AWS Data Engineer Course in Hyderabad
With
Certification & 100% Placement Assistance
Online | Offline Batches | Real-Time Projects | 2–3 Months | Flexible EMI | Free Demo Class
Looking to start your career as an AWS Data Engineer in Hyderabad? Our course helps you build and manage data pipelines, lakes, and warehouses using AWS Glue, Redshift, and Kinesis. Get hands-on practice, expert mentoring, and full placement assistance to land your dream cloud data job.
AWS Data Engineer Certification Training in Hyderabad
Next Batch Details
| Trainer Name | Mr. Dinesh & Mr. Sandeep |
| Trainer Experience | 10+ Years & 12+ Years of Real-Time Industry Experience |
| Next Batch Date | 6th November 2025 |
| Training Modes: | Online & Offline Training |
| Course Duration: | 2-3 Months |
| Call us at: | +91 81868 44555 |
| Email Us at: | brollyacademy@gmail.com |
| Demo Class Details: | ENROLL FOR FREE DEMO CLASS |
Why Brolly Academy is the Best AWS Data Engineer Training Institute in Hyderabad
95%
Placement Assistance with Top IT Companies and MNCs
350+
Trusted by students and working professionals across Hyderabad
4.8
Consistently ranked among the best AWS training institutes in Hyderabad
5,000+
Successfully placed in Cloud and Data Engineering roles
2-3 Months
Duration
Modes
Classroom & Online
Fee Range
Affordable
50+
Projects Completed
Why Choose Brolly Academy for AWS Data Engineer Training in Hyderabad
- Industry-ready AWS Data Engineering curriculum designed for job placements
- Expert trainers with 13+ years of real-time AWS cloud and data experience
- Hands-on projects using AWS Glue, Redshift, Kinesis, S3, and EMR
- Online and offline instructor-led training options
- One-to-one placement mentorship and career guidance
- Affordable course fees with EMI options for all AWS learners
- Recognized as one of the best AWS Data Engineer certifications in Hyderabad
- Further ready updated AWS Data Engineering syllabus
- Lifetime access to recordings and study materials
- Aws Free 3-day demo classes before enrollment
- Resume building, LinkedIn optimization, and mock interview sessions
- 100% placement assistance after AWS course completion
- Active community learning via WhatsApp and Discord groups
- Real-time capstone projects on end-to-end data pipelines and ETL workflows
- Flexible training schedules with weekday and weekend batches
- Trusted by over 5,000 students in Hyderabad and across India and Abord
AWS Data Engineer Course Curriculum in Hyderabad
AWS Data Engineer Course Syllabus
- Overview of Data Engineering & Cloud Data Ecosystem
- Key AWS Services for Data Engineers
- Understanding Data Lake, Data Warehouse, and ETL Concepts
- AWS IAM, Architecture Setup, and Permissions
- Configuring AWS CLI & SDK (Boto3)
- Cloud Computing Essentials
- AWS Global Infrastructure Overview
- EC2, S3, RDS Basics for Data Engineering
- AWS Billing, Pricing & Cost Management
- Resource Monitoring with CloudWatch
- Creating and Managing Buckets
- Data Lifecycle Policies & Versioning
- Static Data Hosting and Partitioning
- Data Lake Implementation using S3
- Securing S3 Buckets with IAM and KMS
- Understanding AWS Glue Data Catalog
- Schema Discovery and Crawler Configuration
- Job Development using Glue Studio
- ETL Script Authoring in PySpark
- Workflow Management and Automation
- Glue ETL Job Design
- AWS Lambda Integration with Glue
- Event-driven ETL Automation
- Handling Data Transformations and Validation
- Cost Optimization for Glue Jobs
- Introduction to Hadoop & Spark on EMR
- Cluster Setup, Scaling, and Management
- Data Processing with Spark SQL and PySpark
- Integrating EMR with S3 and Redshift
- EMR Performance and Cost Optimization
- Redshift Architecture and Cluster Setup
- Loading and Transforming Data with COPY Commands
- Query Performance Optimization
