# AWS Data Engineer-Associate (DEA-C01) 

> Join Edoxi’s 40-hour AWS Data Engineer-Associate Course in Dubai. Gain expertise in building scalable data pipelines and get certified. Enrol now.

## Course Details
- Rating: 4.9/5
- Location: Dubai, UAE
- Category: Cloud Computing
- Sub-Category: AWS

## Course Introduction
Edoxi’s 40-hour AWS Data Engineer–Associate (DEA-C01) Certification Training in Dubai prepares you to design, build, and scale modern data pipelines using AWS services. Gain hands-on experience with Kinesis, Glue, Redshift, and EMR through real AWS lab environments and practical projects. Enrol now!

## Course Overview
- Delivery Modes: Online, Classroom
- Course Duration: 40 Hours
- Corporate Days: 5 Days
- Learners Enrolled: 50+
- Modules: 13

## What Do You Learn from Edoxi's AWS Data Engineer-Associate Training

**Design Scalable Data Pipelines**
You learn to illustrate comprehensive data pipelines using AWS services like Kinesis, Lambda and Glue to meet diverse use cases. You also learn how to implement architecture patterns that optimise for throughput and reliability.

**Implement Security and Governance**
You learn to identify risks and implement approaches to secure data across pipeline stages using AWS security services. You also learn to establish governance frameworks that maintain compliance throughout data transformations.

**Master Data Storage Solutions**
You learn to select optimal storage options from S3-based Data Lakes to Redshift Data Warehouses based on analytics requirements. You also learn to apply partitioning strategies that enhance query performance and reduce costs.

**Process Multi-Format Data**
You learn to implement pipelines that process structured, semi-structured and unstructured data using AWS Glue ETL jobs. You also learn to create workflows that maintain data integrity across format transformations.

**Leverage Big Data Technologies**
You learn to explain MapReduce concepts and implement EMR clusters running Apache Hadoop and Apache Spark. You also learn to configure distributed processing environments that scale to handle petabyte-scale datasets.

**Prepare Data for Analytics and ML**
You learn how to clean, normalise and enrich data for downstream analytics and ML workflows. You also learn to develop feature engineering processes that support training and inference tasks.

## About This Course
## About Our AWS Data Engineer-Associate (DEA-C01) Certification in Dubai

Edoxi’s AWS Data Engineer-Associate (DEA-C01) course is designed to equip you with the practical skills needed to build scalable, secure, and high-performance data pipelines in the AWS cloud. This AWS Data Engineer-Associate (DEA-C01) training provides an industry-aligned learning path for IT professionals, data engineers, and organisations seeking to modernise their data systems and adopt cloud-native architectures.

Through hands-on AWS labs, the AWS Data Engineer-Associate (DEA-C01) certification programme covers the full lifecycle of cloud data engineering. You learn to work with Amazon Kinesis for real-time data ingestion and AWS Glue for ETL automation. The course also includes Amazon Redshift for warehousing, Amazon S3 and EMR for large-scale data processing. Training extends to workflow automation using Lambda and Step Functions. You also explore analytics and visualisation with Athena and QuickSight, enabling you to build end-to-end, production-ready data solutions.

By completing Edoxi’s AWS Data Engineer-Associate (DEA-C01) course in Dubai, you gain the expertise to design secure data architectures and optimise cloud pipelines. You also prepare confidently for the certification exam. This AWS Data Engineer-Associate (DEA-C01) training in Dubai empowers professionals and corporate teams to strengthen data-driven decision-making, accelerate cloud transformation, and advance their careers in one of today’s fastest-growing technology domains.

Here are the AWS Data Engineer-Associate Exam details.

Exam Details:

Exam Criteria
Details

Exam Code
DEA-C01

Exam Name
AWS Certified Data Engineer Associate

Duration
130 Minutes

Number of Questions
65, Multiple Choice

Passing Score
720/100

Fees
$150

Certification Validity
3 Years

Recertification
Required Every 3 Years

Exam Administration Authority
Pearson VUE

Read More

## Features of Edoxi's AWS Data Engineer-Associate (DEA-C01) Training

**AWS Lab Environment Access**
You can practice with authentic AWS services through dedicated lab subscriptions, providing hands-on experience with the complete AWS data ecosystem.

**Comprehensive Study Materials**
You get detailed student guides, courseware, and PDF resources covering Glue Crawlers, PySpark/Scala, Redshift Spectrum and other core data engineering tools.

