Senior Staff Data Engineer

4 days ago


us Brightcove Full time

Data, and how they are used, play a central role at Brightcove and are at the heart of how we make business, product, marketing, and operational decisions. Our centralized Data organization (Analytics, Data Science, and Data Engineering) is a specialized, cross-functional group that collaborates with a variety of departments to drive decisions and provide direction for future growth at Brightcove. The Data Engineering team designs, develops and operates big data services and tools to provide reporting and analytics for our customers and for the business from concept to delivery. We do this on a massive scale, capturing billions of events a day from our video players across the globe. Our team is responsible for deploying to production while delivering differentiated value to our customers. We embrace a variety of current technologies and tools for developing, testing, deploying and monitoring our cloud-based offerings. We are looking for an exceptional Sr. Staff Data Engineer to help build our data platform to scale the business and enable our Analytics and Data organization in solving those challenges. Job Responsibilities  Proactively drive innovation in big data and the execution of our data engineering and data warehouse frameworks and servic Build world class data infrastructure, APIs, and datasets to support delivery and continuous improvement of Brightcove’s video, ad, and recommendation solutions. Understand and translate business needs into data models to support long-term, scalable, and reliable solutions Create logical and physical data models using best practices to ensure high data quality and reduced redundancy Drive data quality across the organization; develop best practices for standard naming conventions and coding practices to ensure consistency of data models and tracking Define and manage SLA’s for data sets and processes running in production Continuously improve our data infrastructure and stay ahead of technology Design a system for data backup in case of system failure Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Software Engineers, Customer Support, Finance, Marketers, Account Management to understand data needs and deliver on those needs Provide technical thought leadership to the team and organization Help mentor and manage junior engineers Qualifications/Experience  10+ years of development experience in Data Engineering and Data Warehousing Bachelor's degree in a quantitative field, e.g. Computer Science, Math, Physics Experience scaling data environments with distributed/RT systems and self-serve visualization environments Advanced proficiency with SQL, Perl, Python, Postgres, REST/GraphQL Experience designing and implementing cloud based and SaaS data warehouse (e.g. AWS, GCP, NoSQL) and developing ETL/ELT pipelines Experience integrating and building data platform in support of BI, Analytics, Data Science, and real-time applications Strong communication skills, with the ability to initiate and drive projects proactively and accurately Experience with containers and container-based deployment, preferably Kubernetes Experience working with version control, continuous deployment and performance monitoring tools, such as Git, TeamCity, Jenkins, SumoLogic, DataDog, and CloudHealth Experience with agile methodologies Experience with ad sell-side providers and video/media processing across OTT, Live, and Video on Demand platforms is highly desired



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