Responsible for ingestion of data sources and feature engineering to support creation of modelling
Solution design, implement, and maintain data pipelines for data ingestion, processing, and
Create and maintain data solutions in Azure, using any of the following: Data Factory, Synapse
Implementing data validation and cleansing procedures will ensure the quality, integrity, and
Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.

🎯 Requirements

Good Python skills
Knowledge of good data design principles (concepts such as Kimball and Star Schema), data
Strong experience with Relational and ideally NoSQL databases.
Strong understanding of ETL/ELT processes.
Exposure to data monitoring and observability tools

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