Lead Data Engineer, Data & Analytics

Company Description

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

Job Description

As part of the global Operations & Technology organization, the Data & Analytics team (D&A) is focused on data and analytics strategies for the future. We support NBCU’s vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks and a diverse suite of digital properties. We take pride in providing NBCUniversal with data to advise and shape strategic business decisions.

The Data & Analytics (D&A) team at NBCUniversal is looking for a passionate Data & analytics expert who’s looking to build the next generation of data analytics solutions while working with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across one or more of our main subject areas.  The Data & Analytics Lead role is right for you if you’re a subject matter expert in designing end to end analytics solutions and can maintain the fine balance of business acumen and deep technical knowledge. You are a passionate problem solver who’s looking to build the next generation of data pipelines and applications. The Data & Analytics lead role is right for you if you’re a “hands-on” coder who can build and cleanse large datasets in order to report out actionable insights. Here you can create the extraordinary. Join us.

• Gather reporting requirements from business stakeholders and convert them into technical solutions that give the users access to the data in a format that highlight actionable insights
• Evaluate business value, manage the prioritization and execution of enhancements and projects, including communication to key stakeholders and coordination of work effort within internal IT teams, and the business community
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using cloud-native data engineering principles
• Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience
• Build visualizations that tell a story, making the best use of the canvas and leverage intuitive layouts 
• Work with key stakeholders to ensure quality and integrity for products delivered
• Act as a subject matter expert in the design and recommendation of analytical methodologies and approaches

 

Qualifications

• 5+ years of progressive experience in solution development & building of data and analytics products
• 5+ years of experience with Data Engineering, SQL, and data discovery/analysis platforms in a capacity supporting Data & Analytics products
• 3+ years of experience in a business-facing analytical role and a proven track record of related success
• 2+ years of experience with data visualization tools (Tableau, Power BI, MSTR, SSAS, etc.)
• Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts
• Direct experience with Cloud native technologies, data modeling, ETL/ELT development principles, and data warehousing concepts
• Knowledge of data management fundamentals and data storage principles
• Experience in building data pipelines using Python/SQL or similar programming languages
• Demonstratable experience in Airflow, Luigi or similar orchestration engines
• General understanding of cloud data engineering design patterns and use cases 
• Bachelor's degree in Computer Science, Data Science, Statistics, Inform