Serve as a technology champion with strong expertise in relational and data-warehouse systems, advanced SQL query authoring, and familiarity with diverse database technologies
Job Summary
Serve as a technology champion with strong expertise in relational and data-warehouse systems, advanced SQL query authoring, and familiarity with diverse database technologies.
Build trusted relationships and communicate effectively with developers, architects, and business stakeholders to influence outcomes and drive alignment.
Drive efficiency across pilots and future projects to reduce costs, speed up implementation, and maximize business value.
Matching Summary
Serve as a technology champion with strong expertise in relational and data-warehouse systems, advanced SQL query authoring, and familiarity with diverse database technologies.
Skills & Requirements
Must-have
Databricks expertise
Azure Databricks
Python, SQL, Spark SQL, PySpark
Data Foundation practices
end-to-end pipeline development
relational and data-warehouse systems
Nice-to-have
curious mindset
passion for technology innovation
storytelling abilities
stream-processing systems familiarity
data science concepts knowledge
Key Requirements
9-12 years of experience in Data Engineering
Bachelor’s degree in Computer Science, Information Technology, or related field
Databricks Professional or Data Science certifications