Design, build, and operate high-performance BI-centric solutions
Enable and support the intelligence strategy
Collaborate on data solutions
Support intellectual curiosity and continuous learning
Lead one or more project teams of other data engineers
Review and evaluate designs and project activities for compliance
Drive innovation and integration of new technologies
Create and maintain optimal data pipeline/ETL architecture
Collaborate with businesses, application and process owners
Build infrastructure for optimal extraction, transformation, and loading of data
Perform data modeling and prepare data in databases for analytics tools
Provide necessary technical support through all phases of the solution life cycle
Independently handle complex issues with minimal supervision

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent
Typically 6-10 years’ experience.
Databricks for data engineering, analytics, and machine learning workflows
Python and SQL programming and advanced ETL pipelines
Lakeflow and Spark-based big data processing and orchestration on Databricks
GitHub, CI/CD, Databricks Asset Bundles, and modern software engineering practices applied to data engineering
Strong analytical and problem-solving skills.
BI and reporting tools (Tableau) (Nice to Have)
Collaboration and Agile (Jira, Confluence, Scrum, Kanban) (Nice to Have)
Experience with NoSQL and relational systems (Nice to Have)
A current Databricks Certified Data Engineer certification (Nice to Have)
Team Leadership and Data Ops skills (Nice to Have)

Senior Data Engineer

Key skills