Data Engineer (Python, SQL & Data for AI)

Role Overview
We are looking for a Data Engineer to build and maintain reliable data systems that support analytics, applications, and AI initiatives.

Key Responsibilities

• Build and maintain data ingestion and ETL/ELT pipelines.
• Design, model, and document data in a cloud data warehouse.
• Implement data quality checks, monitor pipelines, and troubleshoot failures.
• Partner with product and AI teams to make trusted data available for new use cases.
• Optimize queries, pipeline performance, and cloud costs.

Required Qualifications

• Professional experience building and maintaining data pipelines.
• Strong Python and SQL skills.
• Experience with at least one cloud data warehouse, such as BigQuery, Snowflake, or Redshift.
• Experience with dbt or a comparable transformation tool, as well as pipeline orchestration.
• Familiarity with testing, Git, and deployment practices.

Nice to Have

• Experience with Airflow, streaming data, or change data capture (CDC).
• Experience with GCP, AWS, or Azure.
• Experience preparing data for retrieval-augmented generation (RAG) applications.