Senior Data Engineer

📋 Description

• Own architecture for large-scale batch/streaming data pipelines (Beam/Spark/Flink) with Dataflow.
• Lead design reviews, decisions, cross-team delivery; mentor engineers.
• AI-first mindset: guardrails for responsible AI; apply AI to data problems.
• Lead data warehouse/lakehouse design; modeling standards; cost optimization.
• Design event-driven streaming architectures with schema evolution and idempotency.
• Establish orchestration with Airflow, Dagster, or Prefect; CI/CD and observability.

🎯 Requirements

• Strong track record delivering production-grade data pipelines end-to-end.
• Distributed data processing experience: Spark, Beam, Flink.
• Cloud data warehouses: BigQuery, Snowflake, Redshift, Databricks.
• Hands-on with event streaming platforms; schema management, replay, backfill.
• Orchestration tools: Airflow, Dagster, Prefect; CI/CD and observability.
• Data governance and compliance: PII handling, access controls, auditing.
• Collaboration with ML/DS teams to productionize features and monitoring.

🎁 Benefits

• Global team with colleagues across 190 countries.
• Equal opportunity employer; commitment to diversity and inclusion.
• Opportunities for growth, learning, and professional development.
• Collaborative, accountable working culture that values impact.