- Spectrum, Workload Management & Distribution Keys
- BI Integration using Tableau / Power BI
- Kinesis Data Streams, Firehose, and Analytics
- Setting Up Real-Time Data Ingestion
- Lambda and Kinesis Integration
- Real-Time Dashboards with QuickSight
- Kinesis vs Kafka Comparison
- Introduction to Workflow Orchestration
- Building Step Functions for ETL Workflows
- Managed Workflows for Apache Airflow (MWAA)
- Triggering Jobs Across AWS Services
- Amazon RDS (PostgreSQL/MySQL) Setup
- DynamoDB for Key-Value Storage
- Connecting ETL Jobs to Databases
- Query Optimization and Indexing
- Data Migration with AWS DMS
- Lambda Functions for Data Processing
- Event Triggers and Scheduling
- Connecting Lambda with S3, Kinesis, and Glue
- Best Practices for Serverless ETL
- Working with AWS SDK (Boto3)
- Integrating REST APIs with Data Pipelines
- Handling JSON, CSV, and Parquet Data Formats
- Automating Data Pull from APIs
- Amazon QuickSight Overview
- Building Dashboards and Reports
- Connecting QuickSight to Redshift and S3
- Data Storytelling and Insights Delivery
- Setting up Data Lakes using AWS Lake Formation
- Data Governance and Cataloging
- Access Control Policies
- Auditing and Monitoring
- AWS CloudWatch and CloudTrail Setup
- Logging Best Practices
- Data Encryption (KMS, SSE, CSE)
- Network Security, IAM Policies, and Auditing
- Cost Control Strategies for Data Pipelines
- Resource Utilization Metrics
- AWS Budgets and Cost Explorer
- Auto-scaling and Spot Instance Usage
- Introduction to DevOps for Data Engineering
- Using AWS CodePipeline and CodeBuild
- Deploying ETL Scripts via CI/CD
- Managing Pipeline Versions
- Python for Data Manipulation (Pandas, PySpark)
- Writing Complex SQL Queries
- AWS SDK with Python (Boto3)
- Data Validation Scripts
- End-to-End Data Pipeline (S3 → Glue → Redshift)
- Streaming Data Project (Kinesis → Lambda → Redshift)
- Data Lake Implementation Project
- Resume + GitHub Portfolio Review
- AWS Certified Data Analytics – Specialty (DAS-C01)
- Microsoft DP-203 Comparison & Preparation Tips
- Resume Building and LinkedIn Branding
- Interview Q&A and Mock Sessions
AWS Data Engineer Certification Training Roadmap – Beginner to Advanced
AWS Data Engineer Roadmap
- Our AWS Data Engineer Certification Training in Hyderabad is divided into three practical phases spread over 2–3 months, designed to take you from beginner to job-ready level.
Each phase focuses on mastering core AWS data services, ETL pipeline automation, and real-world project implementation.
By the end of this training, you’ll gain the hands-on experience, tools, and confidence required to work as an AWS Data Engineer in top companies.
01
Month 1: Cloud Foundations & Data Engineering Essentials
- In the first phase, you’ll learn the core concepts of data engineering and how they fit within the AWS ecosystem.
- Topics include AWS architecture, IAM roles, EC2 setup, S3 data storage, and CLI configuration.
- You’ll gain practical experience in creating, managing, and securing S3 data lakes, and performing data ingestion using structured and unstructured formats.
- By the end of Month 1, you’ll be able to set up AWS environments and prepare raw datasets for ETL workflows.
02
Month 2: ETL Development, Data Processing & Warehousing
- In this stage, you’ll focus on ETL pipelines, data transformation, and warehousing using tools like AWS Glue, EMR, and Redshift.
- You’ll design and deploy end-to-end pipelines — ingesting data from multiple sources, transforming it using PySpark in Glue, and storing it efficiently in Redshift.
- You’ll also work on data cataloging, schema management, and cost optimization techniques.
- Practical projects include ETL automation with Lambda, workflow orchestration with Step Functions, and data visualization with QuickSight.
