Azure Data Engineer

1 day ago


Chennai Tamil Nadu India, Tamil Nadu 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-2025Experience: 5-10 YearsKey ResponsibilitiesData 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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