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Senior Data Engineer
Skills
SQLData AnalyticsData Build ToolData EngineeringData GovernanceData PipelinesDatabricks
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's or Master's degree in a related field
- 4 years hands-on experience with DBT Cloud
- 4 years hands-on experience with Databricks development and support
- Strong experience building and maintaining semantic data models
- Strong experience with SQL Python and PySpark
- Experience building ELT/ETL pipelines in cloud data environments
- Hands-on experience with Databricks Auto Loader and Delta Lake
- Experience with Medallion Architecture and modern lakehouse patterns
- Strong understanding of data modeling concepts and analytics engineering practices
Nice to have
- Hands-on
- Collaborative
- Detail-oriented
- Analytical
- Problem-solver
Day to day
- Develop and maintain DBT models semantic layers and analytics-ready datasets for enterprise reporting
- Build and support Databricks pipelines using modern data engineering practices and scalable ELT patterns
- Design Medallion Architecture layers and strengthen data governance quality testing documentation and metadata management