Job Description

Job descriptionJob Title: Azure Synapse Data EngineerLocation: Chennai /Onsite
Experience: 3+ years
Employment Type: Full-timeJob Summary:We are looking for a skilled Azure Synapse Data Engineer to join our digital solutions team. The ideal candidate will have experience in designing and building scalable, production-grade data pipelines using Azure Synapse Analytics or Azure Data Factory. You will work on large-scale data ingestion, transformation, and integration projects across a diverse range of file formats and ensure efficient metadata and governance practices using Azure Purview.Key Responsibilities:

• Develop, test, and maintain data ingestion and transformation pipelines using Azure Synapse or Azure Data Factory.

• Create scalable and robust data solutions capable of handling 1000+ different file formats.

• Design and implement enterprise-grade logging, error handling, and monitoring within data pipelines.

• Develop parameterized pipelines and optimized data structures for performance and maintainability.

• Establish and manage CI/CD pipelines and promote code across Dev Test Prod environments.

• Collaborate closely with cross-functional teams to ensure knowledge transfer and adoption of best practices.

• Implement effective metadata strategies and leverage Azure Purview for data cataloging and lineage.

• Write clean, efficient, and testable code following software development best practices.

• Deliver assigned tasks within scope, timelines, and quality standards.

Required Qualifications:

• Bachelors or Masters degree in Computer Science, IT, Electronics, or a related field.

• Minimum 3 years of hands-on experience with Azure Synapse Analytics or Azure Data Factory.

• Strong experience in building and deploying data pipelines in cloud environments.

• Hands-on experience with CI/CD tools and pipelines (Azure DevOps preferred).

• Proficiency in SQL and working with large-scale datasets.

• Experience working with Azure Purview or similar metadata governance tools.

• Strong communication, collaboration, and documentation skills.

Preferred Skills:

• Experience in power systems or industrial data environments is a plus.

• Understanding of Agile methodologies and DevOps practices.

• Exposure to data warehousing, ETL best practices, and data lake architecture.

What We Offer:

• Opportunity to work with a global R&D team on innovative digital energy solutions.

• Inclusive and collaborative work culture.

• Continuous learning and development opportunities.

Thanks and Regards,Archana patilAssistant Manager - TAPh# 7276527477

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