About Sonata Software
Sonata Software, with over $1.2 Billion Revenue, is a leading AI-first Modernization Engineering company, powered by our unique PlatformationTM framework. Our 6400+ AI Engineers are helping enterprises transform from systems to intelligent business platforms leveraging partner ecosystem to drive speed, efficiency and growth. Our bouquet of Modernization Engineering Services with AI -first approach cuts across Cloud, Data, AI, Dynamics, Test Automation, and Managed Services.
Sonata's AI-led modernization is enabled by a powerful suite of proprietary tools and assets. At the core is the Harmoni.AI Enterprise Platform, which includes Agent Bridge-a governance and observability framework; Agent Builder-a development toolkit for fungible agents integrated into enterprise systems; and the Agent Marketplace-an internal ecosystem for modular, reusable agents.
Headquartered in Bengaluru, India, Sonata Software has a strong global presence, including key regions US, UK, India, Malaysia, Mexico, Australia, DACH (Germany/Switzerland) & Nordics (Finland). We are a trusted partner of Fortune 500 companies in Banking, Financial Services and Insurance; Healthcare and Lifesciences; Telecom, Media, and Technology; and Retail, Manufacturing and Distribution space.
Deep collaborations with partners like Microsoft, AWS, Salesforce, and Snowflake strengthen our ability to deliver cutting-edge AI solutions. Our 30+years of partnership with Microsoft, and being part of the elite Microsoft Inner Circle, places us among the top 1% of global Microsoft partners. Sonata is now among the first companies to earn the Microsoft Frontier Partner Badge Also; Sonata Software is proud to achieve AWS Premier Tier Status in the AWS Partner Network.
Job Title- Data Engineer
Location- Hyderabad
Roles And Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines using AWS services and Snowflake
- Build and optimize data models in Snowflake using dbt following best practices
- Write and optimize complex SQL queries for large datasets
- Implement ELT/ETL processes for ingesting data from multiple sources (databases, APIs, files, streaming)
- Ensure data quality, consistency, and reliability through validation and testing frameworks
- Collaborate with analytics, data science, and business teams to understand data requirements
- Monitor and troubleshoot data pipelines for performance and reliability issues
- Implement and maintain data documentation, lineage, and governance standards
- Apply best practices for security, access control, and cost optimization on AWS and Snowflake
- Participate in code reviews and contribute to data engineering standards
Qualifications & Required Skills
- Strong proficiency in SQL (advanced queries, joins, window functions, performance tuning)
- Hands‑on experience with AWS services, such as:
- S3, Lambda, Glue, Redshift (or similar)
- Step Functions, EC2, CloudWatch (good to have)
- Strong experience with Snowflake:
- Data modeling, clustering, performance optimization
- Practical experience using dbt:
- Models, snapshots, tests, macros, and documentation
- Good understanding of data warehousing concepts and dimensional modeling
- Experience with ETL/ELT tools or frameworks
- Familiarity with version control systems (Git)
- Strong problem‑solving and debugging skills
Why join Sonata Software
At Sonata, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world's toughest problems. You´ll be challenged, but you will not be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, veteran status, marital status, or any other characteristics protected by law.
