We are looking for a QA Data Automation Engineer to join our Data Team in a dynamic and challenging role, providing critical test coverage for Orca’s data pipelines, reporting layers, and analytics solutions.

In this role, you will be responsible for validating data integrity end-to-end — from raw ingestion and transformation layers to dashboards and downstream consumers. You will design and maintain automated tests to ensure accurate, reliable, and scalable data systems.

Key Responsibilities

• Develop and maintain automated QA tests for data pipelines, transformations, and data products.
• Perform and execute manual QA testing such as functional, regression, and sanity testing of applications, dashboards, and backend systems.
• Validate data flow across the system, including: ingestion, transformations, reports/dashboards.
• Perform data quality testing (completeness, consistency, accuracy, timeliness, schema validation).
• Write and execute SQL-based tests to validate logic, joins, aggregations, metrics, and anomalies.
• Build automation frameworks and validation scripts using Python.
• Work closely with Data Engineers and Analytics/BI stakeholders to define test coverage and acceptance criteria.
• Investigate failures and data issues, providing clear RCA and actionable bug reports.
• Document test plans, test scenarios, expected results, and automation coverage.
• Track issues in Jira, including reproducible steps and supporting evidence.
• Continuously improve QA processes for better monitoring, reliability, and faster releases.