**Interactive Group Exercises**
You can participate in presentations and collaborative problem-solving sessions that simulate real-world data engineering scenarios.

**Practical Hands-On Labs**
You can complete projects across the data pipeline spectrum with documented screenshots to build your portfolio of AWS implementations.

**Industry-Standard Technologies**
You can work with core AWS services, including Kinesis, Glue, Redshift, EMR, and Lambda, that form the backbone of modern data architectures.

**Certification Alignment**
You can prepare for certification success, as the course content directly aligns with the AWS Certified Data Engineer-Associate exam Y(DEA-C01) objectives.

## Who Can Join Our AWS Data Engineer-Associate (DEA-C01) Course in Dubai?

**Data Analysts and Scientists**
If you are a professional working with data who wants to expand your skillset to include cloud-based data pipeline development and management on AWS.

**ETL Developers**
If you are a developer with experience in data transformation processes, looking to transition your skills to AWS cloud-native solutions.

**IT Professionals with SQL Experience**
If you are a technology specialist with a strong foundation in database concepts and SQL who wants to specialise in modern data architecture.

**Machine Learning Practitioners**
If you are an ML specialist seeking to understand the data engineering foundations that support effective machine learning pipelines.

**Cloud Engineers**
If you are a technical professional with cloud experience wanting to specialise in the high-demand field of data engineering.

**Career Transitioners**
If you are a technology professional looking to move into the rapidly growing field of cloud data engineering with AWS expertise.

## AWS Data Engineer-Associate (DEA-C01) Course Modules

### Module 1: Welcome to AWS Academy Data Engineering

**Chapter 1.1: Course Introduction**
- Lesson 1.1.1 Course prerequisites and objectives
- Lesson 1.1.2 Course overview

### Module 2: Data-Driven Organisations

**Chapter 2.1: Understanding Data-Driven Decisions**
- Lesson 2.1.1 Data-driven decisions
- Lesson 2.1.2 The data pipeline – infrastructure for data-driven decisions
- Lesson 2.1.3 The role of the data engineer in data-driven organisations
- Lesson 2.1.4 Modern data strategies

### Module 3: The Elements of Data

**Chapter 3.1: The Five Vs of Data**
- Lesson 3.1.1 Volume and velocity
- Lesson 3.1.2 Variety – data types
- Lesson 3.1.3 Variety – data sources
- Lesson 3.1.4 Veracity and value
- Lesson 3.1.5 Activities to improve veracity and value
- Lesson 3.1.6 Activity: Planning Your Pipeline

### Module 4: Design Principles and Patterns for Data Pipelines

**Chapter 4.1: Designing Modern Data Architectures**
- Lesson 4.1.1 AWS Well-Architected Framework and Lenses
- Lesson 4.1.2 Activity: Using the Well-Architected Framework
- Lesson 4.1.3 The evolution of data architectures
- Lesson 4.1.4 Modern data architecture on AWS
- Lesson 4.1.5 Modern data architecture pipeline: Ingestion and storage
- Lesson 4.1.6 Modern data architecture pipeline: Processing and consumption
- Lesson 4.1.7 Streaming analytics pipeline

### Module 5: Securing and Scaling the Data Pipeline

**Chapter 5.1: Security and Scalability**
- Lesson 5.1.1 Cloud security review
- Lesson 5.1.2 Security of analytics workloads
- Lesson 5.1.3 ML security
- Lesson 5.1.4 Scaling: An overview
- Lesson 5.1.5 Creating a scalable infrastructure
- Lesson 5.1.6 Creating scalable components

### Module 6: Ingesting and Preparing Data

**Chapter 6.1: ETL and Data Preparation**
- Lesson 6.1.1 ETL and ELT comparison
- Lesson 6.1.2 Data wrangling introduction
- Lesson 6.1.3 Data discovery
- Lesson 6.1.4 Data structuring
- Lesson 6.1.5 Data cleaning
- Lesson 6.1.6 Data enriching
- Lesson 6.1.7 Data validation.
- Lesson 6.1.8 Data publishing

