Senior Quality Assurance Specialist
This role focuses on ensuring data quality, automation, and validation across analytical platforms and large datasets.
* Design, implement, and maintain automated test frameworks for data validation using Python and PySpark.
* Validate data integrity, accuracy, and consistency across platforms.
* Collaborate with developers and data engineers to test code and data pipelines.
* Conduct performance testing to ensure scalable and reliable data systems.
* Drive improvements in QA processes, methodologies, and automation practices.
* Mentor junior QA engineers and promote best practices.
Requirements:
* 7+ years' experience in software quality assurance or data testing in financial services or similar industries.
* 4+ years of experience testing data pipelines and large datasets; familiarity with data lakes/fabrics preferred.
* Strong hands-on experience with Python and PySpark; Java and SQL a plus.
* Experience with automation, agile teams, and shift-left testing practices.
* Familiarity with cloud platforms (AWS/Azure) and change management tools (JIRA/ServiceNow).
* Strong analytical, collaboration, and communication skills.
* Experience mentoring or leading small teams is preferred.
* A degree in a relevant field or equivalent experience is required.