UPDATED SKILLS
Cloud Computing Skills
AWS, Google Cloud, Microsoft Azure: Expertise in deploying, managing, and scaling applications on cloud platforms.
Containerization: Familiarity with Docker and Kubernetes for managing scalable and containerized apps.
Serverless Architecture: Experience with services like AWS Lambda for event-driven and cost-efficient development.
DevOps & Automation
CI/CD Pipelines: Skills in Jenkins, GitLab CI, or CircleCI for continuous integration/continuous deployment.
Infrastructure as Code (IaC): Proficiency in Terraform, Ansible, and CloudFormation for automating infrastructure management.
Monitoring & Logging: Experience with tools like Prometheus, Grafana, and ELK stack for monitoring systems and applications.
Low-Code/No-Code Development
App Development Tools: Proficiency in tools like OutSystems, Appian, or Microsoft PowerApps to quickly develop enterprise apps.
Automation Platforms: Familiarity with automation platforms like Zapier and Airtable for creating automated workflows with minimal coding.
Data Science & Machine Learning
Python & R for Data Analysis: Mastering libraries like Pandas, NumPy, and SciPy for handling and analyzing data.
TensorFlow, PyTorch, Scikit-learn: Proficiency in machine learning frameworks for building AI models.
Data Visualization: Skills in using tools like Matplotlib, Tableau, or Power BI to present data insights.
Big Data: Knowledge of Hadoop, Spark, and Kafka for managing and processing large-scale data systems.
Blockchain Development
Smart Contracts: Developing decentralized apps (dApps) using Solidity or Rust for Ethereum and Polkadot ecosystems.
Blockchain Architecture: Understanding the structure and operation of blockchain technology.
Cryptography: Proficiency in cryptographic algorithms and principles that secure blockchain applications.
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