Data Engineer

• Design, develop, and maintain scalable data pipelines using SQL, Spark (Spark SQL / PySpark) and other technologies to support the organization’s growing data Lakehouse
• Ensure that data platforms are properly architected for scalability, performance, and data integrity. Work cross-functionally to make sure data platforms are properly integrated with other systems
• Design ETL/ELT processes to ingest data from various sources and integrate them into existing data platforms. Work cross-functionally to surface high-quality data for analytics, data visualization, and data science
• Collaborate with internal teams to gather requirements and translate them into technical solutions. Help other members of the organization develop data skills and an understanding of data quality and governance
• Ensure data quality, consistency, security, and compliance across all projects. Monitor and tune data platforms as needed to ensure a high level of service for users
• Create, maintain, and enhance documentation on systems and data products. Ensure that code is properly version controlled and managed as it moves from development to production

Data Engineer

Data Engineer

Senior Principal Data Architecture – Corporate Functions

Data Engineer

Data Operations Engineer

Chief Data Architect