Data Engineer Training
Data Engineer Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Don’t miss your chance to kickstart your career in data engineering with Checkmate IT Tech! Enroll in our Data Engineer Training program today and position yourself for success in this fast-growing field. Your journey to becoming a data expert starts here!
- 10+ Courses
- 30+ Projects
- 400 Hours
Aspiring Data Engineers: Perfect for those who are new to data engineering and wish to learn the fundamentals of database administration, big data technologies, and data architecture.
Software developers: Ideal for developers who want to go into data engineering positions, where they will manage data storage systems and procedures.
Database Administrators (DBAs): Designed for DBAs who want to broaden their expertise to encompass ETL procedures, cloud data administration, and building data pipelines.
Scientists and Data Analysts: Helpful for scientists and data analysts who want to learn more about data engineering procedures to enhance the quality and accessibility of data for analytics.
IT Workers in Data-Driven Positions: Excellent for IT workers who oversee data systems and try to comprehend the underlying framework to facilitate effective data flows.
Data Engineer: Data engineers create and manage architecture and data pipelines to facilitate analytics and machine learning.
Big Data Engineer: Using Hadoop, Spark, and Kafka to handle massive amounts of data.
ETL Developer: Creating and overseeing ETL procedures for data loading into data warehouses, extraction, and transformation.
Data Architect: Data architects provide databases, storage systems, and data management frameworks to facilitate data workflows.
Machine Learning Engineer: In order to optimize machine learning models, machine learning engineers work in tandem with data scientists and oversee data pipelines.
The USA and Canada provide excellent career prospects, attractive incomes, and opportunities for promotion in the rapidly changing data area, since there is a high demand for data engineers in industries such as banking, healthcare, technology, and e-commerce.
- 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
Data Engineer: Data engineers create and manage architecture and data pipelines to facilitate analytics and machine learning.
Big Data Engineer: Using Hadoop, Spark, and Kafka to handle massive amounts of data.
ETL Developer: Creating and overseeing ETL procedures for data loading into data warehouses, extraction, and transformation.
Data Architect: Data architects provide databases, storage systems, and data management frameworks to facilitate data workflows.
Machine Learning Engineer: In order to optimize machine learning models, machine learning engineers work in tandem with data scientists and oversee data pipelines.
The USA and Canada provide excellent career prospects, attractive incomes, and opportunities for promotion in the rapidly changing data area, since there is a high demand for data engineers in industries such as banking, healthcare, technology, and e-commerce.
