The Project:
Implement data flows to connect operational systems, analytics platforms, and Business Intelligence (BI) systems.
Document source-to-target mappings and define data architecture.
Re-engineer manual data flows to enable scalability and reusability.
Support the build of data streaming and batch processing systems.
Write ETL (extract, transform, load) scripts and code to ensure optimal ETL performance.
Develop reusable Business Intelligence reports and dashboards.
Build accessible and governed data solutions for analysis.
Recognise opportunities to reuse existing data flows and optimise processes.
Lead the implementation of data streaming solutions and best practices.
Optimise code and ensure high-performance data processing.
Lead work on database management, ensuring security, scalability, and reliability.
Development of data products such as data warehousing, data models, reporting, and business applications at scale to support improved business outcomes.
Skills Required:
ETL/ELT development using tools such as Azure Data Factory.
Extensive experience with SQL Server and Data Warehousing.
Strong understanding and experience working with Microsoft Fabric.
Experience working with large and complex datasets.
Data Modelling and Desi...
