Description
• 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.
Company and the link to apply — after you sign in.
Sign inEmployer contacts (email/phone/telegram) are hidden from the public preview —
send your CV, and we will connect you directly.