MasterClass
San Francisco, CA | #engineering
What we are looking for:Data, and how they are used, play a central role at MasterClass and are at the heart of how we make business, product, content, and operational decisions.
Our growing Analytics, Data Science, and Data Engineering teams sit at the core of the company and collaborate with a variety of departments to drive decisions and provide direction for future growth at MasterClass.
The team tackles challenging problems across many technical disciplines, including time series forecasting, causal inference, optimization, and machine learning.
We are looking for an exceptional Senior Data Engineer to help build our data platform to scale the business and enable our Analytics and Data organization in solving those challenges.Responsibilities of the role:Proactively drive the execution of our data engineering, business intelligence, and data warehouse roadmapUnderstand and translate business needs into data models to support long-term, scalable, and reliable solutionsCreate logical and physical data models using best practices to ensure high data quality and reduced redundancyDrive data quality across the organization; develop best practices for standard naming conventions and coding practices to ensure consistency of data models and trackingDefine and manage SLA’s for data sets and processes running in productionContinuously improve our data infrastructure and stay ahead of technologyDesign a system for data backup in case of system failureBuild strong cross-functional partnerships with Data Scientists, Analysts, Product Managers and Software Engineers to understand data needs and deliver on those needsRequirements:4+ years of experience in Data Engineering and Data WarehousingBachelor's degree in a quantitative field, e.g.
Computer Science, Math, PhysicsExperience scaling data environments with distributed/RT systems and self-serve visualization environmentsAdvanced proficiency with SQL, Perl, Python, Postgres, REST/GraphQLExperience designing and implementing cloud based and SaaS data warehouse (e.g.
WS, Hadoop, NoSQL) and developing ETL/ELT pipelinesExperience integrating and building data platform in support of BI, Analytics, Data Science, and real-time applicationsStrong communication skills, with the ability to initiate and drive projects proactively and accuratelyWork full-time in our San Francisco officeAt MasterClass, we believe we put our best work forward when our employees bring together ideas that are diverse in thought.
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
In addition, MasterClass will provide reasonable accommodations for qualified individuals with disabilities.
If you have a disability or special need, we would like to know how we can better accommodate you.
How to Apply
Please follow the application procedure at stackoverflow.com for more info.
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