Senior AI Analytics Engineer

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Описание

• Experience: 5+ years of experience in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI environment. • Technical Mastery: Advanced SQL capabilities. Hands-on expertise with modern data transformation and orchestration frameworks ( dbt , Airflow , Prefect , Dagster ). Deep experience with cloud data warehouses ( Snowflake , Databricks , BigQuery ). • AI Technical Stack: Understanding of feature engineering, AI agentic workflow lifecycles, and evaluation metrics. Experience with deploying AI agentic workflows in production environments. • Business Analysis Skills: Demonstrated ability to occasionally gather business requirements, define key metrics, and translate stakeholder needs into structured data assets. • Software Engineering Principles: Strong experience with version control ( Git ), CI/CD practices for data pipelines, and production code testing.

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