Here’s a list of 20 tech skills that were highly sought in 2024.

1. Python programming: Widely used in various fields including web development, data science, artificial intelligence, and automation.
2. Data analysis: Proficiency in tools like Pandas, NumPy, and data visualization libraries for extracting insights from large datasets.
3. Machine learning and AI: Understanding algorithms, neural networks, and frameworks like TensorFlow or PyTorch.
4. Cloud computing: Expertise in platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling applications.
5. DevOps: Knowledge of continuous integration/continuous deployment (CI/CD) pipelines, containerization (e.g., Docker), and infrastructure as code (e.g., Terraform).
6. Cybersecurity: Skills in network security, cryptography, penetration testing, and security frameworks like NIST or ISO 27001.
7. Full-stack web development: Proficiency in front-end technologies (HTML/CSS, JavaScript) and back-end frameworks (Node.js, Django, Flask, etc.).
8. Mobile app development: Experience with iOS (Swift) or Android (Kotlin/Java) development, including knowledge of app architecture and design patterns.
9. SQL database management: Expertise in writing complex queries, database design, and optimization for relational databases like MySQL, PostgreSQL, or SQL Server.
10. React.js/Vue.js/Angular: Front-end frameworks for building interactive user interfaces and single-page applications.
11. Big data technologies: Familiarity with tools like Hadoop, Spark, Kafka, and Hive for processing and analyzing large volumes of data.
12. Linux system administration: Proficiency in managing and configuring Linux servers, shell scripting, and command-line utilities.
13. UI/UX design: Understanding user interface design principles, wireframing, prototyping, and usability testing.
14. Blockchain development: Knowledge of blockchain fundamentals, smart contract development (e.g., Solidity), and decentralized application (DApp) development.
15. IoT (Internet of Things): Experience in connecting devices, sensor data collection, and IoT platforms like Arduino, Raspberry Pi, or AWS IoT.
16. Natural Language Processing (NLP): Skills in processing and analyzing human language data, including techniques like sentiment analysis, named entity recognition, and language translation.
17. Kubernetes: Container orchestration platform for automating deployment, scaling, and management of containerized applications.
18. Flutter: Google’s UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase.
19. Git version control: Proficiency in using Git for collaborative software development, including branching, merging, and resolving conflicts.
20. Quantum computing: Emerging field requiring knowledge of quantum mechanics, quantum algorithms, and quantum programming languages like Qiskit or Cirq.
Keep in mind that the tech landscape evolves rapidly, so it’s essential to stay updated with current trends and emerging technologies in the industry.