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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads scalable UI and API test automation using Python, PyTest, Playwright, Robot Framework, and Selenium. Develops comprehensive test suites, validates APIs and databases, tests microservices and healthcare applications, and integrates quality checks into CI/CD pipelines. Oversees defect triage, risk-based testing, quality metrics, release readiness, and Agile collaboration. Applies AI tools, LLMs, machine-learning-based test optimization, prompt engineering, and intelligent failure analysis. Supports cloud, containerization, infrastructure-as-code, and healthcare interoperability testing.
Top Skills:
AlmAWSAzureAzure AiAzure BoardsAzure PipelinesClaudeCloudFormationDicomDockerDynamoDBEmbeddingsFhirGCPGitGithub ActionsGithub CopilotGitlab CiHipaaHl7Hugging FaceInsomniaJenkinsJIRAKafkaM365 CopilotMongoDBOpenaiPlaywrightPostmanPytestPythonRagRallyRequestsRest AssuredRobot FrameworkSauce LabsSeleniumSQLTerraformVector Databases
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develops and maintains ETL/ELT pipelines, legacy SSIS and SSAS solutions, reporting platforms, and relational and dimensional data models. Tunes SQL, data pipelines, semantic layers, and reporting workloads for performance and reliability. Supports Snowflake and cloud-native data platforms, documents data lineage and procedures, responds to ServiceNow incidents, and follows HIPAA, ITIL, governance, and change-control standards. Collaborates across technical and analytics teams while supporting healthcare data systems and modernization initiatives.
Top Skills:
Apache AirflowAzure Data FactoryAzure Machine LearningAzure SynapseCozyroc Ssis+DbtKronosPower BIPythonServicenowSnowflakeSQL ServerSsasSsisSsrsT-SqlTableauUkg
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The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