03
Month 3: Real-Time Streaming, Capstone Projects & Placement Prep
- The final month covers real-time data streaming and advanced automation using AWS Kinesis, Glue Jobs, and Lambda triggers.
- You’ll build streaming data pipelines, perform analytics with Kinesis Data Analytics, and integrate with BI dashboards.
- Through a capstone project, you’ll develop an end-to-end data pipeline (S3 → Glue → Redshift → QuickSight) — ready to showcase on GitHub or your resume.
- You’ll also receive dedicated placement assistance, covering resume building, LinkedIn optimization, interview practice, and mock tests aligned with AWS Data Engineer certification paths.
What is AWS Data Engineering?
- A Key Part of Cloud Computing: AWS Data Engineering focuses on designing and managing large-scale data systems on Amazon Web Services.
- Builds Data Pipelines: Engineers create ETL workflows using AWS Glue, Lambda, and Step Functions to move and transform data.
- Manages Data Lakes: Stores and organizes massive datasets in Amazon S3 and AWS Lake Formation for analytics.
- Implements Data Warehouses: Builds analytical models and warehouses using Amazon Redshift for business insights.
- Processes Big Data: Uses AWS EMR and PySpark to handle high-volume structured and unstructured data.
- Enables Real-Time Analytics: Streams live data through AWS Kinesis for instant dashboards and monitoring.
- Ensures Data Security: Applies IAM roles, KMS encryption, and governance policies for secure data management.
- Supports Data Science & BI: Prepares clean, optimized data for Machine Learning, AI, and reporting tools like QuickSight.
- Popular AWS Tools: AWS Glue • Amazon Redshift • Amazon S3 • AWS EMR • AWS Kinesis • AWS Lambda • Amazon Athena • Lake Formation
Where is AWS Data Engineering Used?
Industry | How It’s Used | Example |
E-commerce & Retail | Manages large-scale customer and transaction data to improve recommendations and sales analytics. | Amazon uses AWS Glue and Redshift for data-driven product insights. |
IT & Software | Builds and automates ETL pipelines for big data applications and analytics dashboards. | Hyderabad-based IT firms use AWS Glue and Kinesis for real-time data processing. |
Finance & Banking | Handles massive financial datasets for fraud detection, reporting, and forecasting. | Banks in Hyderabad use AWS Redshift and Athena for secure financial analytics. |
Healthcare | Processes patient data, medical images, and clinical reports for AI-based insights. | HealthTech startups use AWS EMR and S3 to manage healthcare data pipelines. |
Education | Tracks student performance and learning outcomes using cloud-based analytics. | EdTech companies use AWS QuickSight for course and student data visualization. |
Marketing & Advertising | Consolidates data from multiple channels for campaign analysis and audience targeting. | Digital agencies use Redshift and QuickSight for marketing analytics. |
Media & Entertainment | Stores and processes streaming data for content recommendations and usage reports. | OTT platforms use AWS Kinesis and S3 for real-time content analytics. |
Startups & Innovation | Enables scalable, low-cost data storage and analysis for new-age businesses. | Hyderabad startups use AWS Glue and S3 for automated data processing. |
Benefits of the AWS Data Engineer Course in Hyderabad
Benefits of the Course
- At Brolly Academy, our AWS Data Engineer Course in Hyderabad is designed to help you build a job-ready cloud data engineering career through real-time AWS projects, DP-203-aligned syllabus, and 100% placement assistance.
- You’ll master data pipelines, data lakes, ETL/ELT workflows, and AWS services such as Glue, Redshift, Kinesis, EMR, Lambda, S3, and Athena — all under expert mentorship in both online and offline classroom training modes.
1. Learn from Expert Trainers
Get guided by AWS-certified data engineers with 10+ years of real-time cloud and big data experience in Hyderabad.
2. Master Core AWS Data Engineering Tools
Gain hands-on experience with AWS Glue, Redshift, EMR, Kinesis, Lambda, Lake Formation, and S3 to design and automate data pipelines.
