Senior Data Analytics Engineer
Tasks
- Build and maintain data lakes
- Build and maintain data pipelines
- Build and maintain databases
- Collaborate with clients to gather requirements
- Create dashboards
- Deliver solutions and documentation
- Design dimensional data models
- Develop SQL queries
- Develop and maintain data pipelines using Azure
- Develop data warehouse solutions
- Develop lakehouse solutions
- Develop reporting and analytics
- Perform data ETL and ELT
- Profile data and detect anomalies
- Transform and model data
Perks/Benefits
- 401k match
- Company-Paid Holidays
- Dental insurance
- Flexible spending
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
- Training and development
- Vision insurance
Skills/Tech-stack
Agile | Anomaly Detection | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Synapse | Continuous Delivery | Continuous integration | Data Factory | Data Warehouse | Data profiling | Dimensional Modeling | ELT | ETL | Kimball methodology | Lakehouse | Medallion Architecture | Microsoft Fabric | Python | Relational Database | SQL
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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