Description

Qualifications:

·      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)

·      Highly proficient in Databricks' core architectural pattern, which combines the best elements of data lakes and data warehouses.

·    Familiar with advanced features like Unity Catalog (for governance), Delta Live Tables (DLT for pipelines), Databricks SQL, and workflow orchestration.

·      Expertise in SQL, Python, data modeling, and distributed processing.

·      Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.).

·      Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm.

·      Strong communication skills and the ability to translate complex technical concepts into solutions that deliver business outcomes.

·      A passion for continued learning and an interest in staying current with the rapidly evolving data and analytics space

Key Skills

Education

Bachelor's degree