3. Work on Real-Time Projects
Implement end-to-end AWS data engineering projects covering ETL pipelines, data lakes, and real-time streaming for practical exposure.
4. Get 100% Placement Assistance
Receive dedicated job support including resume building, mock interviews, LinkedIn optimization, and referrals to top companies hiring AWS Data Engineers in Hyderabad.
5. Earn a Recognized Certification
Prepare for AWS Data Engineer certification in Hyderabad (aligned with AWS Certified Data Analytics – Specialty (DAS-C01) and Microsoft DP-203) to validate your skills globally.
6. Develop a Strong Programming Foundation
Build proficiency in Python, SQL, and PySpark, the core programming tools for AWS Data Engineers.
7. Learn Data Lakes & Warehousing
Master Amazon S3 for data lakes and Amazon Redshift for data warehousing, along with data modeling and schema optimization.
8. Work on Real-Time Streaming Data
Handle real-time data ingestion and analytics using AWS Kinesis, Firehose, and Lambda event-driven processing.
9. Design Scalable Data Pipelines
Create automated and cost-optimized ETL workflows using AWS Glue, Step Functions, and EMR clusters.
10. Process Big Data on the Cloud
Use AWS EMR and Spark to handle large datasets efficiently across distributed computing environments.
11. Industry-Relevant Job Skills
Gain practical skills that align with top data engineering roles in IT, finance, healthcare, and e-commerce sectors across Hyderabad.
12. Master Cloud Security & IAM
Learn to implement IAM policies, encryption, and data governance for compliance and cloud data protection.
13. Flexible Learning Modes
Choose between AWS Data Engineer online course in Hyderabad and offline classroom batches, with weekend and fast-track options.
14. Affordable Course Fees with EMI Options
Access premium AWS data engineering training at a competitive price with flexible EMI and installment plans.
15. Join a Professional AWS Community
Become part of a data engineering network through our WhatsApp, Discord, and LinkedIn groups for continuous learning and job updates.
16. Future-Proof Cloud Data Career
With the rising demand for AWS Data Engineers, your skills will stay in-demand across Hyderabad and global markets, ensuring long-term growth.
Thinking of an AWS Data Engineer Course in Hyderabad?
- Traditional Training
- You sit and listen with limited interaction.
- Uses outdated slides and theory-heavy notes.
- Trainers with only general knowledge.
- Occasional lab work, no real-world application.
- Support ends after the course.
- Small exercises with little impact on career.
- No career guidance or mentorship.
- No placement assistance.
- One-size-fits-all approach.
- Brolly Academy Training
- You work hands-on with AWS data pipeline tools, including AWS Glue, Redshift, Kinesis, and Lambda.
- Daily coding practice using real AWS datasets for building end-to-end data pipelines.
- Learn from industry experts with 10+ years of real-world AWS Data Engineering experience.
- Build real-time projects, including ETL workflows, data lakes, and streaming applications.
- Ongoing job placement support, resume building, and interview preparation until you are placed.
- Customized mentorship based on your career goals — from entry-level AWS data engineer to senior cloud data architect.
- 100% placement assistance with access to top employers in Hyderabad’s data and cloud engineering market.
- Tailored training for real-time cloud data pipelines, big data processing, and analytics workflows.
Best AWS Data Engineer Training Institute in Hyderabad
Meet Our AWS Data Engineer Trainers
At Brolly Academy, you’ll learn from expert trainers who have hands-on experience working on real AWS data engineering projects and have trained thousands of students in Hyderabad.
INSTRUCTOR
Mr. Dinesh
AWS Data Engineer Specialist & Cloud Architect
Experience: 12+ years in AWS Data Engineering, Cloud Computing, Big Data, ETL Pipelines, Redshift, Kinesis, and S3.
About the tutor:
Students Trained: 5,000+ in Hyderabad
Expertise:
- AWS Data Engineering: Data Lakes, Data Warehousing, AWS Glue, Redshift, Kinesis, and ETL pipelines.
- Cloud Solutions: AWS best practices for scalable data solutions and cloud-based architecture.
