QA Analyst

Valiant Technologies LLC

Jersey City (NJ)

Sur place

USD 90 000 - 120 000

Plein temps

Il y a 26 heures
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Résumé du poste

Valiant Technologies LLC is seeking a detail-oriented QA Analyst to validate data quality within a cloud analytics environment using Snowflake or Databricks. The role emphasizes writing SQL queries to validate data, running DBT tests, and performing QA within modern analytics platforms.

The ideal candidate will ensure data accuracy, completeness, and reliability as data flows through pipelines. You will collaborate with data engineering and analytics teams, author test cases, and maintain

Qualifications

  • Hands-on SQL for data validation.
  • Strong analytical mindset with attention to detail.

Responsabilités

  • Validate data quality across source-to-target in Snowflake or Databricks.
  • Develop, run, and maintain DBT tests (schema and data tests).
  • Write complex SQL to verify data accuracy and completeness.
  • Document test cases and validation results.
  • Track defects using Jira and collaborate with data teams.

Connaissances

SQL
Data quality
Analytical mindset
QA validation

Outils

Snowflake
Databricks
DBT
Jira

Description du poste

  • We are looking for a detail-oriented QA Analyst to validate data quality within our cloud analytics environment (Snowflake or Databricks).
  • The ideal candidate has hands-on experience writing SQL queries to validate data, running DBT tests, and performing QA within modern analytics platforms.
  • This role ensures the accuracy, completeness, and reliability of data as it flows through our pipelines and analytics layer.
  • Work hands-on within a Snowflake or Databricks environment to support data quality assurance efforts
  • Write SQL queries to validate data accuracy, completeness, and consistency across source and target systems
  • Develop, run, and maintain DBT tests (schema and data tests) to validate transformation logic and enforce data integrity
  • Perform QA validation within analytics platforms such as Snowflake or Databricks, including source-to-target reconciliation
  • Identify, document, and help resolve data discrepancies found during testing and validation
  • Collaborate with data engineering and analytics teams to understand data models and validate expected outcomes
  • Author and maintain test cases, test scripts, and validation documentation
  • Track and manage defects using standard QA tools (e.g., Jira)
  • Strong SQL skills with proven ability to write complex validation queries
  • Strong analytical mindset with high attention to detail in data quality work
Job Description:
  • We are looking for a detail-oriented QA Analyst to validate data quality within our cloud analytics environment (Snowflake or Databricks).
  • The ideal candidate has hands-on experience writing SQL queries to validate data, running DBT tests, and performing QA within modern analytics platforms.
  • This role ensures the accuracy, completeness, and reliability of data as it flows through our pipelines and analytics layer.
  • Work hands-on within a Snowflake or Databricks environment to support data quality assurance efforts
  • Write SQL queries to validate data accuracy, completeness, and consistency across source and target systems
  • Develop, run, and maintain DBT tests (schema and data tests) to validate transformation logic and enforce data integrity
  • Perform QA validation within analytics platforms such as Snowflake or Databricks, including source-to-target reconciliation
  • Identify, document, and help resolve data discrepancies found during testing and validation
  • Collaborate with data engineering and analytics teams to understand data models and validate expected outcomes
  • Author and maintain test cases, test scripts, and validation documentation
  • Track and manage defects using standard QA tools (e.g., Jira)
  • Strong SQL skills with proven ability to write complex validation queries
  • Strong analytical mindset with high attention to detail in data quality work

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.

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