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Warner Bros. Discovery
Warner Bros. Discovery
MedijiTelekomunikacijeZabava
Warner Bros. Discovery je globalno medijsko in zabavno podjetje, ki deluje na področju medijev, zabave in telekomunikacij. Ustvarja, producira in distribuira filme, televizijske vsebine ter drugo vsebino prek različnih platform, njegovo portfelj uveljavljenih blagovnih znamk in franšiz pa nagovarja občinstvo po vsem svetu.
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Delovna mesta v podjetju

Staff Analytics Engineer, Data Analytics – Hyderabad (Hybrid)

Build scalable data platforms, semantic layers, and visualizations for Warner Bros. Discovery streaming products. Support commerce, growth, and subscription analytics with trusted datasets and automation.

INIndijaHibridnoPolni delovni časVodjaZahtevani Jezik: angleščinaInženir analitike
ETLGoJavaKafkaPythonSparkSQLTableau

Opis

  • Develop data models for flexible querying and visualization
  • Work with Commerce and Growth stakeholders to turn business questions into advanced analytics
  • Automate data manipulation and validation to reduce manual effort
  • Create intuitive frameworks that help data teams work more productively
  • Develop systematic ways to detect, alert on, and investigate data anomalies
  • Prepare data solutions for product and feature launches, and resolve data quality issues
  • Explore new opportunities through analytics and engineering
  • Establish and improve analytics development standards and practices
  • Mentor junior data analytics engineers
  • Lead data solution projects from requirements and planning through implementation across pipelines, tables, and visualizations
  • Coordinate with cross-functional partners to represent business logic in semantic layers and production systems

Zahteve

  • Bachelor’s, master’s, or higher degree in a quantitative discipline such as computer or data science, engineering, mathematics, or statistics
  • At least 9 years of relevant business intelligence or data engineering experience
  • Expert SQL skills and knowledge of data warehousing, including star schemas, slowly changing dimensions, and ELT/ETL
  • Experience turning flawed or changing data into reliable datasets and building DAGs to batch process millions of records
  • Experience programming in a general-purpose language such as Python, Java, or Go
  • Knowledge of data structures, algorithms, and serialization formats
  • Experience with big data technologies such as Spark, Kafka, or Hive
  • Advanced skills building reports and dashboards with BI tools such as Looker and Tableau
  • Proficiency with Git or comparable version control, and CI/CD practices
  • Experience managing workflows with Agile methods
  • Ability to write clear, concise documentation and communicate precisely
  • Ability to independently solve ambiguous problems while managing multiple projects and deadlines
  • Careful attention to the quality of input data and how processed data is interpreted and used
  • Strong written and verbal communication skills
  • Strong organizational skills and the ability to work independently and responsibly
  • Self-directed approach to taking projects from design through delivery with minimal supervision
  • Ability to manage competing priorities and deadlines in a fast-paced, complex business environment
  • Collaborative approach and ability to build strong working relationships

Ugodnosti

  • A thoughtfully selected benefits package
  • Tools to support personal growth and development
  • Opportunities for accelerated career growth
  • Equal opportunity employer
  • Disability adjustments or accommodations are available upon request during the application or recruitment process

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