Description

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.

Excellent SQL skills, including complex data validation queries.

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

Key Skills

Education

Bachelor's degree