QA Analyst

Valiant Technologies LLC; Okemos (MI); On-site; USD 58,000 - 86,000; Full time

Job summary

Valiant Technologies LLC in Michigan seeks a detail-oriented QA Analyst to validate data across Snowflake or Databricks environments with dbt testing. You will write SQL queries to confirm data accuracy and completeness, develop schema and data tests, and perform source-to-target validation.

Collaborating with data engineers and analysts, you will document test cases, keep validation records, and track defects in Jira to ensure data integrity across pipelines and analytics platforms.

Qualifications

• Hands-on SQL expertise for validating data quality.
• Experience in data quality assurance across analytics environments.
• dbt schema tests and data tests experience required.
• Ability to perform source-to-target data validation and reconciliation.
• Strong analytical and problem-solving skills; attention to detail.

Responsibilities

• Perform data quality assurance within Snowflake or Databricks environments.
• Write complex SQL queries to validate data accuracy, completeness, and consistency.
• Develop, execute, and maintain dbt schema tests and data tests.
• Perform source-to-target data validation and reconciliation.
• Validate data transformation logic and ensure data integrity across pipelines.
• Identify, document, and help resolve data discrepancies and quality issues.
• Collaborate with data engineering and analytics teams to understand data models and expected outcomes.
• Create and maintain test cases, test scripts, and validation documentation.
• Track, manage, and report defects using QA tools such as Jira.

Skills

SQL

Data quality assurance

dbt testing

Data reconciliation

Analytical thinking

Tools

Snowflake

Databricks

Jira

Job description

We are seeking a detail-oriented QA Analyst with hands-on experience in cloud analytics platforms such as Snowflake or Databricks. The ideal candidate should have strong SQL skills, experience with dbt testing, and expertise in validating data accuracy, completeness, and consistency across data pipelines and analytics environments.

Key Responsibilities:

Perform data quality assurance within Snowflake or Databricks environments.

Write complex SQL queries to validate data accuracy, completeness, and consistency.

Develop, execute, and maintain dbt schema tests and data tests.

Perform source-to-target data validation and reconciliation.

Validate data transformation logic and ensure data integrity across pipelines.

Identify, document, and help resolve data discrepancies and quality issues.

Collaborate with data engineering and analytics teams to understand data models and expected outcomes.

Create and maintain test cases, test scripts, and validation documentation.

Track, manage, and report defects using QA tools such as Jira.

Mandatory Skills:

Strong hands-on experience with Snowflake or Databricks.

Hands-on experience with dbt testing (Schema Tests and Data Tests).

Experience in data quality assurance and analytics platform testing.

Strong knowledge of source-to-target validation and data reconciliation.

Experience validating data transformation logic and data pipelines.

Ability to identify and troubleshoot data discrepancies.

Experience with QA documentation, test cases, and defect management.

Familiarity with Jira or similar defect-tracking tools.

Strong analytical and problem-solving skills with attention to detail.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.