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Senior Analytics Engineer Data Analytics - Warner Bros. Discovery
Data Engineer
Lead end‑to‑end analytics engineering, building scalable data pipelines and models on AWS and BigQuery to empower data‑driven storytelling across a global media portfolio.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Python, SQL, and AWS services to ingest, transform, and store large media datasets.
- Build and optimize data models in BigQuery, ensuring high performance and data quality for downstream analytics and reporting.
- Collaborate with data scientists, product managers, and business stakeholders to translate business requirements into technical solutions.
- Implement automated testing, monitoring, and documentation for all data workflows.
- Drive continuous improvement of data architecture, adopting best practices in data warehousing and analytics engineering.
Requirements
- 5+ years of experience in analytics engineering or data engineering roles within a large-scale, data‑rich environment.
- Proficiency in Python, SQL, and experience with AWS services (Glue, Redshift, S3, Lambda).
- Hands‑on expertise with BigQuery, data modeling, and ETL pipeline development.
- Strong analytical mindset with a track record of delivering actionable insights from complex datasets.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced, creative industry.
Skills
pythonsqlawsanalytics