AWS Glue Data Catalog & Crawlers
Set up Glue crawlers, build Data Catalogs, and organize metadata for efficient data discovery.
The DEA-C01 certification validates your ability to implement data pipelines, transform and orchestrate data, and manage data quality on AWS. Offered by AEM Institute, this is the best AWS Data Engineer training for professionals aiming to master AWS Glue and ETL training, Amazon Athena and Redshift architecture, and AWS data pipeline automation. The highlight is a 30-hour live project where you build an end-to-end scalable data pipeline using S3, Glue, Athena, and Redshift.
Flexible Learning Modes: Attend our Physical Classroom Training at Baby Villa, 82 Kankulia Road, Ballygunge, Kolkata 700 029, or join the Live Online Instructor-Led Training (ILT) from anywhere. Both formats deliver identical perks: live interaction with certified AWS data experts, hands-on enterprise-scale data architecture labs, and dedicated data role placement support.
The curriculum is strictly aligned with the official AWS DEA-C01 exam guide.
Understand why the AWS Data Engineer Associate is the next step for professionals specializing in data pipelines and analytics on the cloud
30-hour intensive program covering Glue ETL, Athena, Redshift, S3 data lakes, and a live data pipeline project
Set up Glue crawlers, build Data Catalogs, and organize metadata for efficient data discovery.
Design visual ETL workflows and write PySpark scripts for complex data transformations.
Automate multi-step data workflows and integrate serverless functions for robust pipeline orchestration.
Need foundational AWS skills? Start with our AWS Solutions Architect Associate (SAA-C03) course or explore our full course catalog.
This AWS data engineer associate course is ideal for cloud and data professionals ready to master data pipelines on AWS
Ready to specialize in data engineering and earn the associate-level DEA-C01 certification.
Professionals moving from reporting or DBA roles into cloud-scale data engineering and pipeline development.
Individuals with AWS fundamentals who want to deepen their data engineering expertise with Glue, Athena, and Redshift.
Professionals experienced with Hadoop or Spark migrating to cloud-native AWS data services.
Prerequisite: AWS Solutions Architect Associate (SAA-C03) or equivalent AWS cloud and SQL knowledge.
We deliver a complete learning experience with a live project and dedicated placement support to land AWS associate data roles
Learn from instructors holding the AWS Certified Data Engineer – Associate and AWS Certified Solutions Architect – Professional credentials with 15+ years of enterprise data experience. Available for both classroom and online batches.
The course's centerpiece is a 30-hour live project where you design, implement, and monitor a real-world ETL pipeline using Glue, S3, Athena, and Redshift — creating a portfolio piece that demonstrates your DEA-C01 readiness.
Practice with DEA-C01 style scenario questions that test your ability to choose the right data storage, orchestration, and security solutions for enterprise data workloads.
Dedicated placement for AWS Data Engineer, ETL Developer, and Cloud Data Architect roles, including resume rewriting highlighting your live project and technical mock interviews.
Get your queries resolved anytime via our dedicated support channels.
Our training aligns with the latest DEA-C01 exam, ensuring you earn a credential respected worldwide.
Everything you need to know about the AWS DEA-C01 certification cost and structure
How the DEA-C01 certification and live project experience boost your earning potential and unlock cloud data engineering jobs
AWS data engineer salary for entry-level certified professionals.
Mid-level engineers designing AWS data pipelines and managing production lakes command premium salaries.
Unlock high-paying cloud data engineering jobs in Kolkata and remote roles with global tech companies.
Learn more about AWS data certifications on the official AWS Certification website. For student success stories, visit our data engineering blog.
Clear, conversational answers to help you make the best decision
The AWS Certified Data Engineer – Associate DEA-C01 training at AEM Institute is a 30-hour intensive program that includes a live project where you build a scalable data pipeline on AWS. You can join our weekend batches at the Ballygunge classroom or attend live online sessions — both follow the same schedule and include the full live project experience.
The all-inclusive AWS data engineer course fee at AEM Institute is INR 26,950. This covers AWS Glue and ETL training, Amazon Athena and Redshift architecture labs, the live pipeline project, and placement support. EMI options are available to make the fee easy to manage.
An AWS data engineer salary typically starts at ₹7 LPA to ₹15 LPA for professionals with 1-3 years of experience. With 3-5 years, salaries rise to ₹15 LPA to ₹28 LPA, and lead/architect roles at MNCs can reach ₹28 LPA to ₹50 LPA.
Absolutely. Our AWS DEA-C01 course online is delivered via Live Instructor-Led sessions specifically designed for working professionals. You attend live weekend classes, interact with experts in real time, and build the live project remotely. Recordings of every session are provided.
You should hold the AWS Solutions Architect Associate (SAA-C03) certification or have equivalent cloud architecture and SQL knowledge. A basic understanding of data pipelines is a plus.
Yes. We offer dedicated placement support for AWS associate data roles. This includes resume rewriting highlighting your live project, technical mock interviews on Glue and Redshift, LinkedIn optimization, and direct referrals for cloud data engineering jobs in Kolkata and across India.
The curriculum covers AWS Glue and ETL training, Amazon Athena and Redshift architecture, data lakes on S3, pipeline orchestration with Step Functions, data quality, and the 30-hour live project — everything needed to pass the associate-level exam and succeed as an AWS data engineer.
Choose between our Physical Classroom batch in Ballygunge or the Live Online batch. Build your live scalable data pipeline project now — limited seats available.
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