Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. Gracenote is the content data business unit of Nielsen that powers innovative entertainment experiences for the world’s leading media companies. Our entertainment metadata and connected IDs deliver advanced content navigation and discovery to connect consumers to the content they love and discover new ones.
Gracenote’s industry-leading datasets cover TV programs, movies, sports, music and podcasts in 80 countries and 35 languages. Common identifiers Universally adopted by the world’s leading media companies to deliver powerful cross-media entertainment experiences. Machine driven, human validated best-in-class data and images fuel new search and discovery experiences across every screen.
Gracenote's Data Organization is a dynamic and innovative group that is essential in delivering business outcomes through data, insights, predictive & prescriptive analytics. An extremely motivated team that values creativity, experimentation through continuous learning in an agile and collaborative manner. From designing, developing and maintaining data architecture that satisfies our business goals to managing data governance and region-specific regulations, the data team oversees the whole data lifecycle.
Role OverviewWe are seeking an experienced Senior Data Engineer with 10-12 years of experience to join our Video engineering team with Gracenote - a NielsenIQ Company. In this role, you will design, build, and maintain our data processing systems and pipelines. You will work closely with Product managers, Architects, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for Business, analytical and operational needs.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL processesArchitect and implement data warehousing solutions and data lakesOptimize data flow and collection for cross-functional teamsBuild infrastructure required for optimal extraction, transformation, and loading of dataEnsure data quality, reliability, and integrity across all data systemsCollaborate with data scientists and analysts to help implement models and algorithmsIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.Create and maintain comprehensive technical documentationMentor junior engineers and provide technical leadershipEvaluate and integrate new data management technologies and toolsImplement Optimization strategies to enable and maintain sub second latency.Oversee Data infrastructure to ensure robust deployment and monitoring of the pipelines and processes.Stay ahead of emerging trends in Data, cloud, integrating new research into practical applications.Mentor and grow a team of junior data engineers.