Data Senior Engineer

Req ID: 395329 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Senior Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN). Data Engineer Role: Required Experience & Skills 5–8 years of hands-on data engineering experience, with strong expertise in SQL, data modeling, ETL/ELT, and scalable data pipeline development . Advanced SQL Server/T-SQL skills , including complex query development, performance optimization, stored procedures, and data reconciliation/validation techniques. Hands-on proficiency in Python/PySpark for data engineering, automation, reusable data-processing solutions, and testing. Experience designing and implementing cloud-based data solutions , preferably using Azure technologies such as Microsoft Fabric, Azure Data Factory, Databricks, Azure SQL , and related services. Strong understanding of data quality, lineage, governance, monitoring, reconciliation, exception handling, and production reliability . Strong analytical and problem-solving skills , with the ability to investigate complex data issues, identify root causes, validate large data sets, and develop practical solutions. Demonstrated ability to work independently and proactively , take end-to-end ownership, drive work with limited supervision, and follow issues through to resolution. Self-driven and automation-focused mindset , with a strong emphasis on engineering efficiency, repeatability, testing, maintainability, and continuous improvement. Strong collaboration and communication skills, with the ability to translate business and technical requirements into reliable data solutions. Experience supporting BI, analytics, data science, and AI-enabled workloads. Preferred / Plus Experience with JSON and REST API integrations , including data ingestion, transformation, validation, error handling, and enterprise platform integration. Hands-on experience with Azure DevOps, Git-based development, and automated CI/CD pipelines , including environment-based deployment processes across development, test, and production. Experience with SQL Server database projects and DACPAC build/deployment automation , including schema comparison, controlled promotion, validation, and CI/CD-based database deployments. Property & Casualty insurance experience and insurance data-modeling knowledge , particularly across policy, premium, claims, exposure, finance, and reinsurance data. Hands-on experience using Claude/Claude Code or similar AI-assisted development tools for data/software engineering, code review, testing, troubleshooting, and engineering productivity. Experience incorporating AI-assisted development into governed engineering workflows with appropriate code review, testing, security, and deployment controls. Experience with Microsoft Fabric, Databricks, Azure ML/Azure AI, and modern cloud-native data engineering practices. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. 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