Overview
Build and scale Databricks data pipelines with PySpark and Python for data products used by MLOps and machine-learning teams.
Full job description
Develop transformation pipelines, work with ADLS Gen2 and SAP HANA Data Lake, implement quality checks and tune large-scale data processing.
Requirements & qualifications
Requires 3+ years in data engineering, Python/PySpark/Databricks proficiency, Git and CI/CD experience, data-lake knowledge, Microsoft Azure experience and English at B2 or higher.
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