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As an Analytics Engineer II, you will build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company. You will collaborate with other teams to seek ways to improve our data infrastructure. You will leverage AI to automate workflows and reduce delivery times for building and maintaining DBT models, tests, and the ingestion of new data sources. You will provide self-service and training to the rest of the company to enable data analysts to explore insights using our data infrastructure. This will bring data accessibility to a new level.
What You'll Do
Build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company.
Constantly seeking ways to improve our data infrastructure.
Provide self-service and training to the rest of the company and bring data accessibility to a new level.
Utilize AI tools to automate the development of DBT models and tests, significantly reducing delivery times for the ingestion of new data sources.
What You'll Need
3+ years working as an Analytics Engineer
Excellent in SQL, ETL, Snowflake, and at least one language (ex. Python, Java)
Experienced with DBT or similar tools, assisted with an LLM.
Experienced in cleaning, aggregating, and validating data sets for analytical consumption
Self-starter who is capable of independently researching and designing solutions to a wide range of challenges of a rapidly-scaling business
Able to look beyond the immediate deliverable, find the underlying problem, and solve it
Passionate about constant learning and bringing best practices back to the team
Comfortable in a fast-paced environment, understanding that week-to-week priorities may shift as new business challenges emerge
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