AWS Data Engineering Training
- Master AWS tools like S3, Redshift, and Glue.
- Build and automate data pipelines.
- Work on real-time cloud projects.
- Learn ETL and data integration.
- Optimize data storage and performance.
- Get ready for top data engineering roles.
Course Highlights / Key Features
- Certified trainers with 8+ years in cloud & data engineering
- 60+ hours of live instruction + lab sessions
- Real-time projects reflecting production workloads
- Resume prep & interview coaching
- 100% placement assistance
- Lifetime access to recorded sessions & class notes
Why Choose Our AWS Data Engineering Course?
- Hands-on, project-based learning to simulate real-world scenarios
- Small batches — ensure individual attention
- Flexible schedules (weekdays/weekends)
- Use real AWS accounts and services, not just simulations
- Post-training support until you land your job
- Lifetime access to recorded sessions & class notes
Who Should Join This Training?
- Aspiring data engineers and cloud engineers
- Developers or data professionals wanting to specialize in AWS
- ETL / BI professionals moving to big data pipelines
- Analytics engineers, backend engineers looking to scale into data
- Freshers or professionals looking to switch to data/cloud roles
Job Opportunities After AWS Data Engineering Training
Once you complete the AWS Data Engineering course, you can explore roles like:
- AWS Data Engineer
- Cloud Data Engineer
- Big Data Engineer
- Data Pipeline Engineer
- ETL Developer
- Analytics Engineer
- Database Administrator
- Cloud Solutions Architect
Tools & Technologies You’ll Master
- AWS services: S3, Glue, Kinesis, Lambda, Redshift, Athena, IAM, Lake Formation
- Data formats: Parquet, ORC, JSON, Avro
- Frameworks: Apache Spark, EMR, streaming tools
- Orchestration & workflows: Step Functions, Airflow, Glue workflows
- Monitoring & security: CloudWatch, CloudTrail, IAM, VPC setup
- (Optional) SageMaker integration for ML workflows
Placement Support & Job Assistance
After training:
- We help you with resume building tailored to data/cloud roles
- Conduct mock interviews & role-playing
- Connect you to partner companies and hiring teams
- Provide post-course support until you get placed
- Analytics Engineer
FAQ'S
How can I practice?
You’ll get hands-on labs, assignments, and real-time projects to practice what you learn.
What if I miss one or more classes?
Don’t worry! You can attend backup sessions or access recorded videos of missed classes.
What are the modes of training offered for this course?
We offer Classroom Training, Online Training, and Corporate Training options.
What prerequisites are required for the AWS DevOps course?
Basic knowledge of Linux, AWS, and any programming language is helpful but not mandatory.
Are there real-world projects included in the course?
Yes, you’ll work on real-world projects and case studies for practical experience.
Is certification included in the course?
Yes, you’ll receive a course completion certificate and guidance for official AWS certifications.
How is the course delivered – online or in-person?
The course is available in both online live and in-person classroom formats.
What kind of post-training support is available?
We provide placement assistance, resume building, and interview preparation after training.
Can I switch to another course after enrollment?
Yes, you can switch to another course with prior approval from our support team.