You will design and deploy data architecture and analytical solutions within an Azure cloud environment, owning the full lifecycle from on-premises migration to cloud optimization.
Responsibilities
- Design data architecture and strategies for efficient structured and unstructured data storage and retrieval.
- Build custom applications and BI efforts using Azure Data Factory, Synapse, Fabric, and Power Automate.
- Integrate data management technologies, modeling approaches, and change data capture techniques.
- Develop automation and API integrations using Java or Python.
- Optimize queries and fine-tune database configurations to resolve performance bottlenecks.
Required Skills
- 6+ years of experience as a Data Engineer, Data Architect, or Software Developer.
- In-depth knowledge of Azure cloud services and relational database design principles.
- High proficiency in T-SQL, ADF Pipelines, and SSIS packages.
- Experience with Lift and Shift of existing on-premises processes.
- Experience setting up Azure DevOps integration with cloud services and CI/CD processes.
- Expertise in data warehousing, performance tuning, and optimization.
- Hands-on experience with Qlik, OpenText, and SAP Datasphere.
- Proficiency in Java or Python for automation.
Preferred Skills
- Experience with Azure Synapse, Logic Apps, and Microsoft Fabric.