Data QA Analyst: Snowflake/Databricks | SQL & dbt Testing

Acumenz Consulting Inc; Okemos (MI); On-site; USD 55,000 - 83,000; Part time

Job summary

Acumenz Consulting Inc is seeking a Data QA Analyst to ensure data quality across Snowflake or Databricks environments. The role emphasizes strong SQL, data validation, and dbt testing within cloud analytics platforms.

You'll perform source-to-target reconciliation, develop dbt tests, and collaborate with data engineering and analytics teams to maintain QA artifacts and resolve data defects. Contract position located in Michigan; prior experience with data warehouses and ETL/ELT processes is

Qualifications

• Strong SQL skills, including complex queries and data validation.
• Hands-on experience with Snowflake or Databricks.
• Experience with dbt testing, including schema tests and data tests.
• Data warehouse and ETL/ELT testing experience.
• Source-to-target data validation and reconciliation.
• Experience identifying and troubleshooting data discrepancies.
• Knowledge of data models and transformation logic.
• Experience with Jira or similar defect management tools.

Responsibilities

• Perform data quality testing within Snowflake or Databricks.
• Write SQL queries to validate data accuracy and consistency.
• Develop and execute dbt tests for data integrity.
• Perform source-to-target reconciliation.
• Identify, document, and track data defects.
• Collaborate with data engineering and analytics teams.
• Maintain test cases, scripts, and QA documentation

Skills

SQL skills

Snowflake

Databricks

dbt testing

Data modeling

Data validation

Data troubleshooting

ETL/ELT testing

Jira

Tools

Jira

Job description

Acumenz Consulting Inc is seeking a Data QA Analyst to ensure data quality across Snowflake or Databricks environments. The role emphasizes strong SQL, data validation, and dbt testing within cloud analytics platforms.

You'll perform source-to-target reconciliation, develop dbt tests, and collaborate with data engineering and analytics teams to maintain QA artifacts and resolve data defects. Contract position located in Michigan; prior experience with data warehouses and ETL/ELT processes is