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You will be updated with latest job alerts via emailUnderstand, design, develop, and expand data engineering/ data warehousing technical stacks: ETLs, Data Stores, Data Warehouse, Data Lakes, Data Hubs, Data Governance, Visualization, Performance, Infrastructure, and Governance in either enterprise/ open source/ bespoke solutions or platforms.
o Design and develop ETL environment/ ingestion of data from source to destination.
o Design, develop, and test data stores, data warehouse, and data mart in the Azure environment
o Implement data pipelines to bring data at reach to platforms or tools used by different business units. Maintain development roadmap aligned with product and infrastructure objectives to support advanced data solutions
o Analyze source data and data flows and building APIs or solutions for data consumption or integration to different tools
o Provide subject matter expertise or support to data engineering technical stack post-production
o Design, implement, and test solutions for integrating, streaming, processing, and storage of data. This also includes data in data warehouses, data lakes, and/or data hubs and handling of structured, semi-structured, and unstructured data
Full Time