Course Information

  • Sessions 3 days
  • Duration 24 hrs
  • Level Intermediate
  • Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Skills Framework

TSC Title
Data Engineering
TSC Code
ICT-DIT-3005-1.1

Funding Validity

Funding for this course is valid from 28 Feb 2025 to 27 Feb 2027. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

By end of the course, learners should be able to:

  • LO1: Transform data using appropriate techniques in AWS to meet specific business requirements.
  • LO2: Operate AWS data warehouse systems and map data sources to optimize access, loading, and resource utilization.
  • LO3: Apply data profiling and analysis techniques to improve data quality, accuracy, and integrity on AWS
  • LO4: Identify data sources and create document encryption to meet security and governance needs.

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - AWS Certified Data Engineer Associate Training

Course Code: TGS-2025053209
  • WSQ
  • SFC
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

The WSQ AWS Certified Data Engineer Associate Training equips professionals with the essential skills to manage and optimize data workflows on AWS. Participants will learn to transform data using AWS services, operate and maintain AWS data warehouses, and apply data profiling techniques to enhance data quality and accuracy. The course also covers orchestrating data pipelines, designing schema evolution, and managing data storage efficiently to meet business needs.

Additionally, this training emphasizes security, governance, and compliance, ensuring participants can implement data encryption, authentication, and authorization mechanisms. Learners will also gain hands-on experience in automating data processing, monitoring pipelines, and preparing audit logs to meet governance requirements. This course prepares individuals for AWS data engineering roles by providing in-depth knowledge of AWS data services and best practices.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

WSQ Funding

Full Fee $1,500.00 Before GST
GST $135.00 9% of fee
Baseline Nett $885.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $585.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year.

Submit UTAP Claim

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal FormSubmit PSEA Form

Course FeeBefore Funding

$1,500.00 (GST-exclusive)
$1,635.00 (GST-inclusive)

Course Date

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Data Ingestion and Transformation 

Perform data ingestion

Transform and process data

Orchestrate data pipelines

Apply programming concepts

Topic 2: Data Store Management 

Choose a data store

Understand data cataloging systems

Manage the lifecycle of data

Design data models and schema evolution

Topic 3: Data Operations and Support 

Automate data processing using AWS services

Analyze data using AWS services

Maintain and monitor data pipelines

Ensure data quality

Topic 4: Data Security and Governance

Apply authentication mechanisms

Apply authorization mechanisms

Ensure data encryption and masking

Prepare logs for audit

Understand data privacy and governance

Assessment

  • Written Exam
  • Practical Exam

Course Info

Prerequisite

This is a intermediate courser. Participants should have basic knowledge on the following subjects:

  • HTML
  • CSS
  • Javascript
  • ES6 or Typescript

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

  • An AWS account – Free Tier available; a credit card is required to sign up

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

  • Singapore Citizens and Singapore Permanent Residents aged 21 and above.
  • Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
  • Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

  • Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
  • Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
  • Employers can also claim Absentee Payroll funding for employees who attend during working hours.
  • Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

  • Attendance is taken digitally with Singpass for every session, including the assessment.
  • You must complete the course and pass all assessments (assessed as Competent).
  • If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
  • 9% GST is charged on the full course fee before funding.
  • Promo and discount codes cannot be used on funded courses.
  • Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

  1. Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
  2. We email you an invoice showing the course fee after funding.
  3. From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
  4. Click Submit a Claim and search for this course by its course code, TGS-2025053209.
  5. Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
  6. Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

  • Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
  • SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
  1. Check your company's SFEC eligibility and balance on EnterpriseSG.
  2. Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
  3. Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
  4. No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

How to Apply UTAP (NTUC Members)

NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.

Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.

  1. Make sure your NTUC membership is paid up before the course starts.
  2. Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
  3. Attend at least 75% of the course and sit all assessments.
  4. Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
  5. Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
  6. NTUC usually pays the claim within 4 weeks of submission.

