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Data Engineer, People Analytics - Zoom Communications
Data Engineer
Experienced Data Engineer to design, build, and maintain scalable ETL pipelines and data models for People Analytics, ensuring high‑quality, analytics‑ready datasets across HR systems.
About the role
Key Responsibilities
- Architect and maintain a modern data platform that consolidates HR data from multiple sources.
- Design, develop, and schedule robust ETL pipelines using Python, SQL, and Apache Airflow.
- Build and optimize dimensional data models in Snowflake to support self‑service analytics.
- Implement data quality checks, monitoring, and alerting to guarantee reliable datasets.
- Collaborate with People Experience analysts to translate business requirements into technical solutions.
Requirements
- 3+ years of hands‑on experience as a Data Engineer, preferably in HR or People Analytics.
- Strong proficiency in Python, SQL, and ETL design patterns.
- Experience with cloud data warehouses (e.g., Snowflake) and workflow orchestration tools such as Apache Airflow.
- Solid understanding of data modeling concepts and best practices for analytics.
- Ability to work cross‑functionally, communicate technical concepts clearly, and prioritize data reliability.