Data Engineer (Analytics)
Summary
Designs and maintains data warehouses and ETL pipelines to feed analytics and reporting for a fintech company.
- Design data warehouse structures to meet data analytics and data science requirements.
- Develop and maintain robust ETL pipelines to populate data in the data warehouses.
- Collaborate effectively with stakeholders and cross-functional data team members to architect, develop, and maintain advanced reporting and data visualization capabilities.
- Leverage large volumes of data to support analytics and improve business processes.
- Implement best practices in data engineering, including data integrity, quality assurance, and documentation.
- Apply strong analytical skills to collect, organize, analyze, and present structured and unstructured datasets with high accuracy.