🛠 Tech Stack

💼 About This Role

You'll lead data quality testing for a modern data platform, collaborating with engineers and stakeholders. Your impact includes building automated validation frameworks for dbt pipelines. This role offers exposure to end-to-end data transformation testing.

🎯 What You'll Do

• Design and maintain dbt testing strategies for data transformations.
• Collaborate with stakeholders to define testing scope and quality standards.
• Build and optimize dbt models, unit tests, and integration tests.
• Investigate test failures, review PRs, and improve technical processes.

📋 Requirements

• 7+ years experience in Quality Engineering with data focus.
• Advanced proficiency in SQL and Python for automation.
• Hands-on experience with data validation and data quality frameworks.
• Experience with dbt, Databricks, Docker, and pytest.

✨ Nice to Have

• Knowledge of Power BI or Tableau.
• Experience with cloud environments and automation testing frameworks.
• Familiarity with data governance and compliance standards.

🎁 Benefits & Perks

• 🏖️ Flexible Time Off
• 📈 Career Growth Opportunities
• 🌍 Global Team Collaboration
• 💻 Remote Work Options
• 🏥 Health Insurance

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1HR Screening· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min