Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates should possess expertise in Data Transformation & Modeling, with strong hands-on experience designing, building, and maintaining reliable data transformation pipelines and scalable data models using expert SQL, modern transformation tools (like dbt), and cloud data warehouses (like Snowflake). Understanding modern data integration patterns (ETL/ELT tools like Fivetran) is key, and a commitment to data quality and reliability through rigorous testing and meticulous attention to detail is essential.
The Analytics Engineer will design, build, and manage robust data transformation pipelines, turning raw data into clean, reliable assets using SQL and modern data transformation tools (like dbt). They will model data effectively within the Snowflake warehouse, ensuring data quality through strong testing practices, and identifying appropriate tools to adopt and discard as the modern data stack evolves with AI. This role involves collaborating closely with teams across Atlan to deliver the data needed to drive decisions and power the company’s growth and AI future.
Unified platform for data management and collaboration
Atlan offers a platform for data management that helps teams access and understand their data while promoting collaboration. Its unique data catalog organizes metadata, reducing data silos and integrating with various industry tools to create a comprehensive data stack. The company uses a pay-as-you-go revenue model, making it flexible for businesses of all sizes, and is known for its strong customer service with quick response times. Atlan's goal is to streamline data management processes, enhancing data accessibility and collaboration for organizations.