Data Engineer
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The role
Design, build, and maintain scalable, fault-tolerant data pipelines across multiple data sources to deliver reliable business data.
Architect and optimize Snowflake and BigQuery data warehouses for performance, cost efficiency, and security at scale.
Develop reusable data models for analytical and operational workloads, enabling cross-team access to insights.
Implement data governance including schema management, lineage tracking, and access controls to ensure data quality and safety.
Build and manage robust ETL workflows with dbt and orchestration tools (Airflow/Prefect), with monitoring and alerting for observability.
Collaborate with product and engineering to translate data into AI model training, product metrics, and customer success insights.
Architect and optimize Snowflake and BigQuery data warehouses for performance, cost efficiency, and security at scale.
Develop reusable data models for analytical and operational workloads, enabling cross-team access to insights.
Implement data governance including schema management, lineage tracking, and access controls to ensure data quality and safety.
Build and manage robust ETL workflows with dbt and orchestration tools (Airflow/Prefect), with monitoring and alerting for observability.
Collaborate with product and engineering to translate data into AI model training, product metrics, and customer success insights.
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