Online Trainer Data Engineering (AWS / Azure / Google Cloud Platform)

Overview

Remote
Depends on Experience
Full Time

Skills

AWS
Azure
GCP

Job Details

Job Title: Online Trainer Data Engineering (AWS / Azure / Google Cloud Platform)

Company: Brilliant Academe Inc.

Location: Remote (Edison, NJ & Noida, India)

Employment Type: Part-Time / Contract

 

About Us:

Brilliant Academe Inc. is a premier IT training and career transformation company dedicated to equipping learners with the skills needed to thrive in today’s tech-driven world. We are seeking an experienced and passionate Cloud Data Engineer Trainer with expertise in AWS, Azure, and Google Cloud Platform to deliver comprehensive, hands-on training that prepares students for industry certifications and real-world roles.

 

Job Overview:

As a Cloud Data Engineer Trainer, you will conduct engaging, certification-oriented, and project-driven training programs across AWS, Azure, and Google Cloud Platform. This 6–8 week program (40–60 hours total) includes live sessions, hands-on labs, assignments, and a final capstone project. Your goal is to prepare students for cloud data engineering certifications (e.g., AWS Data Analytics, Azure DP-203, Google Cloud Platform Data Engineer) and practical job readiness.

 

Key Responsibilities:

  • Deliver online training sessions on cloud data engineering tools and practices in AWS, Azure, and Google Cloud Platform.
  • Guide students through the certification objectives for AWS Data Analytics Specialty, Azure DP-203, and Google Cloud Platform Professional Data Engineer.
  • Design and supervise hands-on labs and real-world assignments using cloud-native services.
  • Lead a 2–3 week capstone project, integrating concepts from all three cloud platforms.
  • Track student progress, assess performance, and provide continuous feedback.
  • Submit a detailed training report and performance summary upon completion.
  • Stay current with industry advancements in cloud data engineering and adjust content accordingly.

 

Required Qualifications:

  • 3+ years of professional experience as a Cloud or Data Engineer using AWS, Azure, and/or Google Cloud Platform.
  • Hands-on experience with core services:
    • AWS: Glue, Redshift, S3, Lambda, Kinesis
    • Azure: Data Factory, Synapse, Databricks, SQL Database, Power BI
    • Google Cloud Platform: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer
  • Strong expertise in ETL pipelines, data lakes, data warehousing, and cloud-native architecture.
  • Proficiency in Python, SQL, and at least one big data framework (Spark, Hadoop, etc.).
  • Prior experience in training, mentoring, or teaching in a technical setting.
  • Excellent communication and presentation skills.
  • Familiarity with LMS platforms and virtual training tools.

 

Preferred Skills:

  • Relevant certifications:
    • AWS Certified Data Analytics – Specialty
    • Microsoft Certified: Azure Data Engineer Associate (DP-203)
    • Google Professional Data Engineer
  • Experience with CI/CD, DevOps, and infrastructure automation (Terraform, Ansible, etc.).
  • Exposure to AI/ML integrations in cloud data platforms.
  • Knowledge of data governance, security, and compliance in cloud environments.
  • Passion for teaching and mentoring aspiring IT professionals.

 

Why Join Us?

  • Shape the next generation of multi-cloud data engineers.
  • Work with a reputable IT training company committed to hands-on, results-driven learning.
  • Flexible remote work environment.
  • Competitive compensation based on experience and engagement type.
  • Opportunity to stay at the forefront of cloud technologies through ongoing curriculum development.

 

If you are passionate about AWS/Azure/Google Cloud Platform Data Engineering and teaching, we’d love to hear from you! Apply today to help students gain hands-on skills and AWS certification success.

To Apply: Please send your resume to with the subject AWS/Azure/Google Cloud Platform Data Engineering Trainer Application .

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Brilliant Infotech Inc.