Senior Data Engineer

4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer). Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling. Expertise in Python and/or Java, with proficiency in SQL. 5+ years of experience in designing and building scalable data solutions. Ability to write tested, resilient, and well-documented code. Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus). Ability to take ownership and drive projects from concept to completion. Natural ability to manage multiple initiatives and clients simultaneously. Skilled in writing analytical SQL, with an understanding of performant SQL. Experience in translating business requirements into technical solutions. Ability to communicate complex ideas simply to a wide range of audiences. Experience in providing technical guidance and direction on projects.

Build infrastructure for analytics and data science teams. Assist clients in migrating business intelligence and data warehouse solutions to Google Cloud. Design, develop, and optimize robust data pipelines. Design and implement new data warehouse and data mart solutions. Architect, maintain, and troubleshoot cloud-based infrastructure. Collaborate with technology partners like Google Cloud, Snowflake, dbt, and Looker. Collaborate in an agile environment with data engineers, BI analysts, data scientists, and machine learning experts. Implement software engineering best practices in analytics processes.