Azure Data Engineer

17 hours ago

Chennai, India Tata Consultancy Services Full time

I hope you're doing well I came across your profile and was impressed by your extensive experience as an/a (mention role/skill). We have a similar opportunity to join our dynamic team at TCS. Role: Azure Data Engineer Location: Chennai-Magnum Onsite Mode Full Time Interview is Walking drive at Magnum Chennai on Saturday 25-Oct-2025 Experience: 5-10 Years Key Responsibilities - Data Pipeline Development: Design, build, and optimize scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure services for data ingestion and processing. - Data Architecture: Develop and implement scalable data architectures, data warehouses, and data storage solutions (SQL/NoSQL) on Azure. - Data Quality & Security: Ensure data accuracy, consistency, integrity, and security through robust governance and best practice implementation. - Performance Optimization: Monitor, troubleshoot, and optimize data systems and pipelines for optimal performance, efficiency, and cost-effectiveness. - Collaboration: Work closely with data scientists, data analysts, business stakeholders, and solution architects to understand requirements and deliver effective data solutions. - Automation: Implement automated data pipelines and workflows, and contribute to CI/CD (Continuous Integration/Continuous Delivery) using tools like Azure DevOps. - Mentorship: Provide technical guidance and mentorship to junior data engineers. - Documentation: Create and maintain comprehensive documentation for data workflows, processes, and architectures. Required Skills & Experience - Azure Data Services: Deep knowledge of Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and other Azure data services. - Programming Languages: Proficiency in Python, PySpark, and SQL for data wrangling, processing, and query optimization. - Data Warehousing: Expertise in data warehousing concepts, dimensional modeling, and data integration techniques. - Big Data & Databases: Experience with both relational and non-relational databases, big data tools (like Hadoop or Kafka), and data streaming technologies. - DevOps & DataOps: Understanding and application of modern engineering practices like CI/CD, DevOps, and DataOps. - Problem-Solving: Strong analytical and problem-solving skills to troubleshoot and resolve complex data issues. - Communication: Excellent written and verbal communication skills to collaborate with technical and business teams.

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