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AWS Data Engineering Program: Glue and Migration

The AWS Data Engineering Program equips data engineers and analytics professionals with hands-on skills to design, build, and manage scalable data pipelines on AWS, solving the critical industry challenge of inefficient data workflows. With demand for cloud data roles growing rapidly—over 1 million AWS-related job postings in 2023 alone—this course delivers practical training in ingestion, transformation, storage, and visualization using services like Amazon S3, EMR, and Redshift.

This program prepares learners for the AWS Certified Data Engineer – Associate (DEA-C01) certification, featuring official AWS Skill Builder content and 30-day lab access for real-world practice. Graduates gain a competitive edge, unlocking career advancement in high-impact roles such as data pipeline architect or cloud data engineer with average salaries exceeding $120,000.

40 Hours (5 Days)
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13+ professionals trained

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Course Overview

The AWS Data Engineering Program by AWS is designed to equip professionals with the skills needed to build and manage data pipelines on the AWS Cloud, specifically preparing candidates for the AWS Certified Data Engineer - Associate (DEA-C01) exam. This course serves aspiring data engineers, data architects, and cloud data analysts who aim to validate their expertise in core data engineering tasks such as data ingestion, transformation, pipeline orchestration, and data governance. With data engineering job listings growing by 45% from 2021 to 2023 and projected to rise another 28% over the next decade according to Draup, this program addresses a high-demand, talent-constrained field where certified professionals stand out.

Participants engage with key AWS services including Amazon S3, AWS Glue, Amazon Redshift, Amazon Kinesis, AWS Lambda, and Amazon Athena through hands-on labs delivered via the AWS Console in guided Builder Labs and immersive Skill Builder environments. Students gain practical experience by building an end-to-end data analytics pipeline to process real-time clickstream data, applying ETL principles, automating workflows, and visualizing insights using AWS-native tools. These labs simulate real-world scenarios such as designing scalable data lakes, optimizing query performance, and ensuring data quality—tasks directly aligned with the responsibilities of working data engineers on AWS infrastructure.

This program prepares learners for the AWS Certified Data Engineer - Associate certification, a globally recognized credential that validates ability in data pipeline implementation, monitoring, and optimization. Certified professionals report salary premiums of $5,000 to $15,000, particularly when transitioning into data roles or entering competitive enterprise environments. Koenig Solutions enhances this training with Guaranteed-to-Run scheduling, official AWS courseware, and access to expert-led sessions that reinforce exam readiness. Graduates emerge ready to design secure, efficient, and scalable data solutions on AWS, positioning them for advancement in high-growth areas like AI/ML data preparation, cloud analytics, and enterprise data architecture.

What You'll Learn

Ingest data efficiently using AWS Kinesis and AWS AppFlow within the AWS Data Engineering Program
Transform data seamlessly with AWS Glue and Managed Apache Flink as part of the AWS Data Engineering Program
Design scalable data stores using Amazon Redshift and DynamoDB through the AWS Data Engineering Program
Orchestrate complex data pipelines with Amazon MWAA and Step Functions in the AWS Data Engineering Program
Monitor and optimize AWS data workflows with CloudWatch and Config in the AWS Data Engineering Program
Secure sensitive data with AWS IAM, KMS, and Macie during the AWS Data Engineering Program

Prerequisites

Recommended knowledge before taking this course
  • Target learner profile: Data professionals seeking to master scalable data pipeline architecture and cloud-native analytics within the AWS Data Engineering Program.
  • Foundational knowledge of VPC, S3, and EC2 is essential for the AWS Data Engineering Program.
  • Recommended foundational knowledge includes AWS Certified Cloud Practitioner or AWS Certified Data Engineer – Associate certification.
  • Mandatory proficiency in Python or Scala for AWS Glue and EMR development.
  • Practical experience with AWS cloud services (1–2 years recommended) enhances learning outcomes.
  • Familiarity with designing and managing extract, transform, and load (ETL) pipelines on AWS.
  • Proficiency in writing and executing SQL queries on Amazon Redshift or Athena improves data manipulation skills.
  • Knowledge of Git commands for source control supports collaboration in AWS data projects.
  • Understanding of data lake architecture and its application on AWS enables efficient data storage and retrieval.
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Certification Exam

