Digital Senior Engineer

Azure Fabric Data Engineer with Gen AI Location- Bangalore / Hyderabad / Chennai Roles and Responsibilities Key Responsibilities We are looking for a Azure Fabric Data Engineer with Gen AI with 6–8 years of experience in designing and developing scalable data engineering solutions using Azure Data Factory (ADF), Microsoft Fabric, PySpark , SQL, and modern cloud data platforms . The ideal candidate should have strong hands-on experience in ETL/ELT development, data modeling, SQL Stored Procedures, Azure Data Lake Storage, and data warehouse concepts .

About Sonata Software

Powered by its Platformation ™ framework and platform, Sonata delivers AI-led modernization across cloud, data, AI, Dynamics, test automation, and managed services.

Headquartered in Bengaluru, India, Sonata has more than $1.2 billion in revenue and 6,400+ AI engineers supporting global delivery across regions including the US, UK, India, Malaysia, Mexico, Australia, DACH, and the Nordics.

With deep partnerships across Microsoft, AWS, Salesforce, and Snowflake, Sonata helps Fortune 500 enterprises accelerate innovation, improve efficiency, and drive sustainable growth.

For more information, please visit

Responsibilities

• Experience with Microsoft Fabric, Fabric Notebooks, PySpark , and AI-assisted development tools such as Claude/Claude Code or GitHub Copilot will be an added advantage.
• Develop data engineering solutions using Fabric Notebooks, PySpark , and SQL .
• Analyze, transform, integrate, and process data from multiple sources.
• Develop and maintain Lakehouse, Data Warehouse, and Medallion Architecture implementations.
• Develop and optimize complex SQL queries, T-SQL, and Stored Procedures .
• Design and implement effective data models , including Fact/Dimension structures and Star Schema.
• Ensure data quality, consistency, governance, security, validation, reconciliation, and exception handling.
• Contribute to scalable and reusable data engineering frameworks and solutions.
• Azure & Cloud Data Engineering Work extensively with Azure Cloud architecture and data services .
• Collaborate with Solution Architects and technical stakeholders to design scalable and reliable cloud data solutions.
• Troubleshoot data pipelines, integration issues, and production incidents.
• Participate in technical design discussions, code reviews, and production support activities.
• AI-Assisted Engineering Leverage AI-assisted development tools such as Claude, Claude Code, GitHub Copilot, and Microsoft Fabric AI capabilities to improve development productivity.
• AI-assisted techniques for coding, debugging, documentation, unit testing, optimization, and troubleshooting .
• Identify opportunities to use Generative AI to automate repetitive data engineering and development activities.
• Follow organizational guidelines and best practices when using AI-assisted development tools.
• & Delivery Work closely with Product Owners, Business SMEs, Data Analysts, Data Scientists, BI Developers, QA teams, and Architects to understand requirements and deliver data solutions.
• Participate in Agile ceremonies, technical discussions, design reviews, and code reviews.
• Support data consumers and stakeholders with technical troubleshooting and data-related requirements.
• Contribute to coding standards, engineering best practices, documentation, and reusable components.
• DevOps & Automation Implement CI/CD pipelines using Azure DevOps and/or GitHub .
• Follow Git-based version control and branching best practices.
• Automate deployment, testing, monitoring, and operational processes.
• Follow modern DataOps and engineering practices for continuous and reliable delivery.

Requirements

• 7 – 12 Years Data Engineering & Platform Development Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Data Factory .
• Work with Azure Data Lake Storage Gen2 (ADLS Gen2) and other Azure data services.
• Skills 7 – 12 years of hands-on experience in Data Engineering .
• Strong hands-on experience with Azure Data Factory (ADF) .
• Strong knowledge of Azure SQL Database / SQL Server, T-SQL, and Stored Procedures .
• Strong understanding of data modeling and data warehouse concepts .
• Experience with Azure Data Lake Storage Gen2 (ADLS Gen2) .
• Hands-on experience with ETL/ELT pipeline development and data integration .
• Good knowledge of Python .
• Working knowledge of PySpark and Fabric Notebooks.
• Good understanding of Microsoft Fabric , including Lakehouse, Warehouse, and Data Factory.
• Experience with Azure DevOps and Git .
• Strong analytical, problem-solving, troubleshooting, and communication skills.
• Qualifications & Required Skills - BE/
• / Any Engineering Mandatory skills- Azure Data Factory | Microsoft Fabric | Fabric Notebooks | PySpark | SQL | T-SQL | Stored Procedures | ADLS Gen2 | Data Modeling | Lakehouse | Data Warehouse | Azure DevOps | Git | Python | Claude | Claude Code | GitHub Copilot A BOUT SONATA SOFTWARE Sonata Software is an AI-first modernization engineering company that helps enterprises transform legacy systems into intelligent, scalable business platforms.