Build scalable cloud data pipelines with Python, SQL, and Databricks in a Cloud Data Engineer position focused on secure processing.
This Cloud Data Engineer position centers on designing, building, and maintaining scalable data pipelines and Azure cloud platforms. You will work with large datasets, optimize workflows, and support efficient storage and processing. The work includes Spark programs, Delta Lake, data integration, and modeling.
Key Responsibilities:

Build and optimize ingestion, transformation, and loading pipelines
Develop Spark programs in Databricks for large datasets
Optimize, monitor, and troubleshoot Databricks jobs
Implement data management, security, and governance practices
Perform code reviews against requirements and standards
Requirements:

Five-plus years of Python coding experience
Five-plus years developing with SQL Server large datasets
Five-plus years deploying Databricks PySpark ETL pipelines
Experience with cloud warehouses including Synapse or Snowflake
Experience with dimensional data modeling and data warehousing
Apply Python, SQL, Databricks, and cloud data engineering expertise to scalable pipelines and secure data processing.

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Cloud Data Engineer Databricks Python