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Cloud-Based Data Solutions Lead
2 months ago
At SMARTWORK IT SERVICES, we're seeking a seasoned Cloud-Based Data Solutions Lead to drive the development of cutting-edge analytics solutions on the Azure platform.
About the RoleWe're looking for an experienced professional with a strong background in Azure Analytics, who can lead and develop cloud-based analytics solutions that drive business insights. The ideal candidate will have expertise in designing and building data pipelines using API and streaming ingestion methods, as well as experience in leading small and large teams to successfully deliver analytics solutions.
The successful candidate will be responsible for providing technical leadership in areas such as data access and ingestion, data processing, data integration, data modeling, database design, and data visualization. They will also engage with Business IT leads, Architects, and stakeholders to understand business requirements and translate them into detailed technical specifications.
We're looking for someone who can analyze current business practices, identify gaps, and design scalable solutions for future business needs. A strong customer engagement skills, with a focus on understanding and meeting customer needs for Analytics solutions is also required.
Key Responsibilities- Design and develop cloud-based analytics solutions on the Azure platform, ensuring scalability and performance.
- Build and manage efficient data pipelines using API and streaming ingestion methods.
- Oversee the design and development of secure and optimized data models.
- Collaborate with cross-functional teams to ensure alignment with business goals and data integration needs.
- Drive and promote the use of best practices for CI/CD processes and infrastructure as code.
To be considered for this role, you should have:
- 7+ years of experience in IT service delivery and operations, with a strong focus on global onshore and offshore business models.
- 5+ years of experience in the Azure Analytics space, including design, development, and deployment of analytics solutions.
- Expert level hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure SQL, SQL scripting, Stream Analytics, Azure Data Lake, and Azure App Service.
- Strong expertise in designing and building data pipelines using API and streaming ingestion methods.
- In-depth knowledge of DevOps processes, including CI/CD and Infrastructure as Code.
The estimated salary for this role is ₹1,200,000 - ₹1,800,000 per annum, based on industry standards and location.