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Warner Bros. Discovery

Data Engineer II – Data Analytics Team

Warner Bros. Discovery

. Build reliable and scalable engineering solution that empowers various use cases such as data enrichment, classifications and deep analytics.

Posted 5/22/2026full-timeHyderabad • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudETLJavaPythonScalaSQL

About the role

Key responsibilities & impact
  • Build reliable and scalable engineering solution that empowers various use cases such as data enrichment, classifications and deep analytics.
  • Build a solution in the cloud - handles both streaming and batch data processing, capable of solving big data initiatives by applying state-of-the-art AI technology.
  • Build scalable software across our data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies.
  • Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
  • Work closely with data scientists, data analysts and business stakeholders to make data easily accessible and understandable to them.
  • Develop and enforce data engineering, security, data quality standards through automation and applied AI.
  • Participate in supporting platform 24X7.
  • Be responsible for cloud cost and improving efficiency.

Requirements

What you’ll need
  • Master’s or Bachelor’s degree in computer science or similar discipline
  • 3-5 years of experience in software engineering and/or data engineering
  • Ability and willingness to learn new technologies and apply them at work to stay ahead of the curve.
  • Proficient in at least a few programming languages – Python / Scala / Java and SQL
  • Strong understanding of data modelling, ETL best practices, and big data architecture.
  • Practical knowledge with CI/CD pipelines, preferably GitHub Actions Workflows.
  • Databricks & Cloud (AWS) experience is preferred
  • Experience building solutions with one or more of the following AI/ML concepts: classification/ inference/embedding models, agents, RAG, vector search is a plus.
  • Excellent verbal and written communication skills
  • Strong critical/analytical thinking and problem-solving skills
  • Must be a self-starter.

Benefits

Comp & perks
  • A Great Place to work
  • Equal opportunity employer
  • Fast-track growth opportunities.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonScalaJavaSQLdata modelingETL best practicesbig data architectureCI/CD pipelinesAI/ML conceptsdata engineering
Soft Skills
communication skillscritical thinkinganalytical thinkingproblem-solvingself-starterwillingness to learncollaborationexploratory analyticsdata miningdata discovery
Certifications
Master’s degreeBachelor’s degree