10+ years of IT experience, including deep expertise in data engineering & ETL.
4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines.
Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM, networking).
A passion for continued learning and an interest in staying current with the rapidly evolving data and analytics space.
Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm.
Expertise in SQL, Python, data modeling, and distributed processing.
Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.).
Strong communication skills and the ability to translate complex technical concepts into solutions that deliver business