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• Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data integration and analytics solutions
• Develop data engineering solutions using Python, PySpark, SQL, and Azure cloud technologies
• Build and optimize batch and real-time data processing pipelines using Azure Databricks
• Develop and orchestrate data workflows using Azure Data Factory (ADF)
• Perform data extraction, transformation, and loading activities from structured and unstructured data sources
• Design and maintain data models, data lakes, and cloud-based data platforms for analytics and reporting requirements
• Optimize data processing through Spark transformations, partitioning, and query tuning techniques
• Collaborate with business analysts, data architects, and engineering teams to deliver scalable data solutions
• Ensure data quality, integrity, governance, and security standards across enterprise data platforms
• Monitor and troubleshoot ETL jobs, pipeline failures,



and performance bottlenecks
• Implement CI/CD and deployment strategies for cloud-based data engineering workflows
• Participate in Agile/Scrum ceremonies including sprint planning, stand-ups, and retrospectives
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• 4–6 years of professional experience in Data Engineering and ETL development
• Solid hands-on experience in Python, PySpark, and SQL development
• Expertise in ETL/ELT pipeline development using Azure Data Factory and Azure Databricks
• Strong understanding of data warehousing concepts, dimensional modeling, and big data processing
• Experience with Azure cloud services including Azure Data Lake, Azure SQL, and Storage Accounts
• Hands-on experience with Spark optimization, data transformations, and distributed data processing
• Experience handling large-scale structured and unstructured datasets
• Familiarity with REST APIs, JSON, Parquet, and Delta Lake
• Understand

📌 ETL Test Engineer (Coimbatore)
🏢 NovintiX
📍 Coimbatore