Data Analytics / AI Engineer

Your new team is tasked with the following: -Maintain the healthy operation of the fleet of scheduled SQL pipelines to ensure proper version management, cost efficiency, security. -Keep the tools relevant and useful through bugs fixing and new features implementation. -Support teams that need to migrate their pipelines from non-golden technologies to dbt by building the expected automations and assistance.

What will you do: -Help manage the fleet of dbt: ensure undisrupted operations (scheduling and execution), up-to-date functionalities and features. -Help deliver an AI-assisted migration from BigQueryRunner (in-house SQL transformation and scheduling tool) to dbt, powered by Honk, client's agentic coding system. -Contribute to building data verification loops (tests, lineage, contract checks) that enable agentic and safe migration from BQ Runner to dbt, as well as other changes to data pipelines. -Help explore open-source and commercial SQL transformation options, as alternatives to dbt-core and perform light-weight technical evaluations and prototyping.

Skills: -Fluent in Python, bash scripting, (Java) -Deep knowledge of the modern analytics data stack (SQL, dbt or other tooling for data pipelines). -Deep and multi-year knowledge of SQL-like languages and data warehouses like BigQuery. -Experience with employing AI code assistants to increase own efficiency. -Familiar with the principles of AI engineering (building products on top of foundational models) -Hands on experience with agentic systems is a huge plus.