Data Engineer & Analyst - Dataiku
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This role is a Data Engineer & Analyst - Dataiku, remote contract position requiring expertise in PL/SQL, Python, AWS Redshift, and Spotfire. Key responsibilities include enhancing data engineering flows and rebuilding pipelines for the Turbine Airfoils business unit.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Spotfire #Redshift #Visualization #Dataiku #Data Engineering #AWS Glue #Python #Snowflake #Statistics #Data Pipeline #SQL (Structured Query Language) #Data Wrangling #Consulting #"ETL (Extract #Transform #Load)"
Role description
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Role: Data Engineer & Analyst - Dataiku
Location Remote
Contract
Position Description:
• Maintain and enhance data engineering flows for Turbine Airfoils business unit projects.
• Rebuild outdated data pipelines supporting Turbine Airfoils reporting in collaboration with analysts and data engineers.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.
• Potential travel to sites as needed.
• Learn additional data transformation/orchestration tools/products (e.g., AWS Glue, Snowflake) and visualization tools/products (e.g., AWS Quicksight) as business standards shift.
Requirements:
• PL/SQL
• Dataiku (Exposure to other data transformation/orchestration platforms is a plus)
• Python
• AWS Redshift
• Spotfire
• Basic Statistics
On/Offshore:
• On-Shore: EC Data, potential exposure to more restricted data
