Job Description

We are seeking a highly skilled and enthusiastic

Trainer

to develop and deliver comprehensive training programs in

Python Programming

,

Full Stack Web Development

, and

Data Analytics

. The ideal candidate will have deep expertise in all three areas, a passion for teaching, and the ability to convey complex technical concepts clearly and engagingly to diverse audiences, from beginners to experienced professionals.

Key Responsibilities

Training Delivery and Development

Design, develop, and update

curriculum, course materials, exercises, projects, and assessments for various training modalities (in-person, virtual, blended).

Conduct engaging and interactive training sessions

on foundational and advanced topics in Python, Full Stack Development, and Data Analytics.

Mentor and coach

trainees, providing constructive feedback and technical support throughout the training lifecycle.

Assess trainee progress

and provide performance reports to management. Stay up-to-date with the

latest industry trends

, technologies, and best practices in the three core areas to ensure the curriculum remains relevant and cutting-edge.
Technical Expertise

Serve as the

Subject Matter Expert (SME)

in all training areas. Assist in developing and reviewing technical case studies and practical, real-world projects.
Required Qualifications and Skills

General Trainer Skills

Proven experience as a

technical trainer, instructor, or educator

in a professional or academic setting. Exceptional

communication, presentation, and interpersonal skills

. Ability to

explain complex technical concepts

simply and effectively. Strong

organizational and time management

skills.
Python Programming

Deep proficiency in

Python

and its core libraries. Experience with

Object-Oriented Programming (OOP)

principles in Python.
Full Stack Web Development

Strong understanding of

Front-End

technologies: at least one modern framework/library (e.g.,

React, Angular, Vue.js

). Expertise in

Back-End

development using

Python frameworks

(e.g.,

Django, Flask

). Familiarity with

RESTful APIs

design and integration. Experience with

Database Management

systems (

SQL/NoSQL

, e.g., PostgreSQL, MySQL, MongoDB). Knowledge of

version control systems

(Git/GitHub).
Data Analytics

Solid experience with the

Python Data Science Stack

:

Pandas, NumPy, SciPy

. Proficiency in

Data Visualization

tools and libraries (e.g.,

Matplotlib, Seaborn, Plotly, Tableau, Power BI

). Understanding of

Statistical Analysis

and common

Machine Learning

algorithms. Experience with

data cleaning, wrangling, and exploratory data analysis (EDA)

.
Job Types: Full-time, Part-time

Work Location: In person