- Big Data Processing: Hands-on experience with AWS EMR, PySpark, and Lambda for distributed data processing.
Projects:
- Real-time Streaming: Building AWS Kinesis-powered data pipelines for live analytics.
- ETL Automation: Designing automated ETL workflows with AWS Glue and Lambda.
- Data Warehousing: Optimizing Redshift for high-performance querying in cloud-based systems.
Teaching Style:
Mr. Dinesh simplifies complex AWS data engineering concepts into practical, job-oriented lessons, focusing on hands-on coding, real-world projects, and placement support.
Skills You’ll Gain from AWS Data Engineer Classes in Hyderabad
Skills Developed after the course
- Design and Build Data Pipelines: Master AWS Glue, Kinesis, and Lambda to build scalable ETL pipelines for data ingestion, transformation, and storage.
- Work with Cloud Data Storage: Learn how to store, organize, and manage massive datasets using Amazon S3 and AWS Lake Formation for efficient data lakes.
- Optimize Data Warehousing: Gain expertise in Amazon Redshift for building high-performance data warehouses that support business intelligence and analytics.
- Real-Time Data Processing: Use AWS Kinesis for real-time data streams and learn how to process and analyze live data for instant insights.
- Data Security & Compliance: Implement IAM roles, data encryption with AWS KMS, and apply security best practices for cloud data systems.
- Data Transformation with PySpark: Process and transform large datasets using PySpark on AWS EMR to ensure fast and cost-effective data handling.
- Automate Workflows with AWS Step Functions: Build automated ETL workflows and orchestration pipelines using AWS Step Functions for error handling and process monitoring.
- Big Data Technologies: Work with AWS EMR and Apache Spark to handle big data processing across distributed systems efficiently.
- Data Integration with BI Tools: Integrate AWS Redshift with Tableau and Power BI for seamless data visualization and reporting.
- Deploy Data Solutions on AWS: Gain hands-on experience deploying data solutions on AWS Sagemaker, AWS Lambda, and Google Cloud for machine learning and cloud applications.
- Strong Foundation in SQL & Python: Enhance your skills in SQL and Python for data manipulation, analysis, and automation within AWS.
- Understand Cloud-Based Data Architectures: Learn how to design, implement, and manage cloud-native data architectures using AWS S3, Redshift, Kinesis, and other AWS services.
AWS Data Engineer Capstone Projects in Hyderabad Training
AWS Data Engineer Capstone Projects
Our AWS Data Engineer training in Hyderabad includes hands-on projects that replicate real-world data engineering challenges. These capstone projects are designed to give you practical experience working with AWS services like Glue, Redshift, Kinesis, S3, and more. Whether you choose online or offline courses in Hyderabad, you’ll gain job-ready skills in cloud data engineering, data pipelines, ETL automation, and big data processing.
1. Data Pipeline Automation with AWS Glue & Redshift
Build and deploy ETL pipelines using AWS Glue, Lambda, and Redshift to automate data transformation and loading processes for large datasets. Gain hands-on experience in creating real-time and batch data pipelines.
2. Real-Time Data Streaming with AWS Kinesis
Learn how to ingest, process, and analyze real-time streaming data using AWS Kinesis and Lambda. Work with live data to create dashboards and visualizations that display instant analytics and insights.
3. Building a Data Lake with Amazon S3 & Lake Formation
Develop an end-to-end data lake solution using Amazon S3 and AWS Lake Formation. Learn how to organize, manage, and secure vast datasets for easy access by multiple applications and analytics tools.
4. Automating ETL Workflows with AWS Step Functions
Design and automate ETL workflows with AWS Step Functions and Glue Jobs, orchestrating data movement across different AWS services. Build scalable, automated data processing solutions for large datasets.
5. Data Governance & Security with AWS IAM & KMS
Implement data governance and security best practices for AWS data solutions using IAM roles and KMS encryption. Ensure data integrity and compliance across the data pipeline.
