Data Engineer Senior

5 days ago


Hyderabad City Taluka, Pakistan Warner Bros. Discovery, Inc. Full time

About the Role

As a Senior Analytics Engineer at Warner Bros. Discovery, you will be responsible for leading data pipeline and data strategy efforts for the Data & Analytics organization at Max.

You will design and implement data models that support flexible querying and data visualization, partner with product stakeholders to understand business questions and build out advanced analytical solutions, advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing, and participate in the creation and support of analytics development standards and best practices.

  • Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis.
  • Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances.
  • Identify and explore new opportunities through creative analytical and engineering methods.

What We're Looking For

We are looking for a naturally inquisitive, critical thinker, proactive problem-solver, and detail-oriented individual who is comfortable initiating projects from design to execution with minimal supervision.

The ideal candidate will have a Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.) and 5+ years of relevant experience in business intelligence/data engineering.

Requirements

  • Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)
  • 5+ years of relevant experience in business intelligence/data engineering
  • Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases
  • Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records
  • Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats
  • Experience with big-data technologies (e.g. Spark, Kafka, Hive)
  • Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)
  • Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc.
  • Proficiency with Git (or similar version control) and CI/CD best practices
  • Experience in managing workflows using Agile practices
  • Ability to write clear, concise documentation and to communicate generally with a high degree of precision
  • Ability to solve ambiguous problems independently
  • Ability to manage multiple projects and time constraints simultaneously
  • Care for the quality of the input data and how the processed data is ultimately interpreted and used


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