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Basic knowledge of the data lifecycle and data management functions
- Advanced proficiency in SQL, including joins and aggregations
- Working understanding of NoSQL databases
- Significant experience with statistical data analysis and ability to determine appropriate tools
- Basic knowledge of data system components to determine controls needed
Preferred qualifications, capabilities, and skills
- Experience working on agile project methodology
- Basic knowledge of data warehousing concepts
- Familiarity with Databricks
Top Skills
AWS
Databricks
Java
NoSQL
Python
Scala
Spark
SQL
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