Data Engineer

• Strong experience with Google Cloud Platform (GCP) data services, or 5+ years on another major cloud provider.
• Strong Python skills for data pipeline development.
• Strong SQL skills and hands-on experience with dbt.
• Hands-on experience with distributed data processing frameworks (Spark, Beam, Flink, etc.).
• Strong experience with Apache Airflow.
• Some experience with streaming systems (Pub/Sub, Kafka, etc.).
• Mandatory experience using AI-assisted coding tools in day-to-day development.
• Experience with AI-driven data workflows (e.g., ML pipelines, feature generation, LLM-adjacent pipelines).
• Experience supporting analytics or BI-driven use cases.
• Exposure to data quality or governance tooling.

• Design, build, and operate scalable batch and streaming data pipelines.
• Implement distributed data processing using Spark, Apache Beam, or similar frameworks.
• Orchestrate workflows using Apache Airflow.
• Develop and maintain transformations using SQL and dbt.
• Ensure data quality, observability, and performance across pipelines.
• Collaborate closely with Analytics Engineers and Platform Engineers.
• Build reliable, well-modeled datasets in the data warehouse.

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