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We are scaling our analytics stack and need a data engineer to build a reliable ETL pipeline that ingests product events into BigQuery. Responsibilities Design and implement ingestion from our event stream into BigQuery Orchestrate jobs with Airflow (idempotent, retryable DAGs) Model curated tables with dbt and add data tests Set up monitoring, alerting and basic cost controls Requirements Expert in Python and advanced SQL Production experience with Airflow and dbt Strong grasp of partitioning, clustering and warehouse cost optimization Nice to have Experience with streaming (Pub/Sub, Kafka) Terraform for warehouse infrastructure Engagement Hourly, ongoing with a clear initial milestone. Please share a similar pipeline you have shipped.