Develop and maintain automated test scripts for validating the functionality, performance, and accuracy of data processing pipelines. Ensure the entire data pipeline, from ingestion to analysis to visualisation, is thoroughly tested for reliability and integrity.
Automation of Data Processing & Visualisation Testing
Data Pipeline & Engine Testing
Performance Testing
End-to-End Testing
Collaboration with Development Teams
Innovation in Testing Tools
Continuous Improvement
You will focus on building test frameworks that ensure performance|Work on cutting-edge technologies that shape the future of data analytics
8+ years of experience in software testing, with significant experience automating testing for data-intensive applications.
Proficiency in programming languages like Python, Java, or JavaScript for writing test scripts and automating test cases.
Hands-on experience with test automation frameworks such as Selenium, Cypress, or similar tools for UI and data-driven testing.
In-depth understanding of data processing, ETL pipelines, and analytics engines.
Experience with SQL and NoSQL databases for validating data integrity.
Strong knowledge of data visualization tools such as Power BI, Tableau, or D3.js
Experience with performance testing tools (e.g., JMeter, LoadRunner) for data processing and analytics engines.
Familiarity with Agile development and continuous integration/continuous delivery (CI/CD) processes
A global player specialising in intelligence and security solutions, focusing on data analysis, surveillance, and cybersecurity.
Competitive package with excellent benefits
The opportunity to work on cutting-edge technologies that shape the future of telecommunications and data analytics