Data Engineer (Python, Snowflake, AWS & DBT) - AI, Data & Platforms - Principal

📋 Description

• Design, build, and maintain data pipelines for batch and real-time processing.
• Build data ingestion frameworks from multiple sources.
• Develop and optimize ETL/ELT workflows using dbt.
• Ensure data quality, integrity, availability, and security across platforms.
• Collaborate with analytics, data science, and product teams.
• Model data for analytics (dimensional modeling, star/snowflake).

🎯 Requirements

• 13+ years of experience with Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent).
• Strong SQL skills with relational and NoSQL databases.
• Hands-on with data processing frameworks (Spark, Flink, or similar).
• Proficiency in Python, Java, or Scala.
• Experience building data pipelines with workflow orchestration tools (Airflow, Dagster).
• Hands-on dbt experience for developing, testing, and documenting analytics-ready data models.

🎁 Benefits

• Equal opportunity employer.
• Reasonable accommodations provided.
• Growth and learning opportunities in a collaborative tech team.