Quality Engineer

Role Overview

The role will be integral to realizing the customer’s vision and strategy in transforming some of their critical application and data engineering components. As a global financial markets infrastructure and data provider, the customer keeps abreast of the latest cutting technologies enabling their core services and business requirements. The role is critical in this endeavour by the means of enabling the technical and quality assurance thought leadership and excellence required for the purpose.

• Design and execute manual and automated test cases ensuring coverage across functional, regression, and integration scenarios. Coverage to include financial risk exposure, transaction volume, and business criticality.
• Get reviewed the designed test cases with BA/DEV timely and start execution.
• Validate financial calculations, transaction flows, compliance logic, and reporting across various platforms. This includes end-to-end data validation across ETL pipelines, databases, and reporting layers.
• Validate performance of system via performance and load testing leveraging tools for the purpose.
• Develop and maintain test automation scripts using approved tools for the purpose.
• Ensure that systems and data meet appropriate regulatory requirements enforced by GDPR, SOX and others (as applicable) through targeted test scenarios and documentation.
• Log, track, triage, and report defects using agreed tools.
• Work collaboratively with product owners and business stakeholders to translate requirements into test cases and scenarios.
• Create, maintain, and update documentation and internal knowledge repository.

• Proficient in designing and executing test cases across various test phases.
• Strong understanding of transaction flows, compliance logic and reporting standards.
• Experience with test automation tools and automation frameworks, performance and load testing tools, defect reporting and management tools.
• Skilled in writing SQL queries to validate data across databases, ETL pipelines, and reporting layers.
• Experience working with Microsoft Fabric workspace and notebooks.
• Experience validating data in relational and non-relational databases including CosmosDB.
• Experience validating data in data lakes and lake houses. I.e., Azure Fabric.
• Experience working in Agile/ Scrum environments with CI/CD pipelines and sprint-based delivery cycles.
• Strong written and verbal communication skills and collaborative mindset to work with internal and external stakeholders.

• 2. Pytest
• 4. Python
• 5. Microsoft Fabric
• 6. Testrails
• 7. Gitlab/ Git Hub

• Experience integrating QA workflows with Git, ADO and other tools when needed.
• Experience working with data quality tools such as QC/TE.
• Understanding of QA practices in cloud environments.
• Understanding of financial regulations such as GDPR, SOX etc.
• Formal QA certification.

Competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.

We celebrate inclusion without exception. We are open to all and treat applications equally, regardless of ethnicity, disability, gender, age, sexual orientation or beliefs.
For applicants who need an accommodation due to a disability to complete an employment application, or during any phase of the hiring process, please contact with the subject line: “Disability Accommodation Request”.