Azure Data Engineer
2 days ago
Responsibilities:
- ETL / ELT pipeline design.
- Data Lake / Lakehouse Design.
- Querying data using PySpark and T-SQL.
- Performance optimization.
- Preparation of product specifications and supporting documentation.
- Data security (adherence to GDPR).
Technical requirements
- 3+ years of experience in a similar role.
- Strong proficiency with SQL language and its variation among popular RDBMS types.
- Python (for Spark data manipulation).
- Hands-on experience with Synapse Data engineering is essential.
- Hands-on experience with Fabric Data Engineering is preferred.
- Data Factory Pipelines design (ETL/ELT processes).
- Experience with on-prem SQL (2016 and above) including SSIS.
- Some knowledge of C# (for Azure Function Apps).
- Microsoft development stack (Visual Studio, Azure Dev Ops).
Non-technical requirements
- Work with limited supervision.
- Excellent communication skills (verbal/written).
- Good collaboration with other team members across our technology function.
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