Principal Data Engineer
Princeton, New Jersey, 08540, United States On-site
Salary not listedJobFig found this opening at its original source and checks that it remains available.
About the role
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. • Writes unit/integration tests, contributes to engineering wiki, and documents work. • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. • Works closely with a team of frontend and backend engineers, product managers, and analysts. • Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. • Designs data integrations and data quality framework. • Designs and evaluates open source and vendor tools for data lineage. • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
What you'll bring
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.