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Azure Senior Data Engineer

Tata Consultancy Services · Bengaluru, Karnataka, India - Chennai, Tamil Nadu, India - Hyderabad, Telangana, India

~₹22L (est.)6–14 yrs experiencefull_timePosted 1w ago

Job description

Greetings from TCS!!! TCS presents an excellent opportunity for **Azure Senior Data Engineer** **Role**: Azure Senior Data Engineer **Desired Experience Range**: 8-12 years **Location**- Chennai, Bangalore, Kolkata, Pune, Hyderabad, Delhi. **Job Requirements** - - You contribute to the design and implementation of the Azure data platform. - You develop and deploy end-to-end data applications leveraging the Azure data platform. - You have experience with ADF, Azure data analytics services (Data Factory, ADLS, Synapse, SQL Server, Databricks, ML). - You are familiar with data technologies (Pyspark, python/pandas, SQL). - You have knowledge of state-of-the-art software engineering best practices and tools (Git, CI/CD, tests, Pipelines, Bitbucket, Jenkins, Azure DevOps,ADF). - You are familiar with Infrastructure-as-Code (Terraform). - You have experience in handling migrations from legacy DW platforms to Azure Data Platform - You have knowledge of SAP systems and should be able to use appropriate SAP Connectors and SAP DW experience to integrate SAP data to Azure Data Platform. - You work with Data Architects and Platform Architects to ensure your work is aligned with aligned with the requirements and architecture. - You work with the Security & Infrastructure teams to ensure data assets and data products are integrated and secured. - You work independently, prioritize multiple stakeholders and tasks, and manage work time effectively. - You have Strong analytic skills related to working with unstructured datasets - You participate in the definition of standards, guidelines and best practices and make sure to respect them. - You remain up to date with latest trends and technologies and identify potential impact of market trends in your tasks. **Roles & Responsibilities-** - Developing and deploying **synapse data pipelines in Azure cloud** - Analyze, develop and implement database designs, data models and logical data specifications - Data transformation skills using the pyspark notebooks and databricks workspace/synapse spark pool. - Code quality, security, performance measure. - Troubleshooting and debugging.