Casey's generates data from various events (pizza delivery, gas purchases, etc.) and needs to use this data to generate insights, solve organizational challenges, and provide direction to decision-makers through cutting-edge technology for data collection, transformation, and analysis.
Requirements
- Strong proficiency in Python, PySpark and SQL
- Experience with Databricks, Snowflake, or other modern data platform
- Hands-on experience with Azure, including ADLS Gen2, Data Factory, Key Vault, and Function Apps (or other equivalent cloud technology)
- Experience implementing CI/CD and automated testing for a data team
- Comfort with a variety of data sources including APIs, streams, events, databases, files, etc.
- At least five (5) years* of experience designing and developing enterprise data solutions and integrations, ETL, data warehousing, data modeling (star schema, etc.)
- Familiarity with data governance concepts: data cataloging, tagging, handling sensitive data
Responsibilities
- Developing data ingestion and transformation frameworks
- Data modeling for analytics
- Developing data pipelines
- CI/CD
- Data platform performance/cost optimization
- Helping enhance our data platform architecture
- Performs thorough testing of data pipelines and data models to ensure data is accurate and pipelines are resilient and self-healing
Other
- This position requires authorization to work in the U.S. without the need for employment-based immigration sponsorship now or in the future.
- Casey’s will not provide sponsorship or employer support for applications or petitions for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1 CPT, F-1 OPT, J-1, or any other employment-based visa.
- This role does not allow for 100% remote work.
- Qualified out of state candidates must be willing to relocate and will need to live within a daily commutable distance of Casey's Store Support Center in Ankeny, IA and be willing to work onsite 5 days a week.
- Bachelor's degree in Computer Science, Data Analytics, Engineering, Information Technology, or equivalent years of related work experience.
