3-5+ years as an Analytics Engineer, Data Engineer, or similar role with a strong analytics orientation Strong proficiency with Snowflake Familiarity with AWS analytics services (Redshift, Athena, S3, SageMaker, etc.) Expertise in SQL, Python, and Spark for data processing, automation, and custom integrations Experience with dbt and modern data modeling best practices Hands-on experience with Git-based CI/CD workflows (GitLab preferred) Familiarity with ingestion tools such as Fivetran Proven ability to translate business requirements and metric definitions into robust, scalable data models Strong communication and stakeholder management skills