84.51° needs a Lead Data Engineer to design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud, ultimately powering customer personalization at scale for The Kroger Co.
Requirements
- 5+ years proven ability of professional data development experience
- 5+ years proven ability of developing with Spark (Databricks, PySpark)
- Full understanding of ETL concepts and data warehousing concepts
- 3+ year developing experience with Python
- 1+ year developing experience with REST APIs
- 1+ year experience with Kubernetes
- Strong understanding of Agile Principles (Scrum)
Responsibilities
- Lead design and development of Databricks-based solutions
- Perform development of REST APIs hosted in Kubernetes
- Execute unit and integration testing
- Develop Business Domain understanding, bridges this to technical stakeholders
- Sets technical strategy in partnership with Data Science, Product, Architecture, and Kroger partners
- Oversees team(s) of Engineers including operations and development, blended Offshore/Onshore
- Provide mentoring to junior resources
Other
- Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
- Communication and Collaboration with Product and Data science are critical to success and are expected for this role to be successful.
- Bring new perspectives to problems and be driven to improve yourself and the way things are done
- Hybrid work environment.
- Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.
