Job Description
We are looking for an experienced Azure Databricks Engineer with strong hands-on expertise in Python, SQL, and Apache Spark to design, build, and optimize scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate should have experience working with large datasets, distributed data processing, analytics use cases, and modern data engineering practices.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Databricks
- Implement ETL/ELT workflows using PySpark, Spark SQL, and Python
- Implement pipelines for data ingestion using Azure Data Factory
- Optimize Spark jobs for performance, cost, and scalability
- Work with structured and semi-structured data (Parquet, Delta, JSON, CSV)
- Build and manage
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