Senior Analytics Engineer

Warner Bros. Discovery

Not specified
Databricks notebooks and apache spark
Sql and python scripting
Etl/elt tools (e.g., dbt, airflow)
Warner Bros. Discovery is seeking a Senior Analytics Engineer to design and scale a robust analytics platform aimed at driving data-driven decision-making across various domains. The ideal candidate will possess strong skills in SQL, Spark, and Python, along with extensive experience in analytics engineering and data infrastructure

Job Summary

  • We are seeking a highly motivated Senior Analytics Engineer to design and scale a robust analytics platform that delivers impactful insights across key domains, such as Subscription, Growth, Identity, Retention, Content, and Product Analytics.
  • As a Staff Analytics Engineer, you will lead efforts to transform raw data into meaningful and actionable insights by building and maintaining a reliable and scalable analytics data infrastructure.
  • Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer.

Matching Summary

Match Score: 85

Warner Bros. Discovery is seeking a Senior Analytics Engineer to design and scale a robust analytics platform aimed at driving data-driven decision-making across various domains. The ideal candidate will possess strong skills in SQL, Spark, and Python, along with extensive experience in analytics engineering and data infrastructure.

Skills & Requirements

Must-have

  • Databricks notebooks and Apache Spark
  • SQL and Python scripting
  • ETL/ELT tools (e.g., dbt, Airflow)
  • Spark tuning and cluster management
  • Data pipelines, models, and metrics

Nice-to-have

  • Continuous improvement and emerging technologies
  • Storytellers, creators, and dreamers
  • Data-driven culture and informed decisions
  • Career defining opportunities and curated benefits

Key Requirements

  • 5-7+ years of experience
  • Bachelor’s degree in computer science, business analytics or similar discipline
  • Proficiency in SQL, Spark and ETL/ELT tools
  • Strong Python scripting skills
  • Hands-on experience with Databricks and Apache Spark

Work Rights

Not specified

Tailored Resume

Cover Letter