Responsible for ingestion of data sources and feature engineering to support creation of modelling data layers, integrate data into models / workflows. Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies Create and maintain data solutions IN Azure, using any of the following:  Data Factory, Synapse, Fabric  Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and resolving data pipeline problems, ensuring  consistency and availability of the data.   Qualifications Good Python skills Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling. Strong experience with Relational and ideally NoSQL databases. Strong understanding of ETL/ELT processes. Exposure to data monitoring and observability tools