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Data Engineer

• Build and maintain data infrastructure that enables the collection, storage, and retrieval of data;
• Create new data flows by integrating our data sources and ensuring they are reliable and efficient;
• Develop ETL pipelines, data warehousing, and data modeling to support business needs;
• Ensure data quality monitoring, reliability, and lineage by developing processes and tools to identify and correct data quality issues;
• Collaborate with other members of the Data & Analytics Team to optimize the data infrastructure and improve data governance;
• Provide documentation and training to end-users on data sources, pipelines, and data quality procedures;
• Stay current with the latest technologies and techniques related to data engineering, and identify opportunities to improve data infrastructure and analysis.