Read more in our UTAP guide.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

  1. Check that this course shows the PSEA tag on its MySkillsFuture page.
  2. Check your PSEA balance on MOE's Student Finance System with Singpass.
  3. Download and complete the PSEA withdrawal form, then submit it to us.
  4. We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
  5. MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

  1. When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
  2. Discuss the decision with the assessor or the assessment manager first.
  3. If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
  4. Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
  5. An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
  6. You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Job Roles

  • AWS Data Engineer
  • Data Engineer
  • Cloud Data Engineer
  • Big Data Engineer
  • Data Architect
  • AWS Solutions Architect
  • Data Warehouse Engineer
  • ETL Developer
  • Machine Learning Engineer
  • Business Intelligence Engineer
  • Data Analytics Engineer
  • Cloud Engineer
  • Database Administrator
  • DevOps Engineer
  • AI Engineer
  • Security Engineer
  • Data Governance Specialist
  • Compliance Analyst
  • AWS Consultant
  • IT Systems Analyst

Trainers

Trainers

Amin Mahetar is a cloud and DevOps engineer with over 15 years of experience in IT infrastructure, automation, and cloud solutions across AWS and Microsoft Azure environments. A Microsoft Certified Trainer (MCT) and Azure Administrator Associate, he has implemented and managed enterprise-scale cloud deployments across industries including finance, logistics, and manufacturing. His areas of expertise include virtualization, networking, identity management, and automation using PowerShell and Azure CLI. Known for his structured and hands-on training style, Amin has guided numerous professionals in achieving their Azure certifications and advancing their cloud careers.

Mohan Pothula is an Enterprise Architect and Data Engineering Leader with over 20 years of experience in designing cloud-native, data-driven solutions for financial and media institutions. He has held senior roles at DBS Bank, SPH Media, and Mediacorp, where he led large-scale data modernization initiatives and architected big data platforms for analytics and AI/ML workloads. His expertise includes cloud migration, microservices architecture, Kubernetes, and end-to-end data lifecycle management using AWS, Azure, and Snowflake. Mohan’s strategic approach to architecture design has driven cost optimization, improved scalability, and enabled governed AI/ML-ready data pipelines for enterprise use.
In this course, Mohan applies his extensive enterprise data experience to help learners master AWS-based data engineering concepts and best practices. His sessions emphasize building data lakes, orchestrating data pipelines, and deploying analytics solutions using AWS Glue, Redshift, and Lambda. Learners gain a strong foundation in designing secure, high-performance, and compliant data platforms aligned with real-world enterprise data strategies.

Truman Ng is a highly experienced IT and data infrastructure specialist with more than 20 years of expertise spanning cloud computing, data center engineering, and machine learning systems. He holds multiple professional certifications, including PMP®, Huawei HCIE®, Cisco CCNP®, and AWS Certified Solutions Architect. Truman has designed and deployed cloud data environments, automated data processing pipelines, and implemented AI-driven analytics for clients across diverse industries. As an ACTA-certified adult educator, he has delivered training in AWS, Python, RPA, and machine learning, combining technical mastery with a hands-on instructional approach.
In the AWS Certified Data Engineer – Associate Training course, Truman focuses on helping learners develop practical skills in data ingestion, transformation, and storage optimization within the AWS ecosystem. His sessions cover real-world applications of AWS data services such as Glue, S3, Athena, and Redshift, guiding participants through end-to-end data pipeline design. Through his structured, industry-aligned teaching, learners gain the competence to manage data engineering workloads and support analytics-driven decision-making across modern cloud architectures.

Quah Chee Yong is a WSQ ACLP-certified trainer and data science professional with strong expertise in AI, machine learning, and natural language processing. He has served as Data Science Training Lead for SAP’s SGUnited Mid-Career Pathways Programme and AI Training Lead at Sustainable Living Lab, where he delivered programs in predictive analytics, NLP, and workforce upskilling. With start-up and MNC experience, he has applied AI to recommender systems, chatbots, and digital assistants.
As a trainer, QCY has conducted AI, analytics, and ICT programs for a wide range of learners, from students to mid-career professionals. His teaching emphasizes practical adoption of emerging technologies, bridging technical depth with workplace relevance. In cybersecurity and IT programs, he focuses on building learners’ confidence in applying concepts to real-world challenges, ensuring they are well-prepared for future-ready roles.

Profile coming soon.

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