Senior Data Engineer (DataBricks)
Summary
A senior data engineer who designs, builds, and maintains scalable ETL pipelines and data solutions on Databricks (Unity Catalog, Delta Live Tables, Auto Loader) using Python/PySpark, SQL, and Azure Data Factory, ensuring data quality and governance for enterprise reporting and analytics.
Design, develop, and maintain scalable data solutions that support enterprise reporting, analytics, and business decision-making.
Key responsibilities
Build and optimize ETL/data pipelines.
Develop data solutions using Databricks, Python, and SQL.
Ensure data quality and governance.
Collaborate with business and technical teams.
Qualifications:
Bachelor's degree in IT, Computer Science, Engineering, or related field.
5+ years of Data Engineering experience
Databricks (Unity Catalog, Delta Live Tables, Auto Loader).
Python/PySpark, SQL, Azure Data Factory.