6. Data Warehousing with Amazon Redshift & QuickSight
Create and optimize a data warehouse using Amazon Redshift, and integrate it with AWS QuickSight for reporting and data visualization. Build analytical models to provide actionable insights from stored data.
Tools Covered in AWS Data Engineer Training in Hyderabad
Tools Covered
AWS Data Engineer Course Fee & Offerings in Hyderabad
Course Fee & Offerings
Video Recording
Rs 15000 9999
- Lifetime video access
- Basic to advanced AWS Data Engineering modules (Glue, Redshift, Kinesis, EMR)
- 80+ recorded classes
- Capstone project
- Resume & interview support
- 100% placement assistance
- WhatsApp group access
Class Room Training
Rs 35000 29999
- 2–3 months structured training
- Expert AWS trainers with 10+ years of industry experience
- Real-time industry projects on AWS Glue, Redshift, and Kinesis
- One-on-one mentorship & lab support
- Monthly mock interviews
- Resume & interview guidance
- Soft skills training
- Dedicated placement officer
- Commute support (offline batches)
- WhatsApp support + group access
Online Course
Rs 30000 24999
- Live interactive online sessions (flexible timings)
- 2–3 months of live AWS Data Engineering training
- Real-time project environment from Day 1
- Weekly mock interviews with career guidance
- Doubt-clearing sessions and 50+ resume samples
- WhatsApp group for support & updates
Placement Program for AWS Data Engineer Training in Hyderabad
Placement Program
At Brolly Academy, our AWS Data Engineer Course in Hyderabad includes a 100% placement support program to ensure students not only learn AWS data engineering skills but also get placed in top data-driven companies across Hyderabad.
Resume Building
Placement Training
Interview Questions
Realtime Live Projects
Get Offer Letter
Scheduling Interviews
Mock Interviews
Personality Development
- Resume Building: Craft ATS-friendly AWS Data Engineer resumes tailored for cloud data roles.
- Placement Training: Learn how to apply for jobs, target openings, and crack company-specific data engineer hiring processes.
- Interview Questions: Get access to real-time AWS data engineer interview questions from top industry recruiters.
- Internships Under Experts: Gain hands-on AWS data engineering internship opportunities to add real industry projects to your profile.
- Real-Time Live Projects: Showcase practical experience in AWS data engineering projects, including ETL pipelines, data lakes, and streaming.
- Aptitude Preparation: Brush up on logical reasoning, problem-solving, and technical test skills for cloud-based roles.
- Personality Development: Improve communication, presentation, and confidence for client interactions in AWS Data Engineer roles.
- Mock Interviews: Practice AWS Data Engineer interviews with HR and technical mock rounds to gain confidence.
- Scheduling Interviews: We connect you with hiring companies and schedule interviews.
- Get Offer Letter: Secure job offers from top AWS data engineer recruiters in Hyderabad and across India.
Student Testimonials – AWS Data Engineer Course in Hyderabad
Testimonials
AWS Data Engineer Student Community in Hyderabad
Student Community
At Brolly Academy, learning AWS Data Engineering goes beyond the classroom. By joining our AWS Data Engineer training in Hyderabad, you also become part of an active student community where you can connect, collaborate, and grow with like-minded peers and industry professionals.
Learning & Collaboration
Work alongside fellow students on real-world AWS data engineering projects, share coding tips, solve ETL pipeline challenges, and learn hands-on with AWS Glue, Redshift, and Kinesis.
Access to Resources and Tools
Get exclusive access to AWS data engineering tools, datasets, and recorded sessions to keep learning anytime. Resources include project templates, AWS S3 tutorials, and best practices for data warehousing.
Networking Opportunities
Build your professional network by connecting with AWS trainers, industry mentors, and recruiters in Hyderabad. Leverage these connections for career growth and industry insights.
Mentorship from Industry Professionals
Learn directly from AWS cloud data engineers who guide you with career advice, placement prep, and real-world project insights using AWS services like Glue, Lambda, and Redshift.
Job Support & Career Development
Stay updated with job postings, internship leads, freelance projects, and placement assistance. Brolly Academy ensures that you have all the support to secure a top-tier AWS data engineering job in Hyderabad.
