What makes you a great fit:

• Architect and Design: Develop scalable data architectures using Databricks, Unity Catalog, Azure Data Lakehouse, Medallion Architecture, and Azure Data Factory.
• Leadership: Lead and mentor a team of data engineers, full stack developers, and QA teams, fostering a collaborative environment.
• Delivery Management: Oversee the entire lifecycle of data engineering projects, ensuring successful data extraction, transformation, and end-user consumption.
• Collaboration: Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to meet data requirements.
• Problem-Solving: Apply strong analytical and problem-solving skills.
• Communication: Exhibit excellent verbal and written communication skills.
• Adaptability: Adapt to changing business needs in a fast-paced environment.
• Innovation: Stay updated with industry trends and integrate new technologies into data engineering practices.
• Extensive experience with Databricks, Unity Catalog, Azure Data Lakehouse, Medallion
• Architecture, and Azure Data Factory.
• Proficiency in Python, PySpark, SQL, and Scala.
• Strong understanding of data modeling, ETL/ELT processes, and data warehousing