Job Description
Location: 1–3 days per week from the Client’s office in Wroclaw
Salary: 170–190 PLN net/h (B2B)
Tasks:
Design, develop, and optimize scalable data warehouses and ETL/ELT pipelines in Azure Databricks using PySpark. Build reliable and efficient data pipelines (batch and streaming) supporting analytical and reporting environments. Implement data solutions within the Azure ecosystem, ensuring adherence to cloud best practices. Integrate various structured and unstructured data sources and formats such as XML, JSON, CSV, Parquet, and flat files, using APIs, message queues, streaming platforms, and database replication. Participate in BI architecture design based on Kimball and Inmon methodologies, including data modeling for analytics. Ensure data quality, consistency, performance, and security (validation, monitoring, performance tuning). Collab...