Ingest data sources and perform feature engineering for modelling data layers.
Design, implement, and maintain data pipelines for ingestion, processing, and transformation using cloud services.
Create and maintain Azure data solutions using Data Factory, Synapse, Fabric.
Implement data validation and cleansing to ensure data quality, integrity, and reliability.
Improve scalability, efficiency, and cost-effectiveness of data pipelines.
Monitor and resolve data pipeline issues to ensure data consistency and availability.

🎯 Requirements

Strong Python skills.
Data design principles (Kimball/Star Schema), data warehousing, data modeling.
Relational and NoSQL databases experience.
Strong ETL/ELT knowledge.
Experience with data monitoring and observability tools.

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