Responsibilities
1. Contribute to technology and digital transformation projects.
2. Assist in preparing client presentations and proposals.
3. Conduct research and analysis on IT and technology trends.
4. Work with senior team members to analyze business practices and identify technology‑driven improvement opportunities.
5. Collect, clean, and prepare data from multiple sources to ensure quality and usability.
6. Write and maintain scripts using Python and SQL to process and analyze data.
7. Support exploratory data analysis to identify trends, patterns, and insights.
8. Assist in developing and testing basic machine learning models.
9. Help build dashboards and visualizations using tools such as Power BI.
10. Test and validate data pipelines to ensure accuracy and reliability.
11. Work with cloud-based data platforms and support data workflows.
Essential Skills
12. Passion for technology & digital innovation.
13. Motivation for a career in technology consulting.
14. Curiosity about Data & AI, Cloud, Software Engineering, or Cybersecurity.
15. Basic interest/experience in Python, SQL, C#, automation, or software development.
16. Familiarity or willingness to learn Git, DevOps, engineering principles.
17. Desire to train on Microsoft Azure or existing Microsoft certification.
18. Interest in cloud platforms (Azure preferred).
19. Communication skills (written & spoken English).
20. Analytical thinking and problem‑solving.
21. Teamwork and collaboration.
Beneficial Experience
22. Basic Python / SQL / C# / automation.
23. Knowledge of Data Engineering, AI, Software Engineering, Cybersecurity, IAM, or Cloud Security.
24. Awareness of Agile/Scrum.
25. Interest or experience with Azure, AWS, or GCP.
26. Version control or DevOps exposure.
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