Senior Data Engineer (Databricks & Python)

Обязанности: Develop and maintain data pipelines using Azure Databricks, Python, PySpark, Spark SQL, and Delta Lake., Design and implement solutions following the Bronze → Silver → Gold medallion architecture., Ingest and process data from APIs, JSON files, Azure Storage, and enterprise systems., Build and maintain data quality, validation, reconciliation, monitoring, and automated data testing frameworks, including data quality rules, schema validation, and operational controls., Optimize performance, partitioning, and scalability of data workloads., Implement CI/CD, automated testing, error handling, and reprocessing processes., Ensure traceability, auditability, reproducibility, and controlled releases for regulated data pipelines.

Опыт: Strong Azure Databricks engineering with Python/PySpark, Spark SQL and Delta Lake., Deep knowledge of the Bronze → Silver → Gold medallion architecture shown in the diagram., Ingestion of structured JSON/API/file data, ADLS Gen2 and Azure Storage., Databricks Workflows/Jobs and preferably Delta Live Tables/Lakeflow where appropriate., Schema enforcement/evolution, data-quality rules, validation and reconciliation., Data transformation and standardization, metadata management and lineage., Unity Catalog/governance experience., API-based ingestion/export patterns., Handling document metadata and references to PDF/eLabel assets., Performance optimization and partitioning., CI/CD for notebooks/code and automated data tests., Monitoring/error h