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仕事内容
Role Overview
We are looking for a Tech Lead with strong hands-on experience in Azure-based data engineering and transformation work. The role centers on building and orchestrating scalable data pipelines, developing analytical processing solutions, and working with enterprise databases and warehousing concepts.
Core Technical Focus
- Design and maintain Azure Data Factory pipelines, triggers, mapping data flows, and end-to-end orchestration.
- Work extensively with Azure Databricks, including PySpark, Spark SQL, Delta Lake, notebooks, and clusters.
- Use Python to automate ETL tasks and carry out data transformation workflows.
- Apply advanced SQL capabilities across Oracle and SQL Server, including query optimization and complex data shaping.
- Support data modelling and warehousing initiatives using star and snowflake schema designs.
- Handle distributed data processing in scalable data environments.
Additional Requirements
The role calls for strong expertise in building reliable data integration solutions and the ability to work across multiple technologies in a production environment. Candidates should be comfortable dealing with performance-sensitive SQL, engineering data pipelines, and implementing structured warehousing approaches.