Description
You will maintain and enhance data engineering flows and rebuild outdated pipelines for the Turbine Airfoils business unit.
Responsibilities
- Rebuild outdated data pipelines in collaboration with Analysts and Data Engineers.
- Define data engineering and visualization requirements across multiple projects.
- Perform data engineering tasks using Python and Redshift SQL within a Dataiku environment.
- Develop Spotfire visualizations and perform additional data engineering as required.
- Provide consulting and training to report users and staff performing data wrangling.
Required Skills
- 5+ years of experience in data engineering roles.
- Proficiency in Python.
- Strong SQL and PL/SQL skills.
- Experience with AWS Redshift.
- Experience using Dataiku.
- Experience with Spotfire.
- Knowledge of basic statistics.
- Ability to travel to site as needed.
Preferred Skills
- Exposure to AWS Glue or Snowflake.
- Experience with AWS QuickSight.