### Module 7: Ingesting by Batch or by Stream

**Chapter 7.1: Batch and Stream Ingestion Techniques**
- Lesson 7.1.1 Comparing batch and stream ingestion
- Lesson 7.1.2 Batch ingestion processing
- Lesson 7.1.3 Purpose-built ingestion tools
- Lesson 7.1.4 AWS Glue for batch ingestion processing
- Lesson 7.1.5 Scaling considerations for batch processing
- Lesson 7.1.6 Lab: Performing ETL on a Dataset by Using AWS Glue
- Lesson 7.1.7 Kinesis for stream processing
- Lesson 7.1.8 Scaling considerations for stream processing
- Lesson 7.1.9 Ingesting IoT data by stream

### Module 8: Storing and Organising Data

**Chapter 8.1: Data Storage Solutions**
- Lesson 8.1.1 Storage in the modern data architecture
- Lesson 8.1.2 Data lake storage
- Lesson 8.1.3 Data warehouse storage
- Lesson 8.1.4 Purpose-built databases
- Lesson 8.1.5 Storage in support of the pipeline
- Lesson 8.1.6 Securing storage

### Module 9: Processing Big Data

**Chapter 9.1: Big Data Processing Frameworks**
- Lesson 9.1.1 Big data processing concepts
- Lesson 9.1.2 Apache Hadoop
- Lesson 9.1.3 Apache Spark
- Lesson 9.1.4 Amazon EMR
- Lesson 9.1.5 Managing your Amazon EMR clusters.
- Lesson 9.1.6 Lab: Processing Logs by Using Amazon EMR
- Lesson 9.1.7 Apache Hudi

### Module 10: Processing Data for ML

**Chapter 10.1: Machine Learning Pipelines**
- Lesson 10.1.1 ML concepts
- Lesson 10.1.2 The ML lifecycle
- Lesson 10.1.3 Framing the ML problem to meet the business goal.
- Lesson 10.1.4 Collecting data
- Lesson 10.1.5 Applying labels to training data
- Lesson 10.1.6 Activity: Labelling with SageMaker Ground Truth
- Lesson 10.1.7 Preprocessing data
- Lesson 10.1.8 Feature engineering
- Lesson 10.1.9 Developing a model.
- Lesson 10.1.10 Deploying a model.
- Lesson 10.1.11 ML infrastructure on AWS
- Lesson 10.1.12 SageMaker
- Lesson 10.1.13 Demo: Preparing Data & Training a Model with SageMaker
- Lesson 10.1.14 Demo: Preparing Data & Training a Model with SageMaker Canvas
- Lesson 10.1.15 AI/ML services on AWS

### Module 11: Analyzing and Visualizing Data

**Chapter 11.1: Data Analysis and Visualisation**
- Lesson 11.1.1 Considering factors that influence tool selection
- Lesson 11.1.2 Comparing AWS tools and services
- Lesson 11.1.3 Demo: Analyzing and Visualizing Data with AWS IoT Analytics & QuickSight
- Lesson 11.1.4 Selecting tools for a gaming analytics use case

### Module 12: Automating the Pipeline

**Chapter 12.1: Automation in Data Engineering**
- Lesson 12.1.1 Automating infrastructure deployment
- Lesson 12.1.2 CI/CD
- Lesson 12.1.3 Automating with Step Functions

### Module 13: Bridging to Certification

**Chapter 13.1: AWS Certification Preparation**
- Lesson 13.1.1 AWS Certification overview

## Lab Activities and Practical Sessions in Our AWS Data Engineer-Associate (DEA-C01) Training in Dubai
Edoxi’s 40-hour AWS Data Engineering course includes comprehensive hands-on lab exercises that help you apply real-world data engineering skills. These include:


**Real-Time Data Streaming with Kinesis**
You can create an Amazon Kinesis Data Streams-based system. Through this, you can capture, process, and analyse real-time data from multiple sources for immediate insights.

**Serverless Event Processing**
You can schedule AWS Lambda functions using EventBridge. This helps you implement automated, serverless data processing workflows that operate on predefined schedules.

**Data Security and Compliance**
You can discover sensitive information using Amazon Macie. You can also implement data protection for S3 and EBS volumes using AWS KMS encryption services.

**ETL Pipeline Development**
You can conduct data extraction, transformation, and loading tasks in AWS Glue, utilising Amazon S3 as a source and destination for processed datasets.

**Data Warehouse Implementation**
You can build an Amazon Redshift data warehouse with an appropriate schema design. This includes security implementation for database credentials and monitoring.

**Distributed Data Processing**
You can set up an Amazon EMR cluster and launch Spark jobs. This helps to process large-scale datasets using distributed computing frameworks for efficient analysis.