Pre-requisites for AWS Data Engineer Course in Hyderabad
Pre-requisites & Eligibility
- Basic Understanding of Cloud Computing: Familiarity with cloud services and concepts, particularly the AWS Cloud ecosystem, will be helpful but is not mandatory.
- Basic Programming Skills (Python, SQL): Knowledge of Python for scripting and SQL for querying databases will aid in understanding ETL workflows, data manipulation, and cloud automation.
- Basic Data Engineering Concepts: While not required, some familiarity with data structures, databases, and data processing concepts will be beneficial for understanding data pipelines and data engineering principles.
- Familiarity with Databases (Relational and NoSQL): Understanding the basics of databases like MySQL, SQL Server, or MongoDB will be helpful, as the course covers data warehousing and integration with AWS Redshift and Amazon RDS.
- Willingness to Learn and Practice: Since the course includes real-time projects on AWS tools like Glue, Kinesis, and EMR, a hands-on approach to learning is essential.
Who Should Join the AWS Data Engineer Course in Hyderabad?
- Aspiring Data Engineers: Those who want to kickstart their career as AWS Data Engineers and learn to design, build, and manage data pipelines using AWS services like Glue, Redshift, Kinesis, and Lambda.
- IT Professionals Looking to Upskill: Professionals from software development, IT operations, or networking backgrounds looking to pivot into cloud-based data engineering roles and gain expertise in AWS Data Engineering tools.
- Cloud Enthusiasts: Individuals interested in cloud computing and seeking hands-on experience with AWS cloud services to build scalable data architectures and manage data lakes, data warehouses, and real-time streaming data.
- Data Scientists Seeking Data Engineering Skills: Data scientists who want to bridge the gap between data science and data engineering, by learning how to prepare data and automate workflows for machine learning and data analysis.
- Data Analysts Looking to Transition to Engineering: Data analysts who want to deepen their understanding of data pipelines, ETL processes, and cloud technologies to move into a more advanced AWS data engineering role.
- Freshers with a Passion for Data Engineering: Graduates in computer science, information technology, or related fields who are interested in gaining real-time data engineering experience on the AWS platform.
- Professionals Seeking Career Growth: Individuals looking for career advancement in cloud data engineering, big data processing, or data warehousing and aiming for top AWS-certified positions with leading companies in Hyderabad and across India.
Career Roles After AWS Data Engineer Course
Career Opportunities
- AWS Data Engineer: Design, build, and manage data pipelines using AWS services like Glue, Redshift, and Kinesis.
- Cloud Data Architect: Design scalable data architectures using AWS for data storage, processing, and analytics.
- Data Scientist / Machine Learning Engineer: Leverage AWS tools to prepare data for machine learning models and predictive analytics
- Big Data Engineer: Work on big data technologies like EMR and Redshift for processing large datasets across distributed systems.
- ETL Developer: Build ETL workflows using AWS Glue, Lambda, and Step Functions for automated data transformation.
- Business Intelligence Developer: Create interactive BI reports and dashboards using AWS Redshift and QuickSight for actionable insights.
- Cloud Solutions Architect: Architect and implement cloud-based data systems on AWS, ensuring scalability and security.
- Data Analyst: Analyze and interpret data by building and optimizing data pipelines using AWS S3 and Glue.
- AWS Cloud Consultant: Advise businesses on how to migrate to AWS, optimize data processing, and use AWS best practices.
