Senior Big Data Engineer in Intellias

Пряме повідомлення учасника, який розмістив вакансію, з Intellias Tatyana Rudchenko Tatyana Rudchenko Client makes smart cutting machines that work with an easy-to-use app, an ever-growing collection of materials, and crafting essentials to help you design and personalize almost anything — custom cards, unique apparel, everyday items, and so much more.Who they are is a bustling worldwide community, a means for connection, and an outlet for unbridled creativity.We ask tough questions, entertain ideas outside of our own, and work together to make something bigger than ourselves. With Client growing in China, the U.K., Australia, New Zealand, as well as Europe and South America, we’re on an unstoppable roll, satisfying that innate creative itch around the world.Client is looking for a Senior Big Data Engineer to join their Data Platform team supporting the future of AI/ML. The ideal candidate will design, build, and integrate data from various resources, and manage big data pipelines that are easily accessible with optimized performance of Client's big data ecosystem.The ideal candidate is an experienced data wrangler who will support software developers, database architects and data analysts on business initiatives. You must be self-directed and comfortable supporting the data needs of cross-functional teams, systems and technical solutions.Requirements:5 + years of experience leading Modern Data platforms and solving business problems using data and advanced analytical methodsExperience with Cloud data stack solutions such as AWS, GCP, Azure, Snowflake, DBT, Airflow, StitchExperience writing production level code for data pipelines and real time applications, and contributing to a large code repositorySignificant experience working with structured and unstructured data at scale and comfort with a variety of different stores (key-value, document, columnar, etc.) as well as traditional RDBMSes and data warehouses.Responsibilities:Data Engineering Stack: Structure big data infrastructure in accordance with the current and future technology roadmap of Client. Develop, architect and implement core data engineering and data warehouse frameworks in support of key company data initiatives e.g. personalization, customer data platformData Quality & Governance: Design and build data quality monitoring framework to ensure data completeness and data integrity in data platform. Champion security and governance and ensure data engineering team adheres to all company guidelinesData Integration: Lay down the solid foundation of Data integration of new data sources. Provide direct and ongoing leadership for a team of individual contributors designing, building & maintaining highly scalable, predictable, and modern data pipelineCollaboration: Partner with with front end team to design efficient Data ModelWork closely with Business Intelligence and Data Science team to provide data platform as a ServiceWork with Data Science team to deploy ML models Show more Show less Position level Senior secondary level Type of employment Full time Job duties Engineering Industries Engineering services