Senior QA Automation Engineer – Treasury / Balance Sheet Management

Are you a skilled QA Automation Engineer ready to elevate data quality? Apply Now!

Working with one of our top financial clients, this role calls for a Senior QA Automation Engineer – Treasury / Balance Sheet Management. In this position, you will be responsible for designing, developing, and maintaining automation frameworks for complex data pipelines, large-volume data validation, and cloud-based analytics platforms. Your expertise will help improve data accuracy, validation processes, and automation coverage, ensuring high-quality results across enterprise systems.

Responsibilities

Develop and maintain automated testing frameworks for data pipelines, APIs, and cloud data platforms using tools such as Selenium, PyTest, and Python.
Create automated controls for data reconciliation, completeness checks, schema validation, and anomaly detection across multiple systems.
Design and implement test strategies for Azure data solutions, including Azure Databricks, Spark SQL, Delta Lake, and PySpark.
Build automated validation for REST APIs, data ingestion processes, and downstream outputs.
Collaborate with testing leads, business users, developers, and platform teams to understand requirements and define test coverage.
Utilize AI tools such as Microsoft Copilot, GitHub Copilot, and agent-based workflows to accelerate testing and automation tasks responsibly.
Desired Skill-Set

6+ years of experience in QA automation and testing complex data or application platforms.
Proficiency in Python, Perl, or similar scripting languages for automation utility development.
Hands-on experience with Selenium, PyTest, API testing, regression, and functional automation.
Strong SQL skills with experience testing large data volumes, reconciliation, and data quality.
Practical knowledge of cloud data platforms, including Azure Databricks, Spark SQL, Delta Lake, and Azure Data Factory.
Experience using AI-enabled tools to enhance testing processes.
Excellent communication skills to effectively coordinate with technical and business teams.
Nice to Have

Experience with Databricks notebooks, PySpark validation, Delta Lake testing, and lakehouse architecture.
Knowledge of observability and orchestration tools such as Great Expectations, Deequ, DBT, Airflow, Azure DevOps, and Jenkins.
Background in financial services, treasury, capital markets, regulatory reporting, or balance sheet management.
Experience creating detailed test documentation, defect reports, and audit-compliant validation artifacts.