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Test Engineer Lead at NTT DATA
Chicago, Illinois, United States -
Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Test Strategy, Test Plans, Data Validation, Databricks, Snowflake, ETL, Cloud Data Solutions, Data Migration, Performance Testing, Test Data Management, CI/CD Pipelines, Collaboration, Quality Gates, Test Scenarios, Regression Testing, Business Rules

Industry

IT Services and IT Consulting

Description
Define the test strategy, scope, objectives, entry/exit criteria, and quality gates across all phases (unit, system, SIT, UAT, performance, regression, cutover). Develop and maintain Test Plans and Test Approach documents aligned with program milestones. Standardize test processes, templates, and metrics (defect density, pass rates, coverage). Collaborate with architects, data engineers, and business SMEs to understand systems, data models, and business rules. Design and execute test scenarios, cases, and data requirements for migration and re-platforming. Implement data validation and reconciliation (row counts, aggregates, schema checks, business rules). Lead testing of Databricks pipelines, jobs, notebooks, workflows and dbt models/tests. Validate CDC and incremental load logic to ensure consistency and accuracy. Coordinate performance and load testing for Databricks and Snowflake. Manage test environments (Dev, QA, UAT, Pre-Prod) in Azure and Snowflake. Oversee test data management (anonymization, subsetting, refresh strategies). Align test execution with CI/CD pipelines for automated build and deployment workflows 8+ years of experience in software testing/QA, with strong focus on data warehouse, ETL, and analytics platforms. 3+ years of experience testing cloud data solutions (preferably Azure and Snowflake). Hands-on experience in at least one large-scale data migration or modernization program, ideally involving: Ability to travel 50% when required.
Responsibilities
Define the test strategy and develop test plans aligned with program milestones. Lead testing efforts for Databricks pipelines and coordinate performance testing.