Lead Data Engineer (P1952)
Tasks
- Build and transform big data on Azure
- Create REST APIs
- Deploy and run APIs in Kubernetes
- Design and implement data ingestion solutions
- Develop Databricks based solutions
- Develop ETL pipelines
- Distribute data for customer personalization
- Execute unit testing and integration testing
- Lead Agile development delivery
- Provide engineering mentoring
- Store and manage data for warehousing
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Health savings account
- Life and disability insurance
- Paid time off
- Vision insurance
- Wellness days
Skills/Tech-stack
Agile | Azure | Data Warehousing | Databricks | ETL | JSON | Kubernetes | PySpark | Python | REST APIs | SQL | Scrum | Spark
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Business Analytics | Bachelor of Science in Computer Science | Bachelor of Science in Management Information Systems | Bachelor of Science in Mathematics
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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