Automation Testing with ETL Testing - Trade Surveillance Domain

Key Requirements

• Bachelors degree in computer science, Information Technology, Engineering, or a related discipline.
• Strong hands-on experience in PySpark, Python, and SQL, along with expertise in Automation Testing tools and frameworks.
• Proven experience in data migration validation projects.
• Strong understanding of Trade Data, Surveillance Alert Validation, Data Reconciliation, and ETL processes.
• Extensive Automation Testing experience using Java, Cucumber, and API Automation Frameworks.
• Good knowledge of QA methodologies, testing life cycles, and Agile delivery practices.
• Hands-on experience in test planning, validation, regression testing, and business sign-off activities throughout the migration lifecycle.
• Strong technical expertise in data profiling, gap analysis, source-to-target mapping, and data issue resolution.
• Proficient in writing complex SQL queries and developing automation/testing scripts.
• Banking domain experience is mandatory, preferably with exposure to Trade Surveillance and Regulatory Compliance programs.

Preferred Skills

• Trade Surveillance domain expertise.
• Experience with large-scale data migration and reconciliation programs.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with business, data, and technology teams.