"Cloud Data Architect", "Data Warehousing Expert", "Azure Databricks Solutions Architect", "Big Data Engineer", "Data Platform Specialist", "Cloud Computing Professional", "Data Science Developer", "Data Solutions Architect", "Cloud Data Solutions Engineer", "Data Engineering Specialist"
2 weeks ago
Job Title: Azure Databricks Solutions Architect
About the Role:
Tata Consultancy Services is seeking an experienced Azure Databricks Solutions Architect to join our team. The successful candidate will be responsible for designing and implementing data platform architecture, deployment, and data migration on Microsoft Azure platform.
- Strong design and development experience in Data Ware House.
- Experience with data platform architecture, deployment and data migration on Microsoft Azure platform.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience in Oracle Data Integrator and/or Informatica ETL tools.
- Experience with Cloud Architecture, design, implementation, and/or support of highly distributed applications.
- Proven in-depth experience with Azure Data Factory, Azure Data lake, Azure Synapse, Azure Databricks, Azure SQL DW and SQL.
- Experience in creating BI visualizations, dashboards and reports using Power BI.
- Good knowledge of Microsoft Azure platform IaaS (compute, storage, networking, etc.) and PaaS (Azure SQL, App Services, AKS, containers, etc.).
- Strong SQL coding skills and knowledge of Python.
- Strong knowledge of DevOps including CI/CD tools, and automation.
- Experience with scoping, estimating, cost analysis and resource planning of projects.
- Good business acumen and ability to translate commercial requirements into technical solutions including ability to communicate technical concepts and their impact to stakeholders at all levels.
Requirements:
• Strong experience with Azure Databricks, Azure Data Factory, and Azure Synapse.
• Experience with big data tools such as Hadoop, Spark, and Kafka.
• Strong knowledge of Microsoft Azure platform IaaS and PaaS.
• Strong SQL coding skills and knowledge of Python.
• Strong knowledge of DevOps including CI/CD tools, and automation.
• Experience with scoping, estimating, cost analysis and resource planning of projects.
• Good business acumen and ability to translate commercial requirements into technical solutions.
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