Senior MDM ETL Testing Engineer | Data Quality & Automation

LTM; Bloomington (IL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering

Short/Long Term Disability

401(k) Plan with Company match

Life Insurance

Vacation Time & Paid Holidays

Paid Paternity and Maternity Leave

Job summary

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.

Qualifications

• 5+ years of experience in MDM/ETL testing.
• Strong SQL skills including complex queries and stored procedures.
• Experience with data governance, data quality rules and data migration.

Responsibilities

• Define and implement test data strategies for MDM ETL applications.
• Lead testing of ETL pipelines for data marts and data warehouses.
• Identify data validation scenarios and ensure coverage for transformation and integration.
• Design, develop and optimize tests to validate ETL workflows.
• Validate data governance rules and golden record creation.
• Write and review complex SQL queries for data validation against business rules.
• Collaborate with business analysts, QA and development teams to ensure coverage.
• Automate test data generation and provisioning processes.

Skills

MDM Testing

ETL Testing

Advanced SQL

Data Modelling

Data Quality Checks

Python for Automation

Tools

Azure Data Factory

Job description

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.