Azure Data Engineer Training
Azure Data Engineer Training offers comprehensive training on developing, putting into practice, and overseeing data solutions utilizing Microsoft Azure technologies. Important topics, including data processing, storage, integration, and security in the Azure cloud environment, are covered in the program. With Azure’s toolkit and services, participants learn how to manage massive data workloads, maximize performance, and guarantee data quality.
- 10+ Courses
- 30+ Projects
- 400 Hours
Azure Data Engineer Training is suitable for the following target audiences:
Data Engineers: This course is perfect for data engineers who want to become more proficient with Azure’s data solutions and enhance their capacity to plan, develop, and execute cloud-based data architectures and pipelines.
Database Administrators: This course is ideal for database administrators who want to add cloud-based data solutions to their current skill set and switch to Azure data management.
IT Professionals: This program is intended for IT professionals who want to focus on cloud data engineering and use Azure services to store, process, and analyze data.
Business Intelligence (BI) Analysts: Perfect for business intelligence (BI) professionals who wish to use Azure tools to improve their data handling and analysis skills to facilitate data-driven decision-making.
Data Scientists: Designed to help data scientists make seamless data access and processing by incorporating Azure data engineering standards into their workflows.
Azure Data Engineer: Creating and overseeing data pipelines, lakes, and warehouses on Microsoft Azure.
Cloud Data Engineer: The role of a cloud data engineer is to create and manage cloud-based data architectures while guaranteeing data availability and integration inside the Azure environment.
Data Architect: Data architects use Azure technologies to create and optimize data models, structures, and solutions that support business objectives and data management strategies.
Business Intelligence Developer: Using Azure capabilities, creating dashboards and BI solutions that make data analysis and reporting easier.
Data Integration Specialist: Overseeing responsibilities related to data integration, guaranteeing smooth data transfer across different systems and Azure platforms.
As more businesses use cloud-based data solutions, these positions in the USA and Canada provide competitive pay and opportunities for professional progression.
- Agile Overview
- Agile Manifesto & Principles
- Agile vs. Traditional (Waterfall) Approaches
- Scrum, Kanban, XP – overview of frameworks
- Role of a Business Analyst in Agile BA responsibilities in Agile teams
- Collaboration with Product Owner, Scrum Master, Dev Team
- Scrum Deep Dive
- Roles, Events, Artifacts
- Product Backlog, Sprint Planning, Review, and Retrospective
- Kanban Basics (WIP limits, continuous flow)
- Scaling Agile (SAFe, LeSS, Nexus) – intro level
- Tools included : Jira / Trello setup basics
- Gathering Requirements in Agile
- Just-in-time requirements
- Collaborative discovery
- User Stories & Acceptance Criteria
- INVEST criteria and Definition of Ready / Done
- Story Mapping & Backlog Grooming
- Jira / Confluence Training
- Backlog creation, story linking, boards
- Wireframing & Prototyping
- Tools: Balsamiq / Figma / Draw.io
- Facilitation Techniques
- Agile workshops (Story Mapping, Impact Mapping)
- Agile Planning Levels (Roadmap, Release, Sprint planning)
- Estimation Techniques (Planning Poker, T-Shirt sizing)
- Prioritization Methods (MoSCoW, Kano Model, WSJF)
- Performance Metrics (Velocity, Burnup/Burndown charts , Lead/Cycle Time)
- BA Contribution Metrics (Requirements churn, value tracking)
- How to create and maintain Dashboards in Jira
- Case Study: Analyse sprint reports & suggest improvements
- Stakeholder Management
- Effective Communication
- Facilitation & Conflict Resolution
- Agile Project Simulation End-to-end product backlog creation
- Resume Building for Agile BA
- Mock Interviews & Job Placement
This course is ideal for aspiring Business Analysts, working professionals transitioning to Agile roles, Product Owners, Project Managers, and anyone interested in Agile practices and business analysis.
No technical background is required. The course is designed to help non-technical individuals understand Agile concepts and tools in a practical, easy-to-follow manner.
The duration for Agile Business Analyst training is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech. We also guide you on pursuing global certifications like IIBA-AAC and ICAgile-BA.
Absolutely! The course includes hands-on exercises, case studies, and a capstone project to simulate real Agile environments.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
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Job opportunities in USA and Canada
Azure Data Engineer: Creating and overseeing data pipelines, lakes, and warehouses on Microsoft Azure.
Cloud Data Engineer: The role of a cloud data engineer is to create and manage cloud-based data architectures while guaranteeing data availability and integration inside the Azure environment.
Data Architect: Data architects use Azure technologies to create and optimize data models, structures, and solutions that support business objectives and data management strategies.
Business Intelligence Developer: Using Azure capabilities, creating dashboards and BI solutions that make data analysis and reporting easier.
Data Integration Specialist: Overseeing responsibilities related to data integration, guaranteeing smooth data transfer across different systems and Azure platforms.
As more businesses use cloud-based data solutions, these positions in the USA and Canada provide competitive pay and opportunities for professional progression.