## Career Opportunities After AWS Data Engineer-Associate (DEA-C01) Certification in Dubai
Cloud Data Engineer, AWS Data Engineer, ETL Developer (AWS), Data Analyst with AWS Expertise, AWS Data Pipeline Specialist, Data Platform Engineer, Big Data Engineer (AWS), Analytics Engineer, BI Developer (AWS), Data Integration Engineer

## Companies Hiring AWS Certified Data Engineer Associate Professionals in Dubai
CISCO, Talabat, ValueLabs, EATON, First Point Group, Emirates, Elcome International LLC, Foodics, GSSTech Group, BlackStone eIT

## AWS Data Engineer-Associate (DEA-C01) Training Option

**Classroom Training**
- 40 Hours of Classroom Training
- Industry-Standard AWS Lab Access
- Small Groups for Personalised Instruction
- Hands-On Projects with Expert Guidance
- Collaborative Learning with Peers
- Exam Preparation Support

**Live Online Training**
- 40 Hours of Live Online Training
- Access AWS Cloud Lab Environment Remotely
- Real-Time Instructor Interaction
- Flexible Scheduling for Professionals
- Virtual Classroom with Interactive Elements

**Corporate Training**
- 5 Days of Corporate Training
- Customised Training for Team Requirements
- Flexible Delivery Options (On-Site / Edoxi Office / Hotel)
- Fly-Me-a-Trainer Option
- Food and refreshments provided for corporate teams

## How To Get Certified in The AWS Data Engineer-Associate (DEA-C01) Course in Dubai?
Here’s a four-step guide to becoming a certified AWS Data Engineer-Associate (DEA-C01) professional.

1. Join Edoxi’s AWS Data Engineer-Associate training in Dubai.
2. Learn from experienced trainers through interactive sessions.
3. Complete all course modules and practical project activities.
4. Earn Edoxi’s AWS Data Engineer-Associate Course Completion Certificate.

## Why Choose Edoxi for AWS Data Engineer-Associate (DEA-C01) Course in Dubai?
Edoxi’s 40-hour AWS Data Engineering-Associate corporate training equips you with practical AWS expertise, industry-aligned skills, and real-world cloud engineering insights. Here are the major reasons to choose Edoxi:


**AWS Practical, Applicable Learning**
You receive training aligned with official AWS best practices, combined with real-world industry scenarios. This ensures you build skills that can be immediately applied in your workplace.

**Training by Industry-Expert AWS Professionals**
You learn directly from AWS-certified trainers who bring extensive hands-on experience in data engineering implementations. Their practical insights help you understand how AWS works in real enterprise environments.

**Support to Confidently Clear Your Certification**
With structured guidance, hands-on labs, and focused exam preparation, you gain the confidence and competence needed to successfully pass the AWS certification exam.

**Trusted Provider for Enterprise Cloud Training**
You benefit from Edoxi’s strong track record of delivering AWS and Azure training to government organisations, private firms, and major enterprises across Africa and the Middle East.

**Clear AWS Learning Path for Your Career Growth**
Edoxi’s AWS Data Engineer-Associate course helps you progress smoothly into other AWS specialisations, giving you a structured and continuous cloud learning pathway for long-term career development.

**Access to a Global Training Network**
You join a learning community supported by Edoxi’s strong presence across GCC nations, including the UAE, Saudi Arabia, Qatar, and Oman, with successful training delivered even across European regions.

## Frequently Asked Questions

**Q: What is DEA-C01?**
A: DEA-C01 refers to the AWS Certified Data Engineer – Associate exam. It’s designed for professionals like you who design, build, manage, and secure data pipelines on AWS.

**Q: Is DEA-C01 harder than SAA-C03?**
A: Yes, moderately harder. DEA-C01 dives deeper into data workflows and pipeline design, whereas SAA-C03 focuses on broader cloud architecture concepts.

**Q: What comes next after DEA-C01?**
A: Once you complete DEA-C01, you can advance into specialised certifications such as:

- DAS-C01 – Data Analytics – Speciality

- MLS-C01 – Machine Learning – Speciality

- SAP-C02 – Solutions Architect – Professional for broader cloud architecture mastery

**Q: Is DEA-C01 a replacement for DAS-C01?**
A: No. They complement each other. DEA-C01 helps you master data engineering pipelines, while DAS-C01 strengthens your skills in analytics, reporting, and business intelligence.

