Support data analytics, reporting, and data engineering activities across enterprise data lakes, data warehouses, and business intelligence platforms. Design, develop, and maintain ETL/ELT data pipelines to support reporting and analytics requirements. Utilize Databricks, Oracle Data Integrator (ODI), SQL, and Python to integrate, transform, and validate large datasets. Perform data quality assessments, troubleshoot data issues, and support data governance efforts through metadata documentation and lineage tracking. Develop and support BI semantic layers to ensure accurate and scalable reporting solutions. Create and maintain dashboards and reports using tools such as Power BI, Oracle Analytics Server (OAS), Tableau, and other enterprise reporting platforms. Monitor production data pipelines, troubleshoot query performance issues, validate dashboard data, and support ongoing operations and maintenance activities. Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.
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Job Type
Full-time
Career Level
Mid Level