Key skills
AWSAzureCloudETLPySparkPythonSQLELTData EngineeringDatabricksGitCI/CD
About this role
Role Overview
- Design, build, and operate batch and streaming data pipelines on modern cloud data platforms
- Develop robust ETL/ELT processes using SQL, Python, and PySpark
- Partner with analysts and data scientists to deliver trusted, production-grade data assets
- Lead the implementation and evolution of data governance practices
Requirements
- Bachelor’s degree AND 5+ years of experience in data engineering or data platform engineering in a production environment
- SQL and hands-on experience with Python and PySpark
- Experience in data engineering on at least one major cloud or data platform (Azure, AWS, Databricks, or equivalent)
- Experience with Git-based development and CI/CD practices
- Experience with data governance concepts such as cataloging, lineage, data quality, and access control
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- PySpark
- Python
- SQL
Benefits
- Reasonable Accommodations are available for disabled veterans and individuals with disabilities
- Flexible work environment