CookUnity
Food
StaffDataEngineer
“Staff Data Engineer at CookUnity. Skills: data engineering, data pipelines, distributed systems, scalability, production-ready solutions. Design and build net new resilient batch and real-time data pipelines. Design and build data pipelines facilitating the migration from existing disparate data models and data sources, into new data models and databases in production”
What You'll Achieve.
propelling the growth of an enterprise through analytical expertise; provide crucial insights that empower individuals across the company to make better decisions; increasing efficiency; set the engineering foundation and principles across the org; translate data needs into scalable, production-ready solutions; set in place best practices and patterns for the entire CookUnity data engineering org to adopt; help set CookUnity up to scale gracefully for our next years of rapid growth; reduce overall system complexity; enable greater product experimentation; enable product teams to build incredible features faster; power critical products and drive rapid business growth; support fast, efficient decision-making across high-impact product and business use cases
Industry & Context.
solving complex business challenges; solving high-impact problems; making sound decisions even when clear solutions are not readily apparent
What They're Looking For.
Must Have
7+ years of experience in backend software engineering, Proficient in Java, Scala, or Python, deep expertise in data processing tech, writing complex SQL queries, Proven track record of driving innovation within highly technical, distributed teams, driven complex projects to completion, motivated by solving high-impact problems, building for the best user UX, Proven track record in designing, building, and operating robust distributed data platforms (e. g. , Snowflake, Spark, Flink, Kafka), handling large data sets, Demonstrable experience of building, productionalizing, and optimizing real-time and batch data pipelines
Nice to Have
Experience designing data architectures to power a variety of use cases, including enabling experimentation, Be opinionated on engineering best practices, help contribute to our engineering culture, Experience with cloud-native technologies (Kubernetes, containers, etc), Past experience working in a rapid growth company or an early stage startup environment, A passion for food!
What You'll Do.
Design and build net new resilient batch and real-time data pipelines
Design and build data pipelines facilitating the migration from existing disparate data models and data sources
into new data models and databases in production
Champion data reliability and performance
Optimize data models to support fast
efficient decision-making
Partner closely with product
and data science teams to quickly translate evolving business needs into scalable
production-ready data solutions
Shape the future of data engineering at scale
define the long-term roadmap
setting best practices
Coach and level up teammates
How You'll Work.
Team & Collaboration
Partner closely with product, engineering, and data science teams; Coach and level up teammates
Process & Methodology
driven complex projects to completion
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