Introduction
The world of technology is evolving faster than ever. Businesses are adopting automation, AI, and advanced networking to stay ahead of competition. But with rapid transformation comes one big challenge—finding the right talent with the right skills.
Employers are no longer hiring based on just degrees. Instead, they want professionals who can apply modern tech skills to solve real-world problems—from building intelligent networks to analyzing business data.
At PyNet Labs, we constantly engage with learners, industry experts, and recruiters. And based on industry demand, we’ve identified the Top 10 Tech Skills Employers Are Hiring For in 2025. If you’re planning your next career move, this list could be your roadmap.
1. Network Automation – Powering the Future of IT
Why it’s in demand:
Enterprises now run massive, multi-vendor networks. Managing them manually is error-prone and slow. That’s why employers are prioritizing network automation, which allows engineers to use scripts, APIs, and tools to configure and monitor devices automatically.
Real-world example:
Companies like Cisco, Juniper, and large ISPs are integrating automation into their workflows. Even banks are adopting automation to ensure fast, secure, and consistent network updates.
Salary insights:
According to Indeed, network engineers with automation skills earn 25–30% more than those with only traditional networking knowledge.
Who should learn it:
- Freshers with CCNA knowledge wanting to stand out
- Networking professionals planning to move into DevNet/automation roles
2. Ansible & Terraform – The Language of Infrastructure as Code
Why it’s in demand:
Employers are shifting to Infrastructure as Code (IaC) for speed and scalability. Ansible automates configuration management, while Terraform handles provisioning across multiple cloud platforms. Together, they’re must-have skills for modern DevOps and networking teams.
Real-world example:
Netflix and Spotify rely on IaC to scale infrastructure on-demand, ensuring uptime during peak traffic.
Salary insights:
Cloud/network automation engineers with Ansible & Terraform earn ₹10–18 LPA in India and $110K+ in the U.S.
Who should learn it:
- Network engineers moving toward DevOps roles
- Cloud professionals aiming to manage multi-cloud environments
3. CCNA with Automation – The New Entry Point
Why it’s in demand:
The Cisco Certified Network Associate (CCNA) has always been the starting point for networking careers. But in 2025, employers want CCNA candidates who also understand Python, APIs, and automation frameworks.
Real-world example:
Global firms like Accenture and Infosys specifically mention “CCNA with automation skills” in job postings for network engineers.
Salary insights:
Entry-level engineers with CCNA + automation can earn ₹6–9 LPA in India and $70K+ abroad—higher than traditional CCNA profiles.
Who should learn it:
- Fresh graduates entering IT networking
- Professionals wanting a hybrid skill set (traditional + modern networking)
4. Data Science – The Goldmine of the Digital Era
Why it’s in demand:
Data is the new oil, and data science is how businesses extract its value. Employers want professionals who can build machine learning models, forecast trends, and provide decision-making insights, which is why enrolling in a data science course with placement guarantee has become a smart career move for aspiring data professionals.
Real-world example:
Amazon uses data science for personalized recommendations, while hospitals use it for predictive patient care.
Salary insights:
- Data Scientists in India earn ₹12–20 LPA.
- In the U.S., the average salary crosses $130K per year (Glassdoor).
Who should learn it:
- Freshers from any background (IT, commerce, or even non-technical fields)
- Professionals in IT, marketing, or finance wanting career growth
5. CCNP – Advanced Enterprise Networking
Why it’s in demand:
The Cisco Certified Network Professional (CCNP) is one of the most respected certifications for advanced networking. Employers hire CCNP-certified engineers for large-scale enterprise networks, troubleshooting, and security.
Real-world example:
Global service providers and MNCs like TCS, Wipro, and Dell prefer CCNP-certified professionals for mid-level networking roles.
Salary insights:
CCNP professionals in India earn ₹9–15 LPA, while in the U.S., salaries average $95K+ annually.
Who should learn it:
- CCNA-certified professionals ready to move up
- Engineers targeting enterprise networking or leadership roles
6. Generative AI – Redefining What’s Possible
Why it’s in demand:
Generative AI is changing how businesses work—automating customer support, generating content, and even writing code. Employers want professionals who understand how to leverage Large Language Models (LLMs) and AI tools responsibly.
