data engineering , Data Governance, Data integration techniques and tools, Data Analysis Interpretation, Data Architecture Principles, Cloud-based data platforms, Distributed computing environments

Perl, Tcl Scripting, Python, System Verilog, Synopsys Mentor VIPs, PCIe Gen3, random constraint-based testing, verification methodologies, performance power optimization, SMMU, CXL 1.1, Coresight architecture, assertion-based verification, Uvm, UPF, CHI protocols, Axi, formal verification, power-aware verification, coverage-driven testing, SVA

test protocols , Functional Testing, JIRA, Performance Testing, Installation Operational Performance Qualification Protocols, FDA MDD MDR, Iso, Design Verification, Iec, Sample Size Calculations, Traceability Matrices, Minitab, Data Analysis, Test Instructions

Log Analysis, Python, Scripting, Data Analysis, AI ML concepts as applied to network operations or AIOps, API integration for network automation including REST, anomaly detection, data center architecture and interconnection services, IP networking including L2 L3 BGP and routing, AI-driven monitoring tools, scalability and redundancy design, modern network architecture including cloud hybrid and SDN

Ms Excel, PI System, Process historian software, XHQ, Data Collection And Analysis, CREDO, Seeq, PRO-II, Pdms

Linux, Kubernetes, Python, Network Testing, Performance Profiling, storage validation, Bottleneck Analysis, GPU Debugging, NCCL, Slurm

Java, Javascript, Python, Performance Testing Tools, mobile application development and testing lifecycle