Azure Databricks Data Engineer — Streaming & Scale
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Summary
Design, build, and maintain batch and streaming data pipelines on Azure Databricks using Python and PySpark, including data modeling and performance tuning in a large-scale cloud environment. The role also requires hands-on CI/CD (YAML) and infrastructure-as-code (ARM/Bicep) work.
STAFIDE is seeking an experienced Azure Databricks Engineer to design, develop, and maintain data pipelines using Azure Databricks, Python, and PySpark. You will build batch and streaming workflows, design data models, and ensure performance in a large-scale cloud environment.
You should have 8+ years in data or software engineering, deep Azure Databricks expertise, and hands-on experience with CI/CD pipelines (_yaml_) and IaC (ARM/Bicep).