Design, develop, and optimize large-scale data pipelines and ETL/ELT workflows.
Design data architecture for identity resolution and ID graphs.
Develop and enhance systems for identity resolution and ID graph construction.
Process and unify multi-source datasets from cookies, device IDs, and behavior data.
Write efficient, testable Python and SQL code for large-scale data processing.
Build data validation, monitoring, and alerting to ensure quality.

🎯 Requirements

5–8+ years of hands-on data engineering experience.
Production-grade data pipelines and distributed systems.
Experience delivering large-scale data platforms and data modeling.
Strong SQL (Postgres, BigQuery, Redshift) and Python.
Experience with Google Cloud Platform and/or AWS.
CI/CD, Docker, Kubernetes, and Git.

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