Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
What You'll Do
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company.
You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What We're Looking For
5+ years experience with data/analytics engineering
5+ years of experience with Python and SQL (preferably Snowflake)
3+ years of experience with dbt (dbt certification a plus)
Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders
Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices
Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable explicit product-focused insights
An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization
Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)
Design