
Strategic Data Architect for Digital Innovation
3 days ago
Welcome to Warner Bros. Discovery, where imagination knows no bounds.
We're a global media and entertainment leader that combines the power of storytelling with innovative technologies to deliver unparalleled experiences to audiences worldwide.
Our journey began with a shared vision of harnessing the magic of our iconic brands and beloved franchises to captivate and inspire new generations.
Today, we're shaping the future of entertainment, sports, and news through cutting-edge streaming platforms, engaging digital products, and captivating storytelling.
Job Description: Senior Analytics EngineerWe're seeking an exceptional Senior Analytics Engineer to join our Data & Analytics team in Hyderabad, India.
This is an incredible opportunity to drive business insights and strategy by developing innovative data solutions, leveraging big data analytics, and collaborating with cross-functional partners to foster unified analytics and drive data-driven decision-making.
Key Responsibilities:- Design and implement robust data models to support flexible querying and data visualization.
- Partner with product stakeholders to understand business questions and build advanced analytical solutions.
- Advance automation efforts to enable the team to focus on high-value analysis rather than data manipulation.
- Develop frameworks that multiply team productivity and are intuitive for other data teams to leverage.
- Contribute to the creation and support of analytics development standards and best practices.
- Identify and resolve data anomalies through systematic solutions.
- Collaborate with stakeholders to ready data solutions for new product and feature releases.
- Pursue new opportunities through creative analytical and engineering methods.
- Bachelor's degree or higher in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.).
- 5+ years of experience in business intelligence/data engineering.
- Expertise in SQL and data-warehousing concepts (star schemas, slowly changing dimensions, ELT/ETL, MPP databases).
- Experience transforming flawed/changing data into consistent datasets and DAGs for batch-processing millions of records.
- Proficiency in general-purpose programming (Python, Java, Go) and handling various data structures, algorithms, and serialization formats.
- Experience with big-data technologies (Spark, Kafka, Hive).
- Ability to build reports and dashboards with BI tools (Looker, Tableau).
- Analytics tool expertise (Athena, Redshift/BigQuery, Splunk, etc.).
- Version control proficiency (Git) and CI/CD best practices.
- Agile project management skills.
- Care for input data quality and interpretation.
- Digital product, streaming service, or subscription product experience preferred.
- Strong written and verbal communication skills.
- A great place to work.
- Equal opportunity employer.
- Fast track growth opportunities.
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