Senior Data Engineer (Databricks, SQL)
Tasks
- Build and maintain semantic models for reporting
- Build lakehouse architectures using Databricks
- Contribute to data engineering architecture decisions and standards
- Create Power BI datasets and dashboards
- Design and implement scalable data pipelines
- Ensure data quality, reliability, and governance
- Migrate Azure Synapse to Databricks
- Optimize Databricks data warehouse for analytics
- Write optimize and tune SQL queries
Perks/Benefits
- Hybrid or remote flexibility
- International projects
- Medical healthcare
- Ongoing learning and reimbursement
- Recognition program
- Referral bonuses
- Sports compensation
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
Apache Spark | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | DAX | Data Governance | Data Warehouse | Databricks | Delta Lake | Kimball methodology | Power BI | SQL | SQL Database | Semantic Modeling | Star Schema | Synapse Analytics
Education
N/A
Roles
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