Lead ETL Data Engineer

Duties: Design business critical services, code and own what you build architecturally and operationally.

Design table structures and ETL strategy to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.

Document and publish Metadata and table designs to facilitate data adoption.

Perform ad hoc analysis as necessary.

Perform SQL and ETL tuning as necessary.

Develop Data Quality checks for source and target data sets.

Create and conduct project and architecture design review.

Create POC when necessary to test new approaches.

Design and build modern data management solutions.

Partner with team leads to identify, design and implement internal process improvements.

Automate manual processes, optimize data delivery, understand when to re-design architecture for greater scalability.

Coach and mentor team members to help them improve their designs and ETL processes.

Requires a Bachelor's degree in Computer Science, Data Science, Business Analytics, or related field; plus 3 years of Data Engineer, Data Analyst or related experience.

Requires 3 years of experience in the following: 1) Business key performance indicators in data warehousing environments; 2) Data modeling principles including Dimensional modeling and data normalization principles; 3) Analytic SQL; 4) Traditional relational databases or distributed systems; 5) Programming languages; 6) SQL Engines; and 7) Data exploration and data visualization tools.

$93,226 to $130,000 per year.

Must also have authority to work permanently in the U.S.

Applicants who are interested in this position may apply to jobpostingtoday.

com Ref# 51715