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Data Infrastructure Architect
2 weeks ago
We are seeking a highly motivated Data Engineering Manager to design and scale a robust data infrastructure that delivers impactful insights across key domains.
The ideal candidate will lead efforts to transform raw data into meaningful and actionable insights by building and maintaining reliable and scalable data pipelines, models, and metrics.
- Design and develop scalable data pipelines and workflows using Databricks and Apache Spark.
- Optimize Spark-based workflows for performance, scalability, and cost efficiency.
- Build and maintain reusable data transformations and models using Databricks and Python.
To be successful in this role, you should have:
- Bachelor's degree in computer science, business analytics or similar discipline.
- 10+ years of experience in data engineering, analytics engineering, or a related field.
- Expertise in Databricks and Apache Spark, with hands-on experience optimizing Spark workloads.
- Advanced proficiency in Python for data transformation and pipeline development.
- Strong programming skills in Python or similar languages for data processing and automation.
As a Staff Analytics Engineer at Warner Bros. Discovery, you will enjoy a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
Championing InclusionWarner Bros. Discovery is committed to building a diverse and inclusive workforce that reflects the diversity of our society and the world around us.