Experience: 4+ years
- Design and deploy data infrastructure needed to drive data-driven decision-making solutions
- Design and implement complex data orchestration models, modeling metadata, scaling reporting tools for data science and ML products users
- Be the company's expert on data administration, data management and scalable data systems
- Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses
- Work with the Product and Enterprise Engineering system teams to structure source systems for reporting consumption across the enterprise
- Help develop front end applications to expose analytical data sets enterprise wide
- Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.
- Have experience with common analytics tooling (e.g. Stitch/Fivetran, Snowflake/BigQuery/Redshift, dbt, Airflow, Dagster).
- Have good working knowledge of AWS data infra systems and Terraform.
- Bring a system-oriented and software engineering mindset to the Data Engineering practice. We're looking to build frameworks that manage data, and minimize bespoke queries
- Deep knowledge of crafting dimensional and fact models in modern data fashion
- Have a passion for enabling the developer experience of data, and being obsessed with giving data super powers across the company.
- Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing
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