AWS Certified Data Engineer – Associate
AWS's data engineering certification validates expertise in designing and implementing data pipelines on AWS. Covers data ingestion, transformation, and storage services.
Provider
Amazon Web Services
Level
Associate
Duration
2–3 months
Cost
$150
Passing Score
72%
Validity
3 years
Salary Impact
+$15,000–$22,000 avg
Prerequisites
AWS fundamentals
SQL proficiency
Python or Scala experience
Exam Format
65 multiple-choice questions, 180 minutes, $150 USD
Exam Topics & Weights
Data ingestion and transformation
30%
Data storage and management
26%
Data processing
23%
Monitoring, maintaining, and troubleshooting
21%
8-Week Study Plan
Weeks 1-2
Focus: AWS services for data engineering: S3, DMS, Kinesis
AWS Data Engineer Associate exam guide
A Cloud Guru data engineering course
AWS DMS and S3 documentation
Weeks 3-4
Focus: Data transformation: Glue, EMR, Lambda
AWS Glue ETL tutorial
Spark on EMR
Serverless data processing with Lambda
Week 5
Focus: Data warehousing and analytics: Redshift, Athena
Redshift cluster management
Athena SQL queries
Data warehouse design patterns
Week 6
Focus: Real-time data: Kinesis, Kafka, DynamoDB
Kinesis streams and Firehose
DynamoDB design patterns
Real-time processing workflows
Week 7
Focus: Data quality, security, and cost optimization
AWS Glue Data Catalog
Data lake security patterns
Cost optimization for data pipelines
Exam Tips & Strategies
Data ingestion and transformation are 30% of the exam—understand Glue, EMR, and Lambda deeply
Know the trade-offs between different storage services: S3 vs. EBS vs. DynamoDB vs. RDS
Understand Apache Spark concepts—you may encounter Spark code in questions
Get hands-on with AWS services using free tier. The more you practice, the better.
Study cost optimization patterns—AWS values cost-conscious engineers
Real-time data pipelines are increasingly common. Understand Kinesis and event-driven architectures
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