3+ years experience in design, implementation, and monitoring of large-scale data warehouses and data marts
3+ years experience building data products that are well-modeled, documented and easy to understand and maintain
3+ years of experience building data pipelines to ingest, process, and ensure data quality from different sources
Expertise in SQL
Familiarity with dbt and orchestration tools like Airflow
Experience working with modern data storage (BigQuery, Postgres) and services in cloud environment(s) like GCP
Experience with object-oriented languages like Python or similar
Experience embedding data governance into end-to-end data pipeline workflows
What You'll Be Doing
Build, scale, and maintain core data model and data products to power personalization and analytics across product engineering and data teams
Design and deploy efficient, reliable pipelines for data ingestion and transformation
Deploy inclusive data quality checks to ensure quality and timeliness of data, and diagnose/fix issues to ensure SLAs
Work with other engineers to improve reliability, documentation and automation to simplify self-service support for data products
Implement data governance principles, including data classification, data ownership, and data stewardship as part of our core data pipelines
Collaborate with product manager and product engineers, data owners, data stewards and customers to implement and maintain data products to serve analytics, ML and reporting needs
Perks & Benefits
Health insurance with 100% covered premiums for you, your spouse or partner and your dependent children including medical, dental, and vision