What You'll Do
Design, develop, and maintain data pipelines using Databricks and PySpark. Work with Data Lake environments and modern data engineering practices. Develop data ingestion, transformation, and processing workflows. Integrate data from different sources and databases.
What We're Looking For
Professional experience in Data Engineering. Hands-on experience with Databricks and PySpark. Solid understanding of Data Lake concepts and data processing. Knowledge of Python and experience with Azure.
Key Skills & Technologies
Additional Information
Experience Level
Mid-Level
Job Language
English
Employment Type
Full-time
Work Mode
Remote