QA Analyst

Machine Learning Technologies, LLC; Okemos (MI); On-site; USD 65,000 - 90,000; Full time

Job summary

Machine Learning Technologies, LLC in Okemos, MI is seeking a detail-oriented QA Analyst with hands-on experience in Snowflake or Databricks. The role focuses on validating data quality across data pipelines and analytics environments, using SQL and dbt testing to ensure data accuracy, completeness, and consistency.

You will develop and execute dbt schema and data tests, perform source-to-target validation, and work closely with data engineering and analytics teams to ensure data integrity.

Qualifications

• 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.

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

Snowflake/Databricks

SQL

dbt testing

Data quality

Data pipelines

Jira

Tools

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.