Sr. Applied Data Engineer - NBC Sports Next

JOB SUMMARY: Applied Data Engineer role is responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. The role will be hands-on and will be responsible for helping business drive data-driven decisions and solving business opportunities through data. This role will be leading improvements of existing data solutions and development of new solutions by scoping, implementing, and testing in order to address business requirements. KEY RESPONSIBILITIES: Act as a company-wide consultant leveraging knowledge of existing data structures and business knowledge to solve problems Own the vision for analytical systems (or subsystems), be accountable for integrating these systems into existing business process and software, and design and maintain the consolidated product roadmap for future ongoing evolution of these systems Be an expert in the data, including source systems, design data integration solutions, data validation, and data testing processes Be an expert in our applications, understand how our systems and applications receive data, how it is stored and used, and the underlying processes that leverage it Be a problem solver, when presented with new challenges, you are expected to research and network to find solutions Be a hands-on data expert who can design, build and manage our data pipelines Be a hands-on with developing and implementing robust and fault tolerant system for data ingestions and processing. Seek out answers to business problems, and look for opportunities to automate processes Collaborate with partners, App Engineering, Decision Science, Finance, Revenue Management, Marketing, and Sales throughout the development process to ensure solutions are built cohesively and meet requirements Proactivity communicates with technical and non-technical stakeholders, seek to learn, and understand, and potentially challenge existing processes in order to continuously seek improvement efficiencies Hands-on with database design, and architecture methodologies and development life cycle Hands-on experience with distributed processing technologies and frameworks, such as Hadoop, Flink, and distributed storage system (HDFS, S3) Hands-on experience with ensuring security, integrity, and compliance of data according to industry and company standards