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Greetings from Tata Consultancy Services (TCS)!
We are seeking experienced Azure Data Engineers with strong expertise in Azure-based data platforms, big data technologies, and modern data engineering practices.
Experience: 5 to 10 Years
Location: Chennai
Technical Skills Required
Strong experience in Azure Data Lake, Azure Databricks, and Azure Data Factory (ADF).
Hands-on expertise in SQL, PySpark, or Scala for building scalable ETL/ELT solutions.
Experience with batch and real-time data ingestion frameworks, including Kafka.
Strong knowledge of large-scale data processing and big data architectures.
Experience with relational and NoSQL databases such as SQL Server, Oracle, Azure SQL, and Cosmos DB.
Hands-on experience with Informatica PowerCenter, Informatica IDMC, or equivalent cloud data integration tools.
Experience with Azure DevOps (AzDO), GitHub, and CI/CD pipeline implementation.
Practical usage of Microsoft Copilot to improve development productivity and data engineering workflows.
Exposure to Generative AI (GenAI) use cases in data platforms and analytics solutions.
Familiarity with enterprise scheduling tools such as Maestro and data management solutions such as Precisely.
Domain knowledge in the Insurance industry, including Policy, Claims, Billing, Underwriting, Actuarial, and Regulatory data processes.
Roles & Responsibilities
Design, develop, and maintain scalable data pipelines using Azure Data Lake, Databricks, and ADF.
Build robust ETL/ELT frameworks for batch and real-time data processing.
Develop data transformation logic using PySpark, Scala, and SQL.
Implement and optimize data ingestion from multiple structured and unstructured data sources.
Work with Kafka-based streaming solutions and large-scale distributed data processing systems.
Develop and maintain CI/CD pipelines using Azure DevOps and GitHub.
Integrate and manage cloud-based data integration solutions using Informatica platforms.
Implement data quality, governance, security, and performance optimization best practices.
Collaborate with business stakeholders, architects, and development teams to deliver data-driven solutions.
Explore and implement GenAI and Copilot-enabled solutions to improve engineering efficiency and analytics capabilities.
Support insurance data modernization initiatives and regulatory reporting requirements.
Preferred Skills
Insurance domain experience.
Strong analytical and problem-solving skills.
Experience working in Agile environments.
Excellent communication and stakeholder management capabilities.
Interested candidates can share their updated CV.
Work arrangement
No
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