Qualifications
Key QualificationsOver 5 years of experience in data and analytics engineering. Proficiency in Python and SQL, with a preference for experience in Snowflake. At least 3 years of experience working with dbt (dbt certification is a plus). Proven track record of managing large-scale data projects that have significantly impacted the organization, collaborating effectively with engineering, data analysts, data scientists, and business stakeholders. Experience mentoring stakeholders in Data Science, Analytics, Product Management, and Engineering on data best practices. Expertise in designing, implementing, and monitoring large-scale data warehouses and data marts to facilitate actionable product insights. Strong command of SQL, including window functions, STRUCT/ARRAY manipulation, and query optimization. Promoted performance best practices tailored to the database engine, including partitions, sort keys, dist keys, clustering, and incremental modeling. Experience designing systems with a test-driven approach to ensure data quality and highlight potential issues within the data flow. Familiarity with ELT (Extract, Load, Transform) processes and tools for data preparation and cleansing. Proficient in using tools like dbt to build robust data transformation pipelines.
About the job
About Us
At Metropolis, we are pioneers in artificial intelligence, utilizing cutting-edge computer vision technology to create seamless, checkout-free experiences in everyday life. Our mission is to transform parking solutions, enabling millions of users to simply 'drive in and drive out' effortlessly. We envision a future where transactions in the physical realm are as swift and convenient as online interactions, allowing everyone to reclaim their most precious resource—time.
Your Role
We are on the lookout for a Senior Analytics Engineer to enhance our Data Engineering and Analytics team. This strategic position is tailored for someone passionate about leveraging data to drive value and equipped with a robust background in analytics engineering. You will play a critical role in making data accessible and actionable, empowering data-driven decision-making across the organization. Collaborating with various product teams, you will lead initiatives that shape our data vision and architecture, ensuring impactful outcomes.
About Metropolis
Metropolis is an innovative company at the forefront of artificial intelligence, dedicated to reshaping everyday experiences through advanced technology. Our goal is to simplify real-world transactions, making them as efficient and frictionless as possible. Join us in our mission to revolutionize how people interact with their environment, enhancing convenience and saving valuable time.