Data Engineer responsible for creating analytical data infrastructure at Safe-Guard Products International. Collaborating with teams to gather and model data for analytics with top automotive clients.
Responsibilities
Serve as the technical expert for creating Safe-Guard’s analytical data infrastructure.
Develop extensive ETL processes to take data from across different systems and bring them into centralized data models.
Develop and implement automated data quality control processes.
The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.
Requirements
4+ years working in data or analytics role.
Extensive experience in data modeling and data infrastructure.
B.S. in mathematics, computer science, statistics, engineering, or equivalent.
M.S. in mathematics, computer science, statistics, engineering, or equivalent (preferred).
Expert proficiency in SQL, Python, and Git.
Experience using common data orchestration tools such as dbt and Airflow.
Working knowledge of common database platforms such as Snowflake, Postgres, and AWS.
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