ETL Test Engineer

Req ID: 392734

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 ETL Test Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Role Overview
We are seeking an experienced ETL Tester / Data Quality Engineer with 7+ years of hands-on experience testing data transformation and data integration solutions. The ideal candidate will have strong expertise in validating end-to-end data pipelines, transformation logic, data quality, and reconciliation across modern cloud data platforms, particularly Snowflake, dbt, and Fivetran or comparable tools.

Technical Skills

• 6+ years of experience in ETL/ELT testing, data warehouse testing, or data quality testing.
• Strong hands-on experience writing complex SQL queries for data validation and reconciliation
• Experience working with Snowflake as a cloud data warehouse.
• Experience testing dbt data models, transformations, schema tests, and data quality checks
• Experience with Fivetran or similar data ingestion/integration tools such as Airbyte, Matillion, Informatica Cloud, Stitch, Talend, or AWS Glue.
• Strong understanding of data warehousing concepts, dimensional modeling, star/snowflake schemas, facts, and dimensions.
• Experience validating batch and incremental data loads.
• Knowledge of ETL/ELT concepts, source-to-target mapping, CDC, SCD types, and data lineage
• Experience with defect tracking and test management tools such as Jira, Azure DevOps, TestRail, or similar
• Familiarity with Agile/Scrum delivery methodologies
• Strong analytical, troubleshooting, and communication skills

Key Responsibilities

• Design, develop, and execute test plans, test cases, and test scripts for ETL/ELT and data transformation pipelines.
• Validate source-to-target data mappings, transformation rules, business logic, and data lineage. perform data reconciliation, completeness, accuracy, consistency, duplication, and referential-integrity checks. Test data ingestion pipelines built using Fivetran or similar integration tools.
• Validate data transformations and models developed in dbt, including incremental models, snapshots, macros, tests, and dependencies.
• Perform SQL-based validation of data stored in Snowflake, including large-volume datasets and complex transformations.
• Identify, log, track, and retest data defects in collaboration with data engineers, analytics engineers, developers, and business stakeholders.
• Develop and maintain automated data validation and regression test frameworks where applicable.
• Validate error handling, exception processing, rerun/recovery mechanisms, and audit/control tables.
• Support integration, system, regression, user acceptance, and production validation testing.
• Review requirements, source-to-target mapping documents, data models, and technical design documents to identify test scenarios.
• Monitor data quality issues and provide root-cause analysis support.
• Ensure test evidence, execution reports, and defect documentation are complete and maintained.

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. If you are requested to provide payment or disclose banking information, please submit a contact us form, 

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