ETL Testet

NTT DATA, Inc.; Bengaluru; Sur place; INR 1 400 000 - 2 100 000; Plein temps

Résumé du poste

NTT DATA, Inc. in Bengaluru seeks an experienced ETL Tester / Data Quality Engineer to validate end-to-end data pipelines. Strong SQL skills, Snowflake, dbt, and Fivetran experience are required to ensure data quality and accurate reconciliation across cloud data platforms.

The role emphasizes testing complex data transformations, implementing automated validation, and collaborating with data engineers and stakeholders to deliver reliable data solutions for modern analytics.

Qualifications

• 5+ 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.

Responsabilités

• 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.

Connaissances

ETL Testing

SQL validation

Snowflake

dbt

Fivetran

Agile/Scrum

Data quality

Data warehousing

Outils

Snowflake

dbt

Fivetran

Airbyte

Matillion

Informatica Cloud

Stitch

Talend

AWS Glue

Jira

Azure DevOps

TestRail

Description du poste

Select how often (in days) to receive an alert: Create Alert

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,

We are currently seeking a ETL Testet to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Role Overview

We are seeking an experienced ETL Tester / Data Quality Engineer with 5+ years of hands-on experience in ETL Testing, Snowflake and DBT. 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

• 5+ 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.

NTT 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 . For Pay Transparency information, please click here .

Job Segment: Data Warehouse, Database, SQL, Consulting, Technology