**What You’ll Be Doing** - You will be a leader the engineering and operations of design, build, and maintain scalable HPC platforms. - You will play a crucial role in enabling HPC infrastructure and experiences. - Collaborate with researchers and scientists to optimize performance and streamline workflows. - Leverage tooling and automation for orchestration, resource scheduling, data access, and reproducibility. - Evolve and operate public cloud and on-premises environments with a focus on availability and performance for HPC workloads. - Define and monitor infrastructure metrics, resource utilization, among others.

• You will be a leader the engineering and operations of design, build, and maintain scalable HPC platforms. • You will play a crucial role in enabling HPC infrastructure and experiences. • Collaborate with researchers and scientists to optimize performance and streamline workflows. • Leverage tooling and automation for orchestration, resource scheduling, data access, and reproducibility. • Evolve and operate public cloud and on-premises environments with a focus on availability and performance for HPC workloads. • Define and monitor infrastructure metrics, resource utilization, among others.

• Collaborate with multiple teams to ensure data integrity and validation using the right tools and automation. • Be proficient in pre-screening raw data, vital checks on completeness and integrity of data, field tests on Aggregation, Reconciliation tests and Report testing. • Evaluate the quality of data received from data sources to ensure that it meets company standards. • Review Data Models, Data Mappings, and Architectural Documentation to execute effective system integration testing. • Work closely with Business Analysts, Architects, Development team and Product Owners to ensure data housed in multiple source systems is loaded to target accurately. • Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time. • Build new scripts and troubleshoot existing scripts. • Solve complex record and run issues including complex correlation problems. • Verify and validate data accuracy, completeness, and consistency using Extract/Transform/Load (ETL) tools and SQL queries. • Analyzes and troubleshoots erroneous results, determines the root cause of defects, logs the defects JIRA/QTest and enables defect management, including working with the development team on the resolution of Software related defects. • Drive opportunities and lead efforts to improve existing test processes or create new to increase efficiency and productivity in test case development, scheduling, or deployment. • Analyze test results and prioritize and log defects with appropriate information. • Manage multiple projects/deadlines with changing priorities. • Other duties as assigned.

• Develops and maintains logical, semantically rich, and extensible ontologies. • Supports integration between the ontology management system and source data management repositories. • Ensures the accuracy and consistency of ontological structures. • Collaborates with cross-functional teams to understand their information needs.