Job Openings
Senior QA engineer
About the job Senior QA engineer
Job Title: Senior QA engineer
Job Location: Kochi, Kerala, India
Job Location Type: On-site
Job Contract Type: Full-time
Job Seniority Level: Mid-Senior level
The Role
We are seeking an experienced Senior QA Engineer to design, develop, and maintain automated test suites for ETL pipelines and complex data processing workflows in the healthcare domain (PySpark, Databricks, Camunda, Oracle). You will be responsible for ensuring the quality of platforms processing millions of medical records, with a strong focus on business rule validation and data integrity.
The Team
The Systems Engineering team is part of the Global Technology Organisation (GTO) and remains one of the most dynamic and fast-growing groups in the organisation. We are passionate about Agile software development and are among the strongest advocates for DevOps and Test-Driven Development (TDD). Our culture promotes autonomy and collaboration, empowering individuals to thrive within self-organising teams. Our work involves processing and analysing a wide range of patient-level healthcare data, which supports solving complex healthcare challenges — from retrospective clinical studies to disease progression modelling.
In your daily activities, you will collaborate with a team of Architects who design effective solutions, and with the Development team, which ensures the highest standards of software.
The Data
We process over a billion records at a time, our engineers are responsible for the data analysis and construction and optimization of data flow processes. You will build data pipeline using ETL solutions for acquiring, processing and loading medical data into the Databricks using pyspark technologies.
Core Responsibilities
Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or another related field
Essential
Technical skills and knowledge
We are seeking an experienced Senior QA Engineer to design, develop, and maintain automated test suites for ETL pipelines and complex data processing workflows in the healthcare domain (PySpark, Databricks, Camunda, Oracle). You will be responsible for ensuring the quality of platforms processing millions of medical records, with a strong focus on business rule validation and data integrity.
The Team
The Systems Engineering team is part of the Global Technology Organisation (GTO) and remains one of the most dynamic and fast-growing groups in the organisation. We are passionate about Agile software development and are among the strongest advocates for DevOps and Test-Driven Development (TDD). Our culture promotes autonomy and collaboration, empowering individuals to thrive within self-organising teams. Our work involves processing and analysing a wide range of patient-level healthcare data, which supports solving complex healthcare challenges — from retrospective clinical studies to disease progression modelling.
In your daily activities, you will collaborate with a team of Architects who design effective solutions, and with the Development team, which ensures the highest standards of software.
The Data
We process over a billion records at a time, our engineers are responsible for the data analysis and construction and optimization of data flow processes. You will build data pipeline using ETL solutions for acquiring, processing and loading medical data into the Databricks using pyspark technologies.
Core Responsibilities
- Ability to oversee and guide junior and mid-level engineers, providing technical direction and mentoring to support their growth.
- Delegating tasks effectively, ensuring clarity of expectations and alignment with delivery goals.
- Design, develop, and maintain automated tests (Robot Framework) for ETL pipelines and data processing workflows.
- Extend Robot Framework libraries and keywords; create custom test utilities for healthcare-specific data validation.
- Integrate tests with CI/CD pipelines (e.g., Jenkins/GitLab CI), including pipeline testing and data quality validation in the deployment cycle.
- Conduct integration testing for complex data workflows involving Spark, BPMN orchestration (Camunda), and JDBC imports; validate complex business rules.
- Collaborate with architects and systems engineers; contribute to technical standards.
Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or another related field
Essential
Technical skills and knowledge
- 8+ years of experience in software testing
- Test Automation: experience with Robot Framework or similar test automation tools
- Programming Languages: Python (intermediate), SQL (advanced), familiarity with Java/Scala beneficial
- Database Technologies: Experience with Oracle, Databricks, Hive, Impala, or similar big data platforms
- Version Control: Git, GitHub/GitLab workflows, branch management
- CI/CD Tools: Jenkins, GitLab CI, or similar pipeline tools
- Big Data: Experience with distributed data processing (Spark, Databricks ecosystem)
- Data Modeling: Knowledge of dimensional modeling, slowly changing dimensions (SCD), star schemas
- Test planning and strategy development
- Test case design for complex data workflows
- Defect tracking and management (JIRA, similar tools)
- Container Technologies: Docker, container orchestration basics
- Ability to present complex results in a clear language for both technical and non-
- technical audience
- Experience collaborating with teams from Europe, with an understanding of cross-cultural communication and remote delivery dynamics.
- A great team player mindset.
- Excellent analytical & troubleshooting skills.
- Strong collaboration, written and verbal skills.
- Familiarity with project management concepts, specifically Agile/Scrum
- Ability to present complex results in a clear language for both technical and non-technical audience
- Work in a company with offices in over 100 countries around the world, listed on the American stock exchange (NYSE)
- Multi-terabyte databases
- Quarterly work planning - goals and progress review every 90 days
- Technical training
- Possibility to participate in technical conferences within the country
- Favorable employment conditions, benefits
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