Staff Software Engineer, Data Quality & Audience

Job Description

Staff Software Engineer, Data Quality & Audience - Hyderabad

About Warner Bros. Discovery:

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.

For more information, please visit www.wbd.com

Meet Our Team:

The Data & Audience organization is at the forefront of developing and maintaining frameworks, tools, and high quality data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system.
Our mission is to foster unified analytics and drive data-driven use cases through a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.

Roles & Responsibilities:

Warner Brothers Discovery (WBD) is looking to hire a full-time Experienced Software Engineer to join our Data Quality team. The team helps our clients articulate how data contributes to business value, identifies data quality issues, and implements solutions to verify, validate, and monitor data quality. As a Staff Software Engineer, you will use software-based approaches to solve complex data-driven challenges and automate solutions. Within our organization, you'll lead efforts aimed at scaling our existing data quality offerings and establish the technical strategy for how we can build better and equip our Data Producers and Consumers. You will build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, data, and cloud knowledge, to optimize, automate and evolve how we ensure the highest quality data.

To be successful, you'll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills. You have experience practicing in a data organization, ensuring quality Data and Analytics. As a Staff Engineer you will drive the framework to formulate rules-based and pattern-based tests. Ensuring code and pipelines are created to discover, implement, execute, and manage those tests. In addition, you'll have strong systems knowledge and experienced troubleshooting abilities.

Roles & Responsibilities:
• Engineering: Apply broad knowledge of technology options, platforms, design techniques and approaches across the Data Engineering ecosystem to build systems that meet quality needs.
• Developer Excellence: Build systems and datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence best practices
• Data Warehousing: Understanding of data warehousing concepts, ETL processes, and tools (e.g., Apache Airflow, Talend).
• SQL and Database Knowledge: Proficiency in SQL for querying and validating data in various types of databases (relational and non-relational).
• Programming Languages: Knowledge of programming languages like Python or R, particularly for data manipulation, automation, and building custom validation scripts.
• Data Validation and Testing: Expertise in validating data quality, integrity, and consistency across different datasets.
• Data Quality Tools: Familiarity with tools like Apache Spark, Pandas, Great Expectations, Informatica Data Quality, Talend Data Quality, etc.
• Big Data Technologies: Experience with big data frameworks like Hadoop, Apache Spark, and distributed computing environments.
• API Testing: Skills in testing and validating data flows through APIs and web services.
• Tooling Aptitude- Successful track record of instrumenting tools, automation, and processes at scale for frontend and backend Quality engineering activities (Unit, Integration, User journey, Load, payment, regression testing)
• Software Quality - Understanding of automation workflows, CICD release pipelines, test environments across multiple products and release within an agile development framework.
• Drive the design, to build, execute, and maintain automated tests and/or manage deep data profiling runs to ensure data products and pipelines meet expectations
• Leadership: Collaborative Leader who helps other engineers and team members to be more productive, sharing knowledge and guides direction for key technical decisions. Provide mentoring to other engineers.
• Growth oriented: Participate in the growth of the DQE practice by sharing knowledge and lessons learned, continually improving best practices, and contributing to methods that will systematically advance workforce capabilities
• Effective Communicator: Effectively communicate through technical documentation, commented code, and interactions with stakeholders and adjacent teams
• Culture Driven: Contribute to building a vibrant workplace, where teams can thrive, and model the organization's positive, supportive culture of respect and excellence

What to Bring:

Warner Brothers Discovery (WBD) is looking to hire a full-time Experienced Software Engineer to join our Data Quality team. The team helps our clients articulate how data contributes to business value, identifies data quality issues, and implements solutions to verify, validate, and monitor data quality. As a Staff Software Engineer, you will use software-based approaches to solve complex data-driven challenges and automate solutions. Within our organization, you'll lead efforts aimed at scaling our existing data quality offerings and establish the technical strategy for how we can build better and equip our Data Producers and Consumers. You will build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, data, and cloud knowledge, to optimize, automate and evolve how we ensure the highest quality data.

To be successful, you'll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills. You have experience practicing in a data organization, ensuring quality Data and Analytics. As a Staff Engineer you will drive the framework to formulate rules-based and pattern-based tests. Ensuring code and pipelines are created to discover, implement, execute, and manage those tests. In addition, you'll have strong systems knowledge and experienced troubleshooting abilities.

Roles & Responsibilities:
• Engineering: Apply broad knowledge of technology options, platforms, design techniques and approaches across the Data Engineering ecosystem to build systems that meet quality needs.
• Developer Excellence: Build systems and datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence best practices
• Data Warehousing: Understanding of data warehousing concepts, ETL processes, and tools (e.g., Apache Airflow, Talend).
• SQL and Database Knowledge: Proficiency in SQL fo

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Jobcode: Reference SBJ-wp4eyy-13-58-93-211-42 in your application.