Search Cheat Sheet-understanding the JD

Role Type:- Developer → Java, Python,.NET, React, etc.- Data → Data Engineer, BI, ETL, Data Scientist- Cloud/DevOps → AWS, Azure, GCP, Kubernetes, Terraform- ERP/Enterprise Apps → SAP, Oracle, Workday, Dynamics- QA/Testing → Automation, Selenium, API testing- BA/Product → Business Analyst, Product Owner, Product Manager- Architect → Solution, Cloud, Enterprise, Data- Project/Program → PM, Scrum Master, Program Manager- Security → Cybersecurity, IAM, SOC, Cloud Security Must Have Skills:- Core Skills- Supporting Skills- Industry Domain- Seniority- Environment Project Context:- Implementation: Setting up a new system/application for the first time (New system rollout, configuration, deployment, UAT)- Migration: Moving an existing system/data from one platform to another (Cloud migration, data migration, application migration)- Modernization: Updating an old technology to a newer/better technology (Legacy upgrade, cloud adoption, microservices, containerization)- Transformation: A broader change to technology, architecture, processes, or business capabilities (Digital transformation, cloud transformation, ERP transformation)- Development: Building a new application, feature, or functionality (Coding, APIs, applications, SDLC)- Production Support: Keeping live systems running and fixing issues (Incident management, troubleshooting, bug fixes, monitoring)- Integration: Connecting different systems so they can exchange data (APIs, middleware, Kafka, MuleSoft, Boomi, ETL)- Upgrade: Moving an existing system to a newer version (SAP upgrade, Java upgrade, database upgrade, OS upgrade)- Legacy Modernization: Specifically replacing or significantly improving old/legacy systems (Mainframe modernization, legacy Java → microservices, COBOL → modern platform)