Requirements:
5+ years of hands-on experience with Databricks development, supported by relevant certifications (proof required).
Proven expertise in building, optimizing, and troubleshooting production-grade ETL pipelines.
Strong experience designing and implementing medallion architecture models (raw, curated, and trusted layers) within Databricks environments.
Solid understanding of dimensional data modeling to support business intelligence, enterprise reporting, and single source of truth initiatives.
Advanced expertise in orchestrating data ingestion, transformation, and integration workflows across multiple systems and data formats.
Ability to interpret operational requirements, convert them into technical solutions, and clearly communicate the business impact of engineering decisions.
Demonstrated ability to take ownership, work independently, and drive projects successfully in dynamic or ambiguous environments.
Experience with Azure Data Lake, Az...