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Azure Databricks Developer at TCS
Job Description & How to Apply Below
As a key member of TCS, you will develop data ingestion pipelines using PySpark, implement Medallion Architecture, and optimize Spark jobs for large-scale processing. Your expertise will be vital in migrating legacy workflows to Databricks and creating Azure-native applications, enhancing client transformations through data-driven solutions.
Key Responsibilities:
• Design scalable ETLELT solutions on Azure Databricks
• Develop and optimize data ingestion and transformation pipelines
• Implement Azure Medallion Architecture for efficient data management
• Build optimized Delta Lake solutions for large datasets
• Automate deployment using Infrastructure-as-Code solutions
Requirements:
• Strong experience with Azure Databricks and Py Spark
• Proficiency in .NET and developing REST APIs
• Familiarity with Azure Functions and cloud-native architectures
• Skills in automating and optimizing data processing tasks
• Experience with Azure Well-Architected Framework principles
Leverage your expertise to create impactful Azure solutions at Tata Consultancy Services.
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