**Q: How does Edoxi prepare you for the AWS Certified Data Engineer Associate (DEA-C01) exam?**
A: Edoxi’s AWS Data Engineer-Associate (DEA-C01) Course aligns directly with the official exam blueprint. Through hands-on labs, guided practice, and real AWS scenarios, you gain both the theoretical clarity and practical expertise needed to confidently clear the certification.

**Q: What is the difference between a Data Engineer and a Data Scientist?**
A: As a Data Engineer, you build and maintain the data pipelines, storage systems, and infrastructure that enable data processing at scale. A Data Scientist focuses on analytics, statistics, and machine learning models. In simple terms, you create the environment; they extract insights from it.

**Q: How long does it take to complete the AWS Data Engineer-Associate (DEA-C01) Course?**
A: The course includes 40 hours of training, usually delivered over 5 days for corporate teams. If you're an individual learner, Edoxi provides flexible schedules, including evening and weekend batches, so you can balance learning with work.

**Q: Do you get hands-on experience with real AWS services?**
A: Yes. You receive access to an AWS Lab subscription, giving you the chance to work directly with Amazon Kinesis, AWS Glue, Amazon Redshift, and other key data engineering tools as you build actual pipelines and solutions.

**Q: Can Edoxi offer customised corporate training for your team?**
A: Absolutely. Edoxi designs custom corporate training programs tailored to your organisation’s goals, existing AWS environment, and industry use cases. Training is available both in-person and virtually.

**Q: Which AWS services do you work with during the AWS Data Engineer-Associate (DEA-C01) Course?**
A: You get hands-on practice with a wide range of data services, including:

- Amazon S3

- AWS Glue

- Amazon Redshift

- Amazon Kinesis

- Amazon EMR

- AWS Lambda

- Amazon Athena

- Amazon QuickSight

And several others are essential for building modern AWS data pipelines.

**Q: What are the prerequisites for enrolling in the AWS Data Engineer-Associate Certification?**
A: The mandatory prerequisites for enrolling in the AWS Data Engineer-Associate Certification course are:

- Strong foundation in core IT concepts and technologies

- Hands-on experience with Structured Query Language (SQL)

- Practical experience working with relational databases

- Basic understanding of general networking concepts

**Q: What salary can you expect in Dubai after completing the AWS Data Engineer-Associate (DEA-C01) Course in Dubai?**
A: As a data engineer in Dubai, you can expect an average salary ranging from AED 14,000 to AED 30,000 per month, depending on your experience, skills, and the company you join. Earning a recognised certification like the AWS Data Engineer-Associate enhances your chances of reaching the higher end of this range.

## AWS Data Engineer-Associate (DEA-C01) Course Outcomes and Career Opportunities in Dubai?
Edoxi’s 40-hour AWS Data Engineering-Associate certification course equips you with essential, industry-ready skills for a successful career in cloud and data engineering. The major outcomes after completing our course are:

- Build a strong foundation in AWS data engineering by understanding core services, modern data architectures, and scalable data processing workflows.
- Gain deep AWS expertise beyond analytics, mastering tools for data ingestion, transformation, storage, and orchestration across the AWS ecosystem.
- Enhance your career credibility with role-ready skills that align with industry expectations for AWS Data Engineer-Associate (DEA-C01) professionals.
- Get strong job opportunities with leading data-driven enterprises looking for certified cloud and data engineering specialists.
- Develop the ability to implement secure, compliant, and cost-efficient data pipelines that meet enterprise-level requirements and industry best practices.
- Gain practical experience in preparing data for analytics and machine learning.

## Trainer
- Name: Manish Rajpal
- Designation: Corporate Trainer
Manish is a passionate Corporate Trainer, AI Consultant, and Cloud Solutions Architect. He empowers clients across the globe to build and maintain highly available, resilient, scalable, and secure solutions, now with a growing emphasis on AI-powered architectures. With over 15,000 professionals trained, Manish specialises in technologies including Amazon Web Services, Microsoft Azure, Microsoft Copilot and GitHub Copilot and increasingly, AI and Machine Learning.

Manish has led research and workshops focused on integrating AI into cloud environments, exploring use cases like intelligent automation, natural language processing, and responsible AI practices.

## Enrol in This Course
- Course URL: https://www.edoxi.com/dubai/aws-data-engineer-associate-course
- Phone: +971 43801666
- Email: info@edoxi.com