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Senior Data Engineer (Python)

Edvantis, Львів, Ряшів (Польща)
Формат:
повний remote
Рівень:
senior
Джерело:
jobs.dou.ua
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Що робити

  • Design, build, and maintain scalable ETL/ELT pipelines on Databricks using PySpark and Delta Lake
  • Define and evolve data models and the lakehouse architecture (bronze/silver/gold layers)
  • Build and secure data exchange between AWS and Databricks, using S3 and other AWS sources and sinks
  • Develop Python back-end services and APIs that serve or consume data products, and deploy them on AWS
  • Write and optimize complex SQL for transformations, reporting & analytics, and tune performance on both Spark and relational databases

Що очікуємо

  • 5+ years of commercial experience in Data Engineering, including 3+ years of hands-on work with Databricks (clusters/jobs, notebooks, Delta Lake, Unity Catalog, Workflows)
  • Strong PySpark skills: transformations, joins, window functions, and performance tuning
  • Proven experience in designing ETL/ELT pipelines, including incremental loads, CDC, idempotency, and error handling & recovery
  • Advanced SQL knowledge: query optimization, complex analytical queries, and data modeling (dimensional, normalized, medallion architecture)
  • Solid experience with relational databases (PostgreSQL, MySQL, or MS SQL Server)

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