Sr. DevOps automation tester

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

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.