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Senior Data Engineer - Python/SQL/ETL

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Description

Responsibilities :

- Design and develop data pipelines using Microsoft Fabric.

- Build and optimise data processing solutions using Python and PySpark.

- Collaborate with business and technical stakeholders to deliver data solutions.

- Ensure data quality, performance, and scalability.

- Support solution design, deployment, and production support activities.

Requirements :

- Strong hands-on experience in ADF, Azure Synapse, and Microsoft Fabric.

- Expertise in Python and PySpark.

- Experience in building scalable ETL/ELT pipelines and data engineering solutions.

- Strong SQL and data modelling skills.

- Experience with Data Lake, Lakehouse, and Data Warehouse architectures.

- Exposure to Azure Data Services is preferred.

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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