Attend an Info Session
November 14th
6PM-7PM
Online
OVERVIEW
As a Microsoft Azure Data Engineer, you empower organizations to design, implement, and manage secure, scalable, and efficient data solutions using the Azure platform. You leverage Azure’s suite of data services to streamline data collection, storage, processing, and analysis. This program equips you with expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other tools to deliver impactful business insights.
MCIT’s Azure Data Engineer Program has been developed in collaboration with leading data professionals and organizations in Montreal. This ensures the curriculum stays current with industry trends and technologies. The program focuses on providing hands-on experience in data engineering best practices, preparing you for roles in industries where data is the backbone of decision-making. Small, personalized classes and expert-led instruction make this program an ideal choice for aspiring Azure data engineers.
This course introduces beginners to building scalable data solutions in Azure. Learn to design and implement data warehouses using Azure Synapse Analytics and create data pipelines with Azure Data Factory for efficient data integration and transformation. By the end of this course, you'll be prepared to manage large-scale data workflows and analytics in the cloud.
This course introduces beginners to Azure Databricks, a cloud-based data engineering platform that integrates with Apache Spark. It covers how to process large-scale data, build data pipelines, and use machine learning models for analysis and insights. Students will learn how to work with data using Azure Databricks and explore various Azure data services for data engineering.
At the end of the program, students work on a real-time, industry-simulated project during which they build databases and extract information from them, create data models, and prepare visualization reports.
These MCIT programs help you to be job ready.
The Intelligent Networking with companies, instructors sharing their network, Peer to peer networking, Meet with recruiters.
Resume is the key to making the first impact with your profile.
Resume building, LinkedIn Training, Mock interviews hosted by companies, Technical interview prep, Behavioral interviews.
We assist you turn your projects into relevant portfolios.
Enhance your portfolio with relevant projects, Tell your story, Relevancy of the projects, Display experience.
Mentorship & guidance - the key to career success.
The Mentors, instructors, or alumni help you understand the required skills for your desired career path and the path to land your dream job!
If you aspire to become any of the following roles:
Data Engineer | Data Analyst | ETL Developer | Big Data Engineer | Cloud Data Engineer| Azure Data Engineer Associate
Speak to an advisor to determine your eligibility and learn how this program can help you achieve your career goals.
BI Developer, Groupe Touchette
BI Developer, National Bank, Canada
BI Developer, Montreal College
BI Analyst, Industrial Alliance, Canada
The admission process entails the submission of several key documents.
Upon successful completion, you will earn a professional certification from MCIT in Microsoft Azure Data Engineering.
Students who have graduated with a post secondary diploma or degree from a qualifying institution in the last two years.
Students who have arrived in Canada two years or less at the time of submitting their application.
The Montreal College of Information Technology offers merit-based scholarships to deserving candidates,for exceptional academic or professional contributions.
We also have scholarships
for students who were laid off recently
in the past 6 months.
Conveying our commitment to student success through financial support.
Apply with the government to get financial aid through the AFE loan program (Aide financière aux études/Student financial assistance).
Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
I am international student from Haiti. I evaluated multiple colleges and choose Montreal College of Management taking into consideration several factors including tuition fee, program content and delivery methodology. Looking back, I feel that I have a made a right choice. The school’s blended training methodology of combining instructor led classroom training with e-learning aids has augmented and fast tracked my learning. I am glad that I have joined Montreal College and I am well and truly on my way to fulfill my career dreams.
Sacha Vieux Roy — Former studentTo get started in Data Engineering, you need a solid understanding of SQL, Python, and Power BI for data manipulation and visualization. Familiarity with cloud platforms (AWS, Azure, GCP) and ETL processes is also beneficial for building and managing data pipelines.
In this course, you will learn how to design, implement, and manage data solutions on the Microsoft Azure platform. You’ll gain hands-on experience with Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, enabling you to process, store, and analyze data at scale.
Our course content is curated from industry-recognized leaders such as Enterprise Big Data Framework, Microsoft, Python, ensuring alignment with the latest industry standards and practices. Each program is thoughtfully designed to equip students with the knowledge and skills necessary to excel in their chosen field and to confidently pursue real-world certifications.
Graduates of this program can pursue various career paths including business intelligence analyst, data scientist, big data engineer, data engineer, data analyst, and more. Our career services team provides guidance and support for job placement and advancement.
Yes, we offer flexible study options including part-time evening classes and online courses to accommodate students with busy schedules or those unable to attend in person.
Our programs utilize a combination of lectures, hands-on lab exercises, case studies, and real-world projects to ensure a comprehensive learning experience. We also provide access to online resources and support forums for additional learning.