DataOps Specialist
Master agile and traditional methodologies to lead successful digital projects!
Become a DataOps Developer and master fundamental technologies (Python, SQL, Cloud) and reflexes that will give you great versatility to play your role as a data orchestrator or evolve towards other software development roles, AI, or a Business orientation in the future.
Our Program Overview
Recent graduates in computer science
Junior developers looking to upgrade their skills
Professionals transitioning to data orchestration
Duration
Length
5 months full-time
Total Hours
800 hours
Weekly Hours
40 hours/week
Total Weeks
20 weeks
Why Choose This Program
Sought-After Expertise
Acquire highly specialized expertise that's in high demand in the market
Ubiquitous Technologies
Upgrade skills in technologies that have become ubiquitous
Flexibility
Work as a freelancer or in a company
Key Skills
Develop crucial and highly sought-after skills: understanding and translating needs, analytical thinking, creativity, problem-solving, and teamwork
Career Opportunities
Data Scientist
Data Analyst
Business Intelligence Analyst
DevOps Engineer
DataOps Engineer
Salary Range
10,000 to 15,000 MAD net/month (average entry-level salary)
Target Organizations
Digital service companies (IT consultancies)
Moroccan technology startups
Offshoring and shared service centers
Large companies in digital transformation
Software publishers and SaaS platforms
Freelance
Admission Requirements
Education
Master's degree (Bac +5) minimum in mathematics, statistics, computer science, or related field
Language
Proficiency in French and English (minimum B1 level)
Assessment
Successful completion of an entrance test
Skills Objectives
Understand the importance of data, its impact on business, and the challenges of data management and availability. Design, implement, and maintain robust, performant, secure, and scalable pipelines to transform and serve data between different systems.
Develop automated, robust, and performant data pipelines
Master Continuous Integration/Continuous Deployment processes specific to data
Manage large volumes of data in the Cloud through proper data storage approach selection and underlying infrastructure modeling
Ensure monitoring and optimization of data transformation and distribution flows, and error recovery in case of failure
Implement data quality assurance and security mechanisms to ensure reliability at each stage of their lifecycle
Collaborate in agile teams to deliver solutions adapted to needs
Course Modules
Python for Data Science
Data Acquisition and Management
Cloud Computing & DevOps
Advanced Data Infrastructure
Architecture & Governance
Data Manipulation and Visualization
Data Pipeline Engineering
Production and Optimization
Integrated Final Project
Hands-on Project Work
Creation of a complete data infrastructure, from raw data processing to Feature Store, to train AI recommendation algorithms on ready-to-use data
A 220-hour final project, simulating a real enterprise mission, carried out under professional conditions with presentation and complete business deliverables
Essential Skills & Competencies
Some power skills are integrated into technical modules; others are delivered through dedicated sessions.
Behavioral, Cognitive & Operational
Communication & Interpersonal Skills
Cognitive Skills & Problem Solving
Agile Organization & Productivity
Learning & Adaptability
Employability Focus
Job Search Strategy
Personal Branding
Recruitment Process Mastery
Career Planning
Practical Applications
Communication Workshops
Agile Team Meeting Simulations
Test Report Presentations
Group Problem-Solving Sessions
Expert Mentorship & Guidance
Get personalized guidance and industry insights from experienced professionals in the field of data engineering and operations.