Job Description

General Summary:

The Data Engineering Lead is responsible for the development and execution of data solutions that support product and technology initiatives including general application development activities, such as unit testing, code review, code deployment and technical documentation. This role also collaborates with Product and Engineering teams to design solutions and enable new data capabilities.

Key Responsibilities

Lead and contribute to backend and ETL development effort of our data platform.
Lead and provide hands-on new development as well as enhancement of existing data processes
Design, maintain, and tune extraction, transformation, and load (ETL) processes using PL/SQL, SQL, Python, or Spark
Provide architectural guidance and development/build standards for the team
Promote collaboration through activities including design sessions, design reviews, and pair programming, etcetera

KEY DUTIES

Develop and maintain data engineering solutions for the enterprise data platform
Analyze business requirements and work with teammates to formulate supporting design and design documentation
Other duties as assigned

KEY COMPETENCIES

Thorough understanding of, and support for, Agile development methodologies
Ability to design, collect, and analyze large datasets
Ability to communicate technical concepts and designs to cross-functional and offshore teams who have varying levels of technical experience
Proven data engineering, problem solving, and analysis skills
Strong demonstrable SQL and Python skills
High-level written and verbal communication skills
Ability to think strategically
Ability to adapt to changing conditions and lead others through change
Analytical and problem-solving ability and orientation
Demonstrated organizational, prioritization, and time management skills
Attention to detail
Ability and willingness to travel nationally to remote offices and partners approximately 10% of the time

Required Education, Certifications, and Experience

Bachelor’s degree in Computer Science, Mathematics, or Statistics
5+ years of experience of ETL development in a big data environment
5+ years working in an agile development environment
Technical writing experience in relevant areas, including queries, reports, and presentations