Data Engineer

Maintain and enhance data engineering flows for the Turbine Airfoils business unit Projects.
Rebuild outdated data pipelines supporting the Turbine Airfoils reporting in collaboration with Analysts and Data Engineers.
Define Data Engineering and visualization requirements across multiple projects.
Perform Data engineering in Python and Redshift SQL within a Dataiku environment.
Develop Spotfire visualizations and additional Data engineering as needed.
Offer consulting and training to users of developed reports and those performing their own data wrangling.
Potentials travel to the site as needed.
Learn additional data transformation/orchestration tools/products (e.g., AWS Glue, Snowflake) and visualization tools/products (e.g., AWS QuickSight).
Requirements:
PL/SQL
Dataiku ( Exposure to other data transformation/orchestration is a plus)
Python
AWS Redshift
Spotfire
Basic Statistics