Senior Data Engineer

- Design, develop, test, and maintain optimal data pipeline and ETL architectures.

- Map out data systems and define/design required integrations, ETL, BI, and AI systems/processes.

- Prepare and optimize data for predictive and prescriptive modeling.

- Collaborate with teams to integrate ERP data into the enterprise data lake, ensuring seamless flow and quality.

- Enhance cloud data infrastructure on AWS or Azure for scalability and performance.

- Utilize big data tools and frameworks to optimize data acquisition and preparation.

- Build architectures to move data to/from data lakes and data warehouses for advanced analytics.

- Develop and curate data models for analytics, dashboards, and reports.

- Conduct code reviews, maintain production-level code, and implement testing approaches.

- Monitor, troubleshoot, and resolve data ingestion workflows to maintain reliability and uptime.

- Drive innovation and implement efficient new approaches to data engineering tasks.