This role is responsible for building and scaling the massive, reliable data infrastructure that powers critical decisions, product features, and advanced analytics across our organization—impacting billions of users daily. As a Data Engineer, you will be a core architect and builder of our next-generation data pipelines, transforming raw, high-volume data into structured, actionable insights.
Requirements
- Design and Build: Develop, test, and maintain scalable data pipelines (ETL/ELT) using technologies like Dataflow (Apache Beam), Composer (Apache Airflow), and BigQuery.
- Infrastructure Management: Architect and optimize data models within BigQuery for performance and cost efficiency, supporting high-volume analytical workloads.
- Collaboration: Work closely with Data Scientists, Analysts, and Software Engineers to understand data needs and ensure data quality, integrity, and security across all platforms.
- Operational Excellence: Monitor and troubleshoot production data systems, implementing best practices for continuous integration and deployment (CI/CD) of data pipelines.
- Innovation: Explore and recommend new data technologies and cloud services to enhance data architecture and governance.
Benefits
- Paid parental leave
- Initiatives focused on your well-being
- Discounted health insurance
- Discounts on various products and services
- Regular recognition and rewards for high performance