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Analytics Engineer - Ads Measurement - Netflix
Data Engineer
Analytics Engineer focused on building and optimizing data pipelines for Netflix’s ad‑supported tier, leveraging SQL, Python, and cloud data platforms to deliver actionable insights on ad performance and user engagement.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines that ingest, transform, and store ad‑measurement data across multiple cloud services.
- Collaborate with product, engineering, and data science teams to define metrics, dashboards, and reporting frameworks that drive business decisions.
- Implement robust data quality checks, monitoring, and alerting to ensure accuracy and reliability of measurement data.
- Optimize query performance and storage costs using advanced SQL techniques and data modeling best practices.
- Document data flows, schema changes, and pipeline logic for cross‑team visibility and compliance.
Requirements
- 5+ years of experience in analytics engineering or data engineering roles within a large, data‑centric organization.
- Proficiency in SQL and Python for data manipulation, analysis, and automation.
- Hands‑on experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) and orchestration tools (Airflow, dbt).
- Strong understanding of data modeling, ETL/ELT processes, and performance tuning.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.