{"id":4111417,"url":"https://alion.io/job/ntt-data-data-senior-engineer-5","title":"Data Senior Engineer","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":93,"open_postings":109,"ghost_share":0,"stale_share":0.486,"repost_share":0.009,"time_to_fill_p50_days":18,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-11T12:09:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T23:22:52Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Req ID: 395329\nNTT 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.\nWe are currently seeking a Data Senior Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).\nData Engineer Role:\nRequired Experience & Skills\n5-8 years of hands-on data engineering experience, with strong expertise in SQL, data modeling, ETL/ELT, and scalable data pipeline development.\nAdvanced SQL Server/T-SQL skills, including complex query development, performance optimization, stored procedures, and data reconciliation/validation techniques.\nHands-on proficiency in Python/PySpark for data engineering, automation, reusable data-processing solutions, and testing.\nExperience designing and implementing cloud-based data solutions, preferably using Azure technologies such as Microsoft Fabric, Azure Data Factory, Databricks, Azure SQL, and related services.\nStrong understanding of data quality, lineage, governance, monitoring, reconciliation, exception handling, and production reliability.\nStrong analytical and problem-solving skills, with the ability to investigate complex data issues, identify root causes, validate large data sets, and develop practical solutions.\nDemonstrated ability to work independently and proactively, take end-to-end ownership, drive work with limited supervision, and follow issues through to resolution.\nSelf-driven and automation-focused mindset, with a strong emphasis on engineering efficiency, repeatability, testing, maintainability, and continuous improvement.\nStrong collaboration and communication skills, with the ability to translate business and technical requirements into reliable data solutions.\nExperience supporting BI, analytics, data science, and AI-enabled workloads.\nPreferred / Plus\nExperience with JSON and REST API integrations, including data ingestion, transformation, validation, error handling, and enterprise platform integration.\nHands-on experience with Azure DevOps, Git-based development, and automated CI/CD pipelines, including environment-based deployment processes across development, test, and production.\nExperience with SQL Server database projects and DACPAC build/deployment automation, including schema comparison, controlled promotion, validation, and CI/CD-based database deployments.\nProperty & Casualty insurance experience and insurance data-modeling knowledge, particularly across policy, premium, claims, exposure, finance, and reinsurance data.\nHands-on experience using Claude/Claude Code or similar AI-assisted development tools for data/software engineering, code review, testing, troubleshooting, and engineering productivity.\nExperience incorporating AI-assisted development into governed engineering workflows with appropriate code review, testing, security, and deployment controls.\nExperience with Microsoft Fabric, Databricks, Azure ML/Azure AI, and modern cloud-native data engineering practices.\nAbout NTT DATA\nNTT 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.\nWhenever 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. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. 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