Data Warehouse Engineer
Tasks
- Build ETL or ELT pipelines using Azure Data Factory
- Deliver proof of concept and production implementations using Agile DevOps sprints
- Design scalable data warehouse solutions using Azure Synapse Analytics
- Develop dimensional data models for analytics performance
- Develop reusable ingestion and transformation frameworks
- Evaluate tools against customer requirements
- Implement end to end data pipelines from source to target repositories
- Integrate data pipelines with reporting tools API interfaces and search components
- Perform data validation for accuracy and consistency
- Query and optimize SQL for reporting workloads
Perks/Benefits
- Accreditations
- Annual excellence awards
- Bike to work
- Career development program
- Educational assistance
- Employee assistance program
- Employee discount
- Employee discount scheme
- Enhanced parental leave
- Financial advice
- Fitness classes
- Flexible remote working
- Generous holiday allowance
- Gym discounts
- Incentivized certifications
- Life assurance
- Mentorship coaching
- Mindfulness workshops
- Pension
- Private healthcare
- Quarterly profit share
Skills/Tech-stack
API Integration | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | Data Cleansing | Data Factory | Data Governance | Data Modeling | Data Quality | Data Standardization | Data Transformation | Data Validation | Data profiling | Databricks | Dimensional Modeling | ELT | ETL | Metadata Management | Power BI | REST APIs | SQL | SQL Server | Spark | Synapse Analytics | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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