Manager, Data Engineering

Job Description

Responsibilities
Welcome to Peacock, the dynamic new streaming service from NBCUniversal. Here you'll find more than a job. You'll find a fast-paced, high-flying team for unique birds that want to be at the epicenter of technology, sports, news, tv, movies and more. Our flock works hard to connect people to what they love, each other and the world around them by creating shared experiences through culture-defining entertainment.

As a company, we embrace the power of difference. Our team is committed to creating an organization that champions diversity and inclusivity for all by curating content and a workforce that represents the world around us. We continue to challenge ourselves and the industry by being customer-centric, data-driven creatures of innovation. At Peacock, we are determined to forge the next frontier of streaming through creativity, teamwork, and talent.

Here you can fly to new heights!

Role Summary 

NBCU Entertainment is looking for a motivated Manager, Data Engineering that can deliver results in a fast-paced environment. In this position, you will Analyze various data sources and build Data Engineering pipelines for NBCU Entertainment networks including NBC, Bravo, SyFy, USA, E! and Telemundo.

The ideal candidate is an experienced data engineer who has previous success building data transformation at a large organization. This person must have had success in building and maintaining Data Engineering pipelines to solve complex problems across areas such as forecasting, marketing, product, and monetization. This candidate will also be expected to deploy machine learning models at scale for consumer facing products with millions of users.

Essential Responsibilities 
• Help coordinate with Business Intelligence Analysts and work with onsite/offshore Data Engineers and own deliverables.
• Build out data engineering pipelines and optimizations of a cloud-based Data Lake, Data Warehouse, and File System.
• Work in an onsite and offshore team model to build out ETLs to support Business Intelligence initiatives, including real-time processing, distributed computing, & containerized solutions.
• Help in Data QA and ensure required auditing and alerts are implemented for every data engineering pipeline.
• Create, define, and document processes & Help in data governance initiatives within the organization.

Qualifications/Requirements
• Bachelors or Masters degree required from a quantitative field from such as Data Science, Engineering, Mathematics or Statistics
• 7+ years of applied experience in Data Engineering.
• Experience with processing large datasets and building models using SQL, Python and/or other data engineering tools.
• Experience working on AWS eco-system and services such as S3, EC2, EMR, Glue, Redshift and/or Snowflake Datawarehouse
• Knowledge in distributed processing frameworks such as Spark and/or Hadoop.
• Strong interpersonal skills. Ability to partner and earn the trust of constituents.
• Expert at integrating 1st, 2nd and 3rd party data.
• Experience in large media, technology, ecommerce, or other subscription-based company

Jobcode: Reference SBJ-roebx3-3-145-111-125-42 in your application.