AWS Certified Data Engineer – Associate

Intermediate Level

Demonstrate your expertise in designing data models, managing data lifecycles, and maintaining data quality.
The AWS Certified Data Engineer – Associate certification validates your expertise in core AWS data services, showcasing your ability to ingest, transform, and orchestrate data pipelines.
It also assesses your proficiency in applying programming concepts, designing data models, managing data lifecycles, and ensuring data quality.
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Course Summary:

Learn the concepts, strategies, and best practices for designing a cloud-based data warehousing solution with Amazon Redshift in this course.

This course teaches how to ingest, store, and transform data in a data warehouse using Amazon Redshift. Key topics include Redshift’s purpose, features, and capabilities; designing solutions with AWS best practices; integration with AWS and non-AWS services; and performance tuning, orchestration, security, and monitoring.

Keen to explore more? Reach out to us or explore our:

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Fees:

RM5,400 – RM6,075

Intakes:

10-12 Sep 2025 | 8-10 Oct 2025 | 12-14 Nov 2025 | 3-5 Dec 2025

Skills measured:

  • Data Ingestion and Transformation (34% of scored content)
  • Data Store Management (26% of scored content)
  • Data Operations and Support (22% of scored content)
  • Data Security and Governance (18% of scored content)

Who is this for?

  • Data Engineer
  • Data Architect
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Showcase proficiency in architecting scalable data models, overseeing end-to-end data lifecycle management, and enforcing robust data quality assurance protocols.

According to the World Economic Forum’s Future of Jobs Report 2023, data-related roles in Malaysia are expected to grow by 71% in the industry sector from 2023 to 2027.
The Malaysia Digital Economy Blueprint aims to have 50% of data machine-readable with access through APIs by 2025 and to increase local data center industry revenue to RM3.6 billion by 2025, emphasizing the importance of data and cloud technologies.
Amazon Web Services (AWS) has announced a US$6.2 billion investment in Malaysia through 2038, expected to support over 3,500 full-time equivalent jobs annually, as reported by The Edge Malaysia.
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Validate In-Demand Data Engineering Skills:

This certification validates your expertise in core AWS data services, including data ingestion, transformation, orchestration, and pipeline management. It demonstrates your ability to design data models, manage data lifecycles, and ensure data quality, making you an asset in the data-driven industry.

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Enhance Career Opportunities and Credibility:

As organizations increasingly rely on cloud-based data solutions, AWS-certified professionals are in high demand. This certification enhances your credibility and opens doors to roles like Data Engineer, Cloud Data Architect, and Data Analyst.

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Master AWS Data Services and Best Practices:

The certification equips you with hands-on skills in AWS data services like Amazon Redshift, Glue, Kinesis, and Lambda. You’ll also learn to apply AWS best practices, including the Well-Architected Framework, to design efficient and scalable data solutions.

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Stay Competitive in a Growing Field:

With the rapid growth of big data and cloud computing, this certification ensures you stay competitive in the job market. AWS certifications are recognized globally, giving you an edge in both local and international opportunities.

Why choose Trainocate?

Trainocate was recognized as the 2024 AWS Training Partner of the Year at AWS re:Invent 2024, highlighting its excellence in cloud skills development and commitment to digital transformation in Malaysia. This award reinforces Trainocate’s reputation as a top-tier AWS training provider, ensuring learners receive industry-recognized education with the latest cloud technologies. By choosing Trainocate, participants benefit from an award-winning institution dedicated to equipping professionals with in-demand AWS skills to drive career growth and business innovation.

AWS Certified Data Engineer – Associate (DEA-C01) Exam Overview

Category:

Associate

Exam Duration:

130 minutes

Exam Format:

65 questions; either multiple choice or multiple response

Cost:

150 USD
Visit Exam pricing for additional cost information, including foreign exchange rates

Language offered:

English, Japanese, Korean, Portuguese (Brazil), and Simplified Chinese

Testing options:

Pearson VUE testing center or online proctored exam

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

The ideal candidate for this exam has the equivalent of 2-3 years of experience in data engineering or data architecture and a minimum of 1-2 years of hands-on experience with AWS services.

This is an in-demand role with a low supply of skilled professionals. AWS Certified Data Engineer – Associate and accompanying prep resources offer you a means to build your confidence and credibility in data engineer, data architect, and other data-related roles.

The AWS Certified Security – Specialty certification is a recommended next step for cloud data professionals to validate their expertise in cloud data security and governance. View AWS Certification paths to learn more and plan your AWS Certification journey.

The AWS Data Engineer Associate certification validates skills in building, operating, and optimizing data infrastructure on AWS—skills in demand for roles including:

  • Data Engineer
  • Data Pipeline / ETL Developer
  • Cloud Data Analyst

According to ERI SalaryExpert (2025), the average annual salary for an entry-level Data Engineer in Malaysia (1–3 years experience) is RM101,734, while senior engineers can earn up to RM179,658.

This makes the certification a gateway into data-centric roles within industries such as Finance, e-commerce, and Government, especially in organizations investing in cloud data warehousing, real-time analytics, and scalable data pipelines.

Pro Tip: Showcase a sample data pipeline using AWS (e.g., ingesting data via Kinesis into Redshift) to demonstrate your practical readiness and set yourself apart from other certified candidates.

AWS has earmarked US$6.2 billion (approx. RM29.2 billion) to develop and support its Malaysia region through 2038, including three Availability Zones and infrastructure for cloud-based data services.

This commitment powers expansion in sectors like e-commerce, finance, and public services—generating demand for professionals capable of architecting data platforms, managing ETL pipelines, and ensuring data governance.

Analyst reports co‑commissioned by BCG and MDEC further highlight growing demand for roles in cloud, AI, and data analytics across Malaysia. The AWS Data Engineer Associate certification offers a fast, reliable way for professionals to signal validated skills in this high-growth space.

Pro Tip: When applying, align your AWS certification with the Malaysia region rollout—mention familiarity with local Availability Zones or data residency practices to signal regional readiness.

The AWS Data Engineer certification covers:

  • Streaming ingestion and processing services (e.g., Kinesis, Lambda)
  • Schema design and transformation using Glue and Redshift
  • Data security and compliance via IAM, encryption, and secure storage

Malaysia’s national cloud and AI policies emphasize secure data utilization, while enterprises are adopting real-time insights through dashboards and predictive analytics. The AWS certification ensures candidates are skilled at building these architectures with best practices for scalability and security.

Pro Tip: Create a small proof-of-concept that ingests streaming data into Redshift or S3 and visualize it via QuickSight—this practical sample can greatly strengthen your portfolio.

JobStreet currently lists opportunities for AWS data roles ranging from RM6,000 to RM15,000/month, demonstrating active recruitment across mid-tier roles.

Employers in industries such as banking, tech, and logistics prefer candidates who can hit the ground running—handling ETL, orchestration, and performance tuning in AWS environments. AWS certification communicates exactly that level of capability, reducing ramp-up time and minimizing hiring risk.

Pro Tip: Add a short line to your resume like: “AWS-certified in Data Engineering with real-world experience in serverless and batch data pipelines,” to help recruiters identify your fit quickly.

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