MDM Lead Tester

External job listingat Zodiachrc

Define test data strategies, lead ETL pipeline testing, validate data quality and governance, and automate test data generation and provisioning.

External source - not verified6 weeks agoOpen until: Nov 5, 2026

Salary

Not provided

Location

Bloomington, United States

Employment type

Full time

Workplace

Not provided

MDM Lead Tester

Bloomington, United States

Job description

About the role

Zodiachrc is seeking an MDM Lead Tester to define and implement test data strategies for MDM ETL applications and lead testing of ETL pipelines for data marts and data warehouses.

Responsibilities

  • Identify data validation scenarios and ensure coverage for migration, transformation, and integration workloads.
  • Design, develop, and optimize tests that validate entire ETL workflows.
  • Validate data governance rules, data quality standards, and golden record creation.
  • Write and review complex SQL queries to enforce business rule compliance and transformation logic.
  • Collaborate with business analysts, QA, and development teams to understand data requirements and ensure comprehensive coverage.
  • Automate test data generation and provisioning processes.

Key facts

  • The role involves testing ETL pipelines for data marts and data warehouses.
  • Responsibilities include validating data governance rules and data quality standards.
  • The role includes automating test data generation and provisioning processes.

Frequently asked questions

  • What does the MDM Lead Tester do?

    The role defines test data strategies for MDM ETL applications and leads testing of ETL pipelines for data marts and data warehouses.

  • What testing responsibilities are included?

    The role includes validating migration, transformation, and integration workloads, as well as data governance rules, data quality standards, and golden record creation.

  • Does the role involve working with other teams?

    Yes. The role collaborates with business analysts, QA, and development teams to understand data requirements and ensure comprehensive coverage.

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