Real-world example:
Companies like Google, Microsoft, and startups are embedding generative AI into products—from AI-powered chatbots to design assistants.
Salary insights:
Generative AI engineers earn ₹15–25 LPA in India and $140K+ abroad due to the talent shortage.
Who should learn it:
- Developers, analysts, and IT pros exploring AI careers
- Anyone curious about future-proof, cross-industry opportunities
7. SD-WAN – Networking for the Cloud Era
Why it’s in demand:
With remote work and multi-cloud adoption, employers rely on Software-Defined Wide Area Networking (SD-WAN) to ensure secure, high-performance connectivity.
Real-world example:
Banks like HSBC use SD-WAN to connect branches worldwide with lower costs compared to MPLS-only models.
Salary insights:
SD-WAN engineers in India earn ₹10–17 LPA, while global roles can reach $120K per year.
Who should learn it:
- Network engineers working with WANs
- Professionals aiming for cloud and hybrid networking roles
8. SCOR (350-701) – Cybersecurity Core
Why it’s in demand:
Cybercrime is rising. Employers need experts certified in SCOR (Cisco Security Core 350-701) to design and implement advanced security strategies.
Real-world example:
Companies in finance and healthcare require SCOR-certified engineers to manage firewalls, VPNs, and identity management.
Salary insights:
Cybersecurity engineers with SCOR average ₹12–20 LPA in India, while U.S. salaries exceed $115K annually.
Who should learn it:
- CCNP-level professionals wanting to specialize in security
- IT engineers targeting high-demand cybersecurity roles
9. MPLS – Still Valuable in Hybrid Networks
Why it’s in demand:
While SD-WAN is gaining traction, MPLS (Multiprotocol Label Switching) remains critical for enterprises that need guaranteed performance, reliability, and QoS.
Real-world example:
Telecom providers still depend on MPLS to manage latency-sensitive services like VoIP and video conferencing.
Salary insights:
MPLS engineers in India earn ₹8–14 LPA, while global roles often exceed $100K per year.
Who should learn it:
- Network engineers in ISPs, telecom, and banking
- Professionals handling large-scale WANs
10. Data Analysis – Practical, Everyday Business Impact
Why it’s in demand:
Not every company needs AI models, but all need data analysts to interpret and visualize information. Employers value data analysts for actionable insights that improve decision-making, which is why many professionals now choose a data analyst course with placement guarantee to build a secure and rewarding career.
Real-world example:
Retail chains use analysts to understand customer buying behavior and improve inventory management.
Salary insights:
Data analysts in India earn ₹6–10 LPA, while in the U.S., the average salary is $75K–90K annually.
Who should learn it:
- Fresh graduates looking for an entry into data careers
- Professionals in finance, HR, or operations aiming to upskill
Why Employers Value These Skills
Across industries, these 10 skills—automation, AI, networking, data, and security—stand out because they:
- Reduce costs and improve efficiency
- Strengthen cybersecurity and resilience
- Enable innovation in cloud and AI adoption
- Provide businesses with data-driven decision-making
Simply put, employers are hiring not just for knowledge, but for impact.
How PyNet Labs Can Help You Build These Skills
At PyNet Labs, we specialize in training professionals for the skills employers are asking for. Our programs cover:
- Networking & Automation: CCNA, CCNP, Network Automation, Ansible, Terraform
- Advanced Networking: SD-WAN, MPLS, SCOR (350-701)
- Data Careers: Data Science, Data Analyst
- AI Careers: Generative AI
We don’t just focus on passing exams. Our hands-on labs, real-world case studies, and expert trainers ensure you gain practical skills that employers trust.
Final Thoughts
The job market in 2025 belongs to professionals who adapt to change. By mastering these Top 10 Tech Skills—Network Automation, Ansible & Terraform, CCNA with Automation, Data Science, CCNP, Generative AI, SD-WAN, SCOR (350-701), MPLS, and Data Analysis—you place yourself among the most employable candidates worldwide.
If you want to future-proof your career, now is the time to act. With the right training at PyNet Labs, you won’t just learn—you’ll transform your career.
Ready to upgrade your skills? Explore PyNet Labs’ expert-led programs today and take the first step toward the career employers are already hiring for.