Everything you need to know about the AWS Data Engineering Program: Glue and Migration certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
14 days after a failed attempt
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– AWS Data Engineering Program: Ingestion
Stream real-time data ingestion Execute batch data ingestion Optimize batch ingestion settings Configure automated ingestion triggers Integrate external data APIs Orchestrate pipelines using EventBridge Trigger Lambda via Kinesis streams Manage ingestion rate throttling
2
Day 2– AWS Data Engineering Program: Processing
Transform data using AWS Glue Process workloads with Amazon EMR Execute serverless Lambda processing Convert CSV to Parquet formats Integrate diverse data sources Optimize EKS and ECS containers Resolve complex transformation errors Apply Python and SQL logic
3
Day 3– AWS Data Engineering Program: Storage
Select high-performance data stores Model data for Amazon Redshift Build S3-based data lakes Catalog schemas via AWS Glue Automate data lifecycle management Migrate databases using AWS DMS Architect Redshift data warehouses Query datasets with Amazon Athena
4
Day 4– AWS Data Engineering Program: Operations
Monitor pipelines via CloudWatch Debug S3 storage performance issues Analyze Hadoop big data workloads Verify data quality and consistency Operationalize production ETL pipelines Scale data workloads using automation Validate data using profiling tools Optimize end-to-end pipeline speed
5
Day 5– AWS Data Engineering Program: Governance
Encrypt data with AWS KMS Secure lakes with Lake Formation Enable auditing with CloudTrail Manage IAM data access roles Enforce privacy via Amazon Macie Govern resources with AWS Config Deploy IaC using AWS CloudFormation Implement CI/CD pipeline workflows

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

73%

of AWS Data Engineering Program: Glue and Migration certified professionals report career advancement within 6 months

Salary Impact

+27%

Average salary increase reported after obtaining the AWS Data Engineering Program: Glue and Migration certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Engineer
  • AWS Data Engineer
  • Senior Data Engineer
  • Cloud Data Engineer
  • Data Pipeline Engineer
  • Data Architect

Companies Hiring

5,000+
Amazon Netflix Airbnb Accenture Deloitte Capgemini JPMorgan Chase Capital One Expedia Slack

and 5,000+ organizations worldwide seeking AWS Data Engineering Program: Glue and Migration certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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    Business Intelligence Lead

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    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

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    SC-300 Certified ✓ Verified
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    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the AWS Data Engineering Program: Glue and Migration training course

Is the AWS Certified Data Engineer - Associate exam fee included in the AWS Data Engineering Program cost?
The AWS Certified Data Engineer - Associate exam is not included in the AWS Data Engineering Program fee. It costs $150 USD separately. Taxes may apply based on your region. Retakes require full payment after a mandatory 14-day waiting period, as there are no free resits.
What training formats are available for the AWS Data Engineering Program, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig provides live online 1-on-1, public instructor-led, and classroom formats for the AWS Data Engineering Program. All sessions feature Guaranteed-to-Run (GTR) scheduling, ensuring your training proceeds as planned regardless of enrollment. We also offer private sessions and global destination training for maximum flexibility.
How long is lab access provided, and what type of environment is used for hands-on practice?
You receive 30 days of post-training access to a live AWS sandbox environment. This cloud-based platform provides real AWS account access for secure, hands-on practice. You will work directly with services like Amazon S3, Kinesis, and Glue to reinforce skills from the AWS Data Engineering Program.
What is the rescheduling and cancellation policy for the AWS Data Engineering Program at Koenig Solutions?
Koenig allows free rescheduling of the AWS Data Engineering Program with at least 7 days' notice before the start date. Cancellations within 7 days may incur fees. Our 100% happiness guarantee ensures you can adjust your training plans with confidence and minimal financial risk.
What is the format, question count, passing score, and time limit for the AWS Certified Data Engineer - Associate exam?
The AWS Certified Data Engineer - Associate (DEA-C01) exam consists of 65 questions, including 50 scored and 15 unscored items. You have 130 minutes to complete the test. A minimum passing score of 720 (on a 100–1,000 scale) is required to validate your data pipeline expertise.
How long is the AWS Certified Data Engineer - Associate certification valid, and what is the renewal process?
The AWS Certified Data Engineer - Associate certification remains valid for 3 years. To renew, pass the latest DEA-C01 exam version for $150 USD, or apply a 50% discount voucher from an active AWS certification. Alternatively, maintain your status through an AWS Skill Builder subscription before expiration.
What post-training support does Koenig provide after completing the AWS Data Engineering Program?
Koenig offers 30 days of support following the AWS Data Engineering Program. This includes 6 hours of free trainer consultation, session recordings, official courseware, 200+ practice questions, and 30-day lab access. You also receive a certificate of completion to verify your new technical skills.
What prerequisites or prior experience are recommended for enrolling in the AWS Data Engineering Program?
We recommend 1–2 years of AWS experience and 2–3+ years in data engineering. You should have intermediate knowledge of ETL pipelines, Git, networking, storage, and compute concepts. Familiarity with core AWS services and basic scripting will help you maximize your success in the AWS Data Engineering Program.
What is the average salary increase or career impact after earning the AWS Certified Data Engineer - Associate certification?
Certified professionals often report salaries between $120,000 and $150,000 annually in the U.S. Earning the AWS Certified Data Engineer - Associate credential typically leads to a 15–25% salary increase. This certification validates your ability to build robust data pipelines and automation in high-demand cloud roles.
How does instructor-led training for the AWS Data Engineering Program compare to self-study for certification success?
Instructor-led training for the AWS Data Engineering Program significantly boosts success rates through structured learning and real-time doubt resolution. Koenig’s expert-led approach, combined with official AWS content and hands-on labs, provides a distinct advantage over self-study by ensuring deep technical mastery and effective exam strategies.
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