[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NTT jobs](https://jobs.opennash.com/companies/ntt/) · [Search jobs](/search/) NTT · Bangalore, KA, IN, India # Sr Tech Data Validation & DBT Engineer Bangalore, KA, IN, India Full-time Senior individual contributor Data & Analytics Listed on NTT’s official careers site. Posted October 10, 2026. Check that it is still open and apply there. [Apply on NTT’s careers site →](https://careers.nttdata.com/global/en/job/NTT1GLOBAL392777EXTERNALENGLOBAL/Sr-Tech-Data-Validation-DBT-Engineer) [OpenNash Jobs](https://jobs.opennash.com/) / [NTT](https://jobs.opennash.com/companies/ntt/) / Sr Tech Data Validation & DBT Engineer ## Job description Senior Technical Data Validation & DBT Engineer (ETL Modernization) The Senior Technical Data Validation Engineer will play a critical role during System Integration Testing (SIT) for the Data Warehouse Modernization Program. The role is responsible for validating migrated data pipelines, performing source-to-target reconciliation, identifying root causes of data discrepancies, and partnering with development teams to accelerate defect resolution. The ideal candidate should possess strong expertise in DBT, Snowflake, ETL/Data Warehouse concepts, SQL-based reconciliation, and legacy Informatica workflows, with the ability to independently analyze complex data issues and provide actionable defect diagnostics. ### Roles & Responsibilities Data Validation & SIT Support - Perform end-to-end source-to-target data validation across Informatica and DBT-based implementations. - Validate data completeness, accuracy, transformations, aggregations, and business rules across staging, core, and mart layers. - Execute record count, aggregate, reconciliation, SCD, and incremental-load validation. - Analyze data discrepancies and identify root causes before routing defects to development teams. - Prepare SQL evidence, impacted records, and detailed defect diagnostics to improve defect quality and reduce turnaround time. - Participate in SIT defect triage sessions and collaborate with development teams to accelerate issue resolution. - Validate data lineage and trace data flow across source systems, DBT models, and Snowflake objects. ### DBT & Data Engineering Support - Translate Informatica mappings, transformations, and business rules into DBT models where required. - Develop and maintain DBT tests (schema tests, custom tests, data-quality validations). - Design and implement staging, core, and mart layers using DBT best practices. - Participate in performance analysis and optimization of DBT models and Snowflake queries. - Support deployment validation and migration activities across environments. ### Quality & Governance - Contribute to SIT strategy, test case reviews, and validation frameworks. - Ensure defects are documented with clear root-cause analysis, business impact, and remediation recommendations. - Support regression testing and release validation activities. - Maintain validation documentation, reconciliation reports, and testing evidence. ### Experience & Skills - 7+ years of experience in Data Warehouse, ETL, Data Engineering, or Data Validation. - 2+ years of hands-on experience with DBT (Core or Cloud). - Strong experience in Data Warehouse Migration / Modernization programs. - Experience supporting SIT or large-scale data validation initiatives. - Developer-level understanding of Informatica mappings, workflows, and transformations. - Experience working with Snowflake and modern cloud data platforms. - Good communication skills and ability to read/understand existing ETL logic and requirements documentation. ### Must Have 1) Strong Knowledge of - Advanced SQL - ETL/Data Warehouse testing - Source-to-target data validation - dbt knowledge - Snowflake - Data Mapping - Source-to-Target-Validation - Complex joins and transformation validation - Count/Aggregate/SCD/incremental-load validation - Incremental Load Validation - Defect analysis and root-cause analysis - Financial reconciliation 2) SIT & Defect Analysis - Root Cause Analysis - Defect Triage & Debugging - SIT Execution Support - Test Data Analysis - Reconciliation Reporting - Business Rule Validation Strongly Preferred - Databricks - Azure DevOps or similar CI/CD tools - dbt test automation - Python for Data Validation - Data-validation automation frameworks/tools - Experience with large-scale ETL modernization ## At a glance - Posted by the employer: Oct 10, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 9 days - Location: Bangalore, KA, IN, India - Employment type: Full-time[Apply on NTT’s careers site →](https://careers.nttdata.com/global/en/job/NTT1GLOBAL392777EXTERNALENGLOBAL/Sr-Tech-Data-Validation-DBT-Engineer) ## More jobs at NTT ### [Data & AI Consulting Manager](https://jobs.opennash.com/companies/ntt/jobs/96ed3fdbbcfac7e03929/) Bangalore, KA, IN, India ### [Data Architect Lead Advisor](https://jobs.opennash.com/companies/ntt/jobs/4c9e34210947a9b77fdf/) Bangalore, KA, IN, India ### [Data Architect Sr Advisor](https://jobs.opennash.com/companies/ntt/jobs/9e85a9b467e509ef05df/) Bangalore, KA, IN, India ## Similar jobs at other companies ### [Senior Data Engineer – Snowflake + Data Build Tool (DBT)](https://jobs.opennash.com/companies/gallagher/jobs/cea03861a77f37665d93/) Gallagher · Colombo, Sri Lanka ### [Data Engineer I - Cloud Data Modernization - AWS, Databricks, DBT, SQL, AI](https://jobs.opennash.com/companies/travelers/jobs/3bc3a8dc89ce90334873/) Travelers ### [Snowflake & dbt Data Engineer](https://jobs.opennash.com/companies/tata-consultancy-services/jobs/fb845ff8bcc4f74742f0/) Tata Consultancy Services · Chennai ### [Engineer Lead, Software (Snowflate, Python, DBT)](https://jobs.opennash.com/companies/fidelity-national-information-fis/jobs/3ab460a27cbeb5d69b91/) Fidelity National Information (FIS) · AMBIT IT PARK, Block B & C, Chennai-, Tamil Nādu, India ### [Data Engineer - AWS, Snowflake, DBT](https://jobs.opennash.com/companies/aviva/jobs/d0bca1dfdbc4a9c8161b/) Aviva · Markham OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)