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LTIMindtree is seeking a seasoned MDM ETL Application Testing professional in the United States to define and lead testing of ETL pipelines for data marts and data warehouses, ensuring data quality and governance.
You will design test data strategies, validate transformation logic, write and review complex SQL, and collaborate with business analysts, QA and development teams to ensure comprehensive coverage and reliable data migration.
Role Description
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US 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.
1 Are you experienced working as a MDM tester do you atleast more than 5to 7 years of handson experience
Ans Yes
2 Are you willing to work in Central time zone
Ans Yes
3 Have you worked in Projects with Transformation initiatives and following Agile methodology
Ans Yes
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.