Role & Responsibilities: Conduct interactive training sessions on Python, SQL, Pandas, NumPy, Power BI, and Data Visualization . Teach ETL, Data Cleansing, and Data Warehousing concepts with real-time project examples. Design and update training materials, exercises, and assessments . Mentor students and help them solve real-world data analytics and engineering problems . Provide individual feedback and support for career and placement preparation. Stay updated with latest data tools and technologies to enhance course delivery. Preferred candidate profile: Good experience in Data Analytics / Data Engineering / Training . Strong in Python (Pandas, NumPy) and SQL . Hands-on experience with Power BI / Tableau . Knowledge of ETL, Data Warehousing, and AWS / PySpark preferred. Excellent communication, presentation, and mentoring skills. Passionate about teaching and guiding students towards data careers.
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