Azure Data Engineer / Developer Jobs in TCS Chennai – Expertise in ADF, Databricks, AWS Data Lake
Job Description
🔍 Summary: Azure Data Engineer / Developer Jobs in Chennai – Expertise in ADF, Databricks, AWS Data Lake
Looking for an exciting career as an Azure Data Engineer or Big Data Developer in Chennai? Join a leading technology firm seeking skilled professionals with hands-on experience in Azure Data Factory (ADF), HDInsight, Azure SQL, PySpark, Python, and modern data platforms like MS Fabric and Data Mesh. Ideal candidates will also have expertise with Databricks on AWS, Apache Spark, AWS S3 Data Lake, and AWS analytics tools such as AWS Glue, Redshift, and Athena. If you’re passionate about building scalable data solutions and want to work on cutting-edge cloud technologies, this role offers excellent growth opportunities.
📋 Job Details at a Glance
| Job Title | Azure Data Engineer / Big Data Developer |
|---|---|
| Location | Chennai (Pan India opportunities available) |
| Company | Leading Technology Firm |
| Experience Required | Hands-on experience with Azure, AWS, and Big Data |
| Shift | Day shifts / Flexible |
| Education | Bachelor of Engineering (B.E./B.Tech) |
| Key Tools & Technologies | ADF, HDInsight, Azure SQL, PySpark, Python, MS Fabric, Data Mesh, Databricks on AWS, Apache Spark, AWS S3, AWS Glue, Redshift, Athena |
| Job Function | Technology / Data Engineering |
| Job ID | 371236 |
| Application Deadline | 31-Dec-2025 |
🛠️ Key Responsibilities
- Develop, deploy, and maintain data pipelines using Azure Data Factory (ADF) and HDInsight
- Build scalable big data solutions leveraging Azure SQL, PySpark, and Python scripting
- Implement data mesh architectures and manage data workflows with MS Fabric
- Work extensively on Databricks in AWS environments with Apache Spark
- Manage data storage and processing using AWS S3 Data Lake, AWS Glue, Redshift, and Athena
- Optimize data streaming and batch processing with tools like Spark SQL, Spark Streaming, and Kafka (preferred)
- Collaborate with cross-functional teams to design and implement cloud-based data solutions
- Monitor and maintain data pipelines using tools such as AWS CloudWatch and orchestrate workflows with Airflow (optional)
💡 Skills & Technologies
- Strong expertise in Azure Data Factory (ADF), HDInsight, Azure SQL, PySpark, Python
- Experience with Databricks on AWS, Apache Spark, and AWS S3 Data Lake
- Knowledge of AWS Glue, Redshift, and Athena for data cataloging and querying
- Preferred skills: Spark SQL, Spark Streaming, Kafka, AWS Lambda, AWS CI/CD pipelines
- Familiarity with machine learning frameworks like MLflow, TensorFlow, or PyTorch is a plus
- Experience with workflow orchestration tools such as Apache Airflow and monitoring tools like CloudWatch
🎓 Qualifications
- Bachelor’s degree in Engineering (B.E./B.Tech) or related technical field
- Proven hands-on experience with cloud data platforms and big data technologies
✅ Why Join Us?
- Work with cutting-edge cloud and big data technologies in a dynamic environment
- Collaborate with industry experts on innovative data engineering projects
- Enjoy opportunities for career growth and skill enhancement
- Flexible work location with options across Pan India
- Competitive salary and benefits package
🚀 Apply Now
Ready to advance your career as an Azure Data Engineer or Big Data Developer? Don’t miss this opportunity to join a leading technology company.