AWS Data Engineer with Data Analytics

The AWS Data Engineering Training course is designed to equip learners with the essential skills and knowledge required to build, manage, and scale data pipelines, data lakes, and analytical solutions on the Amazon Web Services (AWS) platform. This course is ideal for individuals who are aiming to become proficient in leveraging AWS for various data engineering tasks such as data ingestion, storage, processing, analytics, and security.

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Upcoming Batches

Date:

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Time

08:00 PM to 10:00 PM

Program Duration:

90 Days

Learning Format:

Training

Course Curriculum

India’s #1 Software Training Institute

Master in AWS Data Engineer with Data Analytics

- Practical expertise through hands-on projects simulating real-world scenarios.
- Leverage an intuitive LMS with updated AWS technologies.
- Benefit mentorship from industry professionals guiding every step of the way.
- Receive career support, including job placement assistance, resume building, and interview coaching.

KEY HIGHLIGHTS

Collaborative and engaging learning environment.

A blended curriculum of foundational knowledge with advanced real-world applications.

Hands-on projects using the latest AWS tools to solve data engineering challenges.

Real-world case studies to help you design efficient scalable data solutions.

Comprehensive Training

100% Positive Reviews
Mock Interviews
Learn from the Practitioner
Professional Certification
Education Loan
Experience Industry Faculty
6 Months Videos access
Resume Preparation
Interview Questions
Dedicated Placement Team

AWS Data Engineer with Data Analytics

Skills Covered

Offered Programs

Exclusive Training

Any Graduate
1-2 Hours Training
60 Days
Real Time Faculty
Mock Interviews
Resume Preparation
Training Completion Certificate
6 Months Videos Access
Online and Offline Training
Placement Assistance
Project Oriented
Course Fee: 30,000

JOB ORIENTED INTENSIVE PROGRAM (JOIP)

Any Graduate
6-8 Hours Training
60 Days
Soft Skills Training
Aptitude Training
Real Time Faculty
Use Cases & Project Oriented
Continuous Sprints Support
Career Guidance Session with trainer
6 Months Videos Access
Topic Wise Assignments
Topic Wise and Daily Notes
Mock Interviews
Resume Preparation
Online and Offline Training
Training Completion Certificate
Interviews Monitoring
Course Fee 80,000

Pre Requisites

The AWS Cloud Data Engineer Training at Quality Thought is perfect for anyone aiming to break into or advance within the field of cloud data engineering. A background in databases or cloud computing is not mandatory but can be beneficial.

Eligibility

Who can attempt this course?

Course Curriculum

1: Fundamentals of Cloud Computing & AWS

Introduction to Cloud Technologies
Overview of Cloud Providers
AWS Storage, Networking & Compute Basics
Cloud Security, Compliance & Governance
Identity & Access Management (IAM)
Cloud Automation & Infrastructure as Code (IaC)

2: Data Engineering Concepts & Best Practices

Core Principles of Data Engineering
ETL vs. ELT – Key Differences
Batch vs. Streaming Data Pipelines
Data Warehousing vs. Data Lakes
Cloud-Native Data Engineering Overview

3: Database Management & Data Modeling

Introduction to SQL & NoSQL Databases
Data Modeling for Structured & Unstructured Data
Performance Optimization for SQL Queries
Working with AWS Database Services (RDS, Aurora, DynamoDB)
Data Indexing, Partitioning & Query Optimization

4: Working with Amazon S3 & Cloud Storage

Object Storage & Lifecycle Policies
Data Lake Architecture in AWS
Data Security, Access Control & Encryption
Integrating S3 with AWS Analytics & Processing Services

5: Building Data Pipelines with AWS Glue

AWS Glue for ETL Automation
Data Cataloging & Schema Evolution
Data Transformation & Integration with AWS Services
Orchestrating Workflows with AWS Glue Workflows & Step Functions

6: Real-Time Data Ingestion with Amazon Kinesis

Streaming Data Overview & Use Cases
Data Collection with Kinesis Data Streams & Firehose
Managing Latency & Throughput in Streaming Pipelines
Integration with AWS Lambda & Event-Driven Processing

7: Distributed Computing with AWS EMR

Introduction to Hadoop, Spark & Presto on AWS
Setting Up & Managing AWS EMR Clusters
Running Big Data Workloads Using Spark
Performance Tuning & Cost Optimization for EMR

8: Data Warehousing & Analytics with Redshift & Athena

Introduction to Amazon Redshift
Querying Data in Redshift & Athena
Optimizing Performance with Distribution & Sorting Keys
Cost-Efficient Query Execution Strategies

9: Data Processing & Transformation on AWS

Apache Spark & Presto for Data Processing
Data Transformation Techniques in AWS
Serverless Query Processing with Athena
Workflow Automation Using AWS Step Functions

10: Event-Driven Data Pipelines with Kafka & MSK

Introduction to Managed Streaming for Apache Kafka (MSK)
Event-Driven Architectures for Data Processing
Integrating Kafka with AWS Analytics Services
Monitoring & Managing High-Throughput Streaming

