QA Analyst: Data Quality for Snowflake/Databricks Pipelines

Valiant Technologies LLC; Okemos (MI); Vor Ort; USD 58.000 - 86.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Data quality assurance

dbt testing

Data reconciliation

Analytical thinking

Tools

Snowflake

Databricks

Jira

Jobbeschreibung

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.