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Data Engineer - Hybrid
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- Ideal candidates must have 5+ years of experience as a Data Engineer supporting a global corporate environment.
- Design and develop ETL processes to extract, transform, and load large volumes of data from diverse sources into the data warehouse
- Work closely with data strategist and operational teams to gather dashboard requirements and translate them into actionable visualizations
- Maintain comprehensive documentation of data lineage, transformations, and data sources to facilitate audits and compliance reporting
- Collaborate with cross-functional teams, including finance, operations, global service, sales and others to align data solutions with business goals
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