Schedule: Hybrid, 3 days onsite per week (Tuesday and Wednesday required, third day flexible)
What you'll be working on:
- Building and enhancing ETL pipelines for large-scale data processing
- Supporting a major data platform modernization and migration initiative
- Developing a centralized data lake and common data layer
- Working with Snowflake, Snowpipe, Spark, and AWS technologies
- Designing scalable solutions supporting global, multi-region deployments and compliance requirements
- Contributing to bronze, silver, and gold data architecture models
- Helping enable analytics and AI-driven intelligence across multiple business platforms
Required Skills:
- 5+ years of Data Engineering experience
- Strong Snowflake experience (highest priority)
- ETL pipeline development experience
- AWS cloud experience
- Experience with Snowpipe and/or Apache Spark
- Strong SQL skills
Preferred Skills:
- MySQL
- SQL Server
- Experience with AI tools, automation, or AI-assisted development workflows
- Databricks exposure
This is a great opportunity to join a team modernizing legacy data platforms and building next-generation data capabilities from the ground up. The environment is highly focused on scalability, cloud technologies, and enabling advanced analytics and AI initiatives.