11: Operationalizing Machine Learning with SageMaker

Introduction to AWS SageMaker for AI/ML
Model Training, Deployment & MLOps Best Practices
Batch & Real-Time Inference Using AWS AI Services
Automating ML Pipelines Using AWS Step Functions

12: CI/CD & DevOps for Data Engineering

Continuous Integration & Deployment for Data Pipelines
Automating AWS Glue, Redshift & EMR Workloads
Workflow Orchestration with Apache Airflow
Infrastructure as Code (Terraform & AWS CloudFormation)

13: Data Analytics & Visualization with Amazon QuickSight

Introduction to Business Intelligence & Data Visualization
Connecting QuickSight to AWS Data Sources
Building Interactive Dashboards
Security & Performance Optimization for Data Reporting

14: Python for Cloud & Data Engineering

Working with AWS SDK (Boto3) for Automation
Scripting AWS Data Pipelines Using Python
Managing Databases & Compute Resources Programmatically
Logging, Monitoring & Debugging AWS Workloads

15: Security & Compliance for Cloud Data Pipelines

Identity & Access Management (IAM) Best Practices
Securing AWS Storage & Databases
Data Encryption & Key Management (KMS)
Threat Detection & Security Monitoring with AWS Tools

16: Monitoring & Observability in AWS

Setting Up Monitoring with AWS CloudWatch
Logging & Debugging AWS Glue & EMR Jobs
Performance Tuning for Streaming Data Pipelines
Automating Alerts & Incident Response

17: AWS Cloud Data Engineering Capstone Project

Introduction to Google BigTable

Integration between Pyspark and Bigtable

Recently Placed Students

In the Last 7 Months more than 80 Members placed

GCP Google Data Engineer Training Certificate

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Why Choose Quality Thought

100% Success Rates in the Placement for Skilled People

Flexible online and offline learning.
A proportional curriculum combining theory and practice.
Instructors with real-world cloud engineering experience.
Career counseling (resume writing, interview prep, and placement support) during job search.
A record of helping students land high-demand roles in cloud data engineering.

A gate way to your🤔 Bright Future in the IT industry

Connect with us for Life-changing opportunities

Testimonials

The AWS Data Engineer Training at Quality Thought was a game changer for me. I learned the practical skills needed to build scalable data pipelines, and the career support helped me secure a job in just a few months

– Aisha

I was new to cloud computing, but this AWS Data Engineer Training at Quality Thought made it easy to grasp complex concepts. The mentors were fantastic, and the hands-on projects gave me confidence in my abilities

– Mohsin

The real-world case studies and expert guidance in the AWS Data Engineer Training were invaluable. I now feel fully prepared to handle cloud-based data challenges in my role.

– Sachin

This AWS Data Engineer Training of Quality Thought helped me pivot my career into cloud data engineering. The tools, projects, and career support exceeded my expectations!

– Kirat

Certification

Key Facts Of Quality Thought

Frequently asked questions

What is AWS Data Engineer Training?

This AWS Data Engineer training covers cloud architecture, data pipelines, storage solutions, and machine learning, providing theoretical and hands-on experience.

How will this benefit my career?

You’ll receive industry-recognized certification and hands-on experience with AWS’s advanced tools, opening doors to high-demand roles in cloud data engineering.

Does the training include real-world projects?

Yes! The course includes industry-relevant practical projects and case studies to prepare you against real-world challenges in the field.

How can I enroll in the AWS Data Engineer Training?

You can contact us directly for details on enrollment and start dates or visit our website.

Will I receive certification after the course?

Yes! You will receive an industry-aligned AWS Data Engineer certification upon successful completion.

AWS Data Engineer with Data Analytics

Register For Free Demo

Upcoming Batches

Program Duration:

Master in AWS Data Engineer with Data Analytics

KEY HIGHLIGHTS

Collaborative and engaging learning environment.

A blended curriculum of foundational knowledge with advanced real-world applications.

Hands-on projects using the latest AWS tools to solve data engineering challenges.

Real-world case studies to help you design efficient scalable data solutions.

Comprehensive Training

AWS Data Engineer with Data Analytics

Skills Covered

Offered Programs

Exclusive Training

JOB ORIENTED INTENSIVE PROGRAM (JOIP)​

Pre Requisites

Eligibility

Who can attempt this course?

Course Curriculum

Recently Placed Students

Our Students Are Placed In

Why Choose Quality Thought

100% Success Rates in the Placement for Skilled People

A gate way to your🤔 Bright Future in the IT industry

Testimonials

– Aisha

– Mohsin

– Sachin

– Kirat

Certification

Key Facts Of Quality Thought

Real Time Expert Trainers

50000+ Students Trained

15000+ Students Placed at Different Levels

Training by Realtime Industry Experts

Tie Up With 250+ Companies

Educated 15+ BPO & Back Office/Ops on IT Trends

Frequently asked questions

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JOB ORIENTED INTENSIVE PROGRAM (JOIP)