Data Engineer - Source AI

YOUR QUALIFICATIONS AND SKILLS

• SnowPro Core and/or SnowPro Advanced: Data Engineer certification preferred
• 3+ years of experience in data engineering, with strong Snowflake expertise and a builder mindset
• Hands-on experience with AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) to build MVPs, prototype data pipelines, and accelerate analysis
• Comfort using LLMs and AI agents in day-to-day engineering for code generation, debugging, documentation, and data exploration
• Strong proficiency in SQL (including Snowflake SQL) and Python for transformations, scripting, and automation
• Expertise in building and managing end-to-end Snowflake pipelines using features such as Warehouses, Snowpipe, Streams, Tasks, and Secure Views, with Amazon S3 integration
• Skilled in Snowflake performance optimization, including clustering, materialized views, and query profiling
• Experience with CI/CD for Snowflake using tools such as GitHub Actions
• Knowledge of data governance, secure data integration, and compliance requirements such as PII handling, GDPR, and HIPAA
• Proficiency in working with semi-structured data formats such as JSON, Avro, and Parquet in Snowflake
• Demonstrated success migrating data from legacy systems to Snowflake
  • Strong understanding of data quality frameworks, including validation, monitoring, and anomaly detection