Vacancy Description
Qualifications
- Strong hands-on experience with Databricks (PySpark, Delta Lake, notebooks) – core requirement
- Proven ability to build and optimize ETL/ELT data pipelines in a lakehouse environment
- Experience with Azure Data Lake Storage (ADLS Gen2) for scalable data storage
- Hands-on development using Azure Data Factory (ADF) for orchestration and pipelines
- Experience with Azure Functions for serverless data processing
- Solid understanding of lakehouse architecture (Databricks + ADLS integration)
- Strong proficiency in Python and SQL for data transformation and pipeline logic
- Experience with data modeling, partitioning, and performance optimization
- Familiarity with Databricks Unity Catalog (data governance, access control)
- Experience integrating Databricks with Snowflake, APIs, or downstream BI systems
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