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Professional Training · Data & Analytics Track

Data Engineering on AWS

Learn to build, secure and operate data pipelines and analytics solutions on AWS. The course covers ingestion, storage, transformation and cataloguing of data, along with the AWS services used to deliver reliable, cost-effective analytics.

Authorised Instructor

  • Hui Liang

    Chief Digital Officer

    • Data Engineer – Associate
    • Security – Specialty
    • Generative AI Developer – Professional
    • Solutions Architect – Professional
    • +5 more

This class is delivered by our AWS Authorised Instructor for this specialisation. Trainers confirmed on enrolment.

Who Should Attend

  • Data Engineers: Engineers building and operating data pipelines.
  • Analytics Engineers: Practitioners preparing data for analysis and BI.
  • ETL Developers: Developers moving and transforming data at scale.
  • Data Platform Engineers: Owners of shared data platforms on AWS.
  • Solutions Architects: Architects designing data-intensive workloads.

Prerequisites

This is an intermediate course. To get the most from it, you should have:

  • Familiarity with core AWS services and use cases.

  • Working knowledge of SQL.

  • A basic understanding of data warehousing concepts.

Learning Objectives

In this course, you will learn to:

  • Design ingestion: Build pipelines for batch and streaming data.

  • Store cost-effectively: Choose and catalogue the right storage for data.

  • Transform data: Process and enrich data with AWS Glue and related services.

  • Secure and govern: Protect and control data across the pipeline.

  • Operate analytics: Monitor and optimise analytics workloads.

Certification

This course maps to the AWS Certified Data Engineer – Associate exam, a fast-growing credential for data professionals. As an AWS Advanced Tier Authorised Training Partner, we pair the pipeline labs with exam-focused review.

The examination evaluates your competency across these domains:

  • Data Ingestion & Transformation: Move and process data reliably.

  • Data Store Management: Select and manage appropriate data stores.

  • Operations & Support: Automate, monitor and troubleshoot pipelines.

  • Security & Governance: Apply access controls, encryption and cataloguing.

Format
65 questions; multiple choice or multiple response
Type
Associate level certification
Delivery Method
Pearson VUE testing center or online proctored exam
Time Duration
130 minutes
Investment
150 USD
AWS Advanced Tier Authorised Training Partner

Pricing on Request

Duration
3 Days
Level
Intermediate
Certification
AWS Certified Data Engineer – Associate
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In-person in Kuala Lumpur or live virtual. Team & enterprise rates available.

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