JPMorgan Sr Lead Data Engineer 

United States, Delaware, Wilmington 

397064806

Job responsibilities

• Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data​​
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Defines database back-up, recovery, and archiving strategy
• Generates advanced data models for one or more teams using firm wide tooling, linear algebra, statistics, and geometrical algorithms
• Approves data analysis tools and processes​
• Creates functional and technical documentation supporting best practices​​
• Advises junior engineers and technologists
• Evaluates and reports on access control processes to determine effectiveness of data asset security​
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Data Engineering concepts and 5+ years applied experience
• Demonstrated leadership abilities, including leading and mentoring a team of data engineers.
• Expertise in designing and implementing scalable data architectures and pipelines.
• Strong proficiency in programming languages such as Python and PySpark.
• Experience with AWS cloud platform including their data services.
• In-depth knowledge of data warehousing solutions and ETL processes.
• Ability to work collaboratively with cross-functional teams, including data scientists, analysts, and business stakeholders.
• Experience with data governance and ensuring data quality and integrity.
• Familiarity with machine learning frameworks and integrating them into data pipelines.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical audiences.
• Experience with version control systems like Git and CI/CD pipelines for data engineering workflows.

Preferred qualifications, capabilities, and skills

• Experience with Data bricks
• Proficiency in Big Data technologies, with a strong focus on Performance Optimization using best practices
• Solid understanding of the Parquet file format.