Senior Data Engineer
Core
Design, build, and optimize scalable data lakehouse platforms (Google BigQuery or Databricks) to ingest, transform, and govern data for global brand analytics.
Role type
Senior IC Data Engineer (Lakehouse)
Builds
Production-grade data pipelines and analysis-ready datasets within a multi-cloud lakehouse environment.
Domain
Marketing Intelligence / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Google BigQuery, Databricks, Apache Spark (PySpark), SQL, Python, Cloud Composer (Airflow), Delta Lake, Data Governance, Multi-cloud architecture (Azure, AWS, GCP), CI/CD, Data Modeling
Preferred skills
Terraform, dbt, Snowflake, Looker, Power BI
Technologies
Google BigQuery, Databricks, Delta Lake, Cloud Composer, Git, Terraform, Snowflake, Looker, Power BI
Responsibilities
Design and deploy ETL/ELT pipelines using Medallion Architecture; Optimize BigQuery tables and Spark jobs for performance and cost; Implement data governance, security, and lineage; Develop data ingestion strategies from multiple sources; Write complex SQL queries for ad-hoc analysis; Provide production support and monitoring for data workflows.
Seniority
Senior, hands-on IC
