Azure Data Engineer

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.