Data Engineer

Who You Are (Basic Qualifications)
• 3–12 years of experience in data engineering or a closely related role
• Hands-on experience with AWS services such as AWS Glue, AWS Lambda, Amazon
S3, Amazon CloudWatch, and AWS Secrets Manager
• Working experience with Snowflake, including writing optimized SQL and supporting
performance-efficient ELT workflows
• Proficiency in SQL (Snowflake), Python, and PySpark
• Experience using Git for version control and managing codebases for development
and deployment
• Demonstrated use of AI-assisted tools for faster development, troubleshooting,
testing, or documentation
• Exposure to supporting analytics or AI/ML-driven platforms
• Understanding of modern data architectures and distributed data processing
concepts
• Experience working in Agile and DevOps-oriented environments
• Willingness to adopt AI-ready best practices and automation-driven solutions