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QA Engineer

  • ON
  • Hybrid
  • Posted Oct 16, 2026
  • 1 position

US$120,000–US$130,000 / year

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Employment type
Full-time
Experience level
Senior · 5+ years
Apply by
Apr 14, 2027
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level

Job summary

Analyze and test the migration from DB2 LUW to Amazon Aurora PostgreSQL on AWS, validating schemas, data, database objects, transformation logic, and business rules. Execute migration, reconciliation, parallel-run, SIT, and regression testing; document evidence and quality metrics; and collaborate with project teams while mentoring junior testers.

Job details

Role Description Job Title: QA Engineer Work Location: Toronto, Ontario (Hybrid) Role Summary Seeking an experienced QA Engineer to ensure seamless and accurate database migration from DB2 LUW to Amazon Aurora PostgreSQL on AWS cloud Responsibilities Analyze source to target mappings data models transformation logic and business requirements for DB2 to AWS PostgreSQL migration Analyze and validate stored procedures functions triggers and database objects to ensure accurate business rule implementation during migration Design and execute migration testing including SIT Regression activities Perform schema validation data migration validation and reconciliation testing Validate full load increment alload and deltaload migration processes Execute source to target data validation using record count field level aggregate and business rule checks Develop and execute complex SQL queries for data validation analysis and defect investigation Validate data quality transformation logic referential integrity and data consistency across source and target systems Perform parallel run testing to ensure consistency between legacy and target platforms Validate data completeness and accuracy across migration cycles Prepare test evidence reconciliation reports validation summaries and quality metrics Mentor junior team members and drive testing best practices standards and process improvements Collaborate with business development DBA and migration teams to ensure successful project delivery Mandatory Skills DB2 PostgreSQL Advanced SQL Data Migration Testing ETL Testing Data Reconciliation SourcetoTarget Mapping Validation Stored Procedure Analysis Data Quality Testing Schema Validation SIT Regression Testing JIRA Agile Other Details Vacancy Type: New Vacancy Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”): Benefits And Perks Comprehensive Medical Plan Covering Medical, Dental, Vision Health Care Spending Account Short Term and Long-Term Disability Coverage Life Insurance Annual vacation and other Paid Leaves Maternity Leave Top Up Pay The range displayed on each job posting reflects the total compensation range for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Accessibility and Reasonable Accommodation: LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at applicantaccommodation.canada@ltimindtree.com so that arrangements can be made for the appropriate accommodations to be in place.

What you’ll do

Analyze and test the migration from DB2 LUW to Amazon Aurora PostgreSQL on AWS, validating schemas, data, database objects, transformation logic, and business rules. Execute migration, reconciliation, parallel-run, SIT, and regression testing; document evidence and quality metrics; and collaborate with project teams while mentoring junior testers.

Requirements

The role seeks an experienced QA Engineer with expertise in DB2, PostgreSQL, advanced SQL, data migration and ETL testing, reconciliation, and data quality validation. It also requires the ability to analyze stored procedures and mappings, perform schema and regression testing, and work with Agile practices and JIRA; no education requirement is stated.

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Health Care Spending Account
  • Short-Term Disability Coverage
  • Long-Term Disability Coverage
  • Life Insurance
  • Annual Vacation
  • Paid Leave
  • Maternity Leave Top-Up Pay

Listed skills

  • PostgreSQL · Preferred
  • Amazon Web Services · Preferred
  • Jira · Preferred
  • Agile · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • DB2
  • PostgreSQL
  • Advanced SQL
  • Data Migration Testing
  • ETL Testing
  • Data Reconciliation
  • Source-to-Target Mapping Validation
  • Stored Procedure Analysis
  • Data Quality Testing
  • Schema Validation
  • SIT
  • Regression Testing
  • AWS
  • Amazon Aurora
  • JIRA
  • Agile

Job areas

  • Technology
  • Software
  • Data & Analytics
  • Engineering

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