Salary in Hyderabad – Freshers to Experienced
Experience Level | Salary Range (Approx.) | Key Insights |
Freshers (0-2 Years) | ₹5,00,000 – ₹8,00,000 per year | Entry-level positions typically involve working on ETL pipelines, data transformation, and AWS Glue. |
Junior (2-5 Years) | ₹8,00,000 – ₹12,00,000 per year | More responsibility in building data pipelines,data lakes, and cloud-based architectures using Redshift and Kinesis. |
Mid-Level (5-8 Years) | ₹12,00,000 – ₹15,00,000 per year | Proficient in working with AWS data services for real-time analytics, big data processing, and cloud data solutions. |
Senior (8+ Years) | ₹15,00,000 – ₹22,00,000 per year | Leading data teams, designing advanced data architectures, and overseeing large-scale data warehouse projects on AWS. |
Lead / Manager | ₹22,00,000 – ₹30,00,000+ per year | Overseeing the entire data engineering infrastructure, including AWS migrations, large-scale analytics, and team leadership. |
Top Companies Hiring AWS Data Engineers Professionals from Brolly Academy
Our Achievements in AWS Data Engineer Training – Brolly Academy Hyderabad
Our Achievements
50+ AWS Data Engineer Batches Completed
12+ Years Years in AWS Data Engineering Training
4,500+ Students Trained in AWS Data Engineering
90% Placement Success Rate
AWS Data Engineer Certifications You Will Receive in Hyderabad
At Brolly Academy, every learner receives industry-recognized AWS Data Engineer certifications that demonstrate both your technical skills and real-world project experience. These certifications will enhance your resume and provide you with the credibility needed to succeed in cloud data engineering roles at leading companies.
Certifications We Guide You On:
- AWS Data Engineer Course Completion Certificate
- AWS Certified Data Analytics – Specialty (DAS-C01)
- ETL & Data Pipeline Design Certification
- Big Data Processing Certification (using AWS EMR and Kinesis)
- AWS Cloud Solutions Architect Certification (aligned with AWS Solutions Architect – Associate)
- Capstone Project Certification
Market Trends for AWS Data Engineers
Market Trends
- Shift to Cloud Infrastructure: As businesses move to cloud-based solutions, demand for AWS Data Engineers grows. AWS services like S3, Redshift, and EMR are key for managing scalable data architectures and pipelines.
- Need for Real-Time Data Processing: AWS Kinesis and Lambda are essential for real-time data streams. AWS Data Engineers are vital for building and managing live data processing pipelines.
- Growth of Machine Learning & AI: AWS Data Engineers enable data processing for machine learning and AI models using SageMaker and Glue, supporting businesses in adopting AI-driven insights.
- Big Data & IoT Expansion: With the rise of IoT and big data, AWS Data Engineers use EMR and Redshift to manage massive datasets, creating efficient data lakes and processing systems.
- Certification Advantage: AWS Data Analytics – Specialty certification boosts career prospects, making certified professionals more attractive to employers.
- Growing Demand in Hyderabad: Hyderabad’s expanding tech sector is driving a high demand for AWS Data Engineers with expertise in cloud data solutions and big data technologies.
- Competitive Salaries & Growth: The demand for AWS Data Engineers is reflected in competitive salaries and growth opportunities in sectors such as finance, e-commerce, and IT.
AWS Data Engineer Course in Hyderabad
FAQS
1. What is an AWS Data Engineer and what do they do?
An AWS Data Engineer designs, builds, and manages data pipelines and architectures using AWS tools such as AWS Glue, Redshift, Kinesis, and S3. Their role focuses on handling large datasets, creating data workflows, and ensuring smooth data processing for analysis and reporting.
2. How much does the AWS Data Engineer certification cost in India?
The cost of the AWS Certified Data Analytics – Specialty exam is approximately ₹11,000 to ₹12,000 in India. However, training fees may vary depending on the AWS Data Engineer course provider, including additional materials and resources.
3. What skills do I need as an AWS Data Engineer?
To become an AWS Data Engineer, you need proficiency in Python, SQL, AWS services like Glue, Redshift, EMR, and Kinesis. Strong knowledge of data pipelines, ETL processes, and cloud computing will be essential for the role.
4. What is the typical salary of an AWS Data Engineer in Hyderabad?
The salary for an AWS Data Engineer in Hyderabad ranges from ₹5,00,000 for freshers to ₹18,00,000+ for experienced professionals. Senior roles can exceed this based on experience and expertise in AWS data services.
5. Is the AWS Data Engineer course worth it?
Yes, the AWS Data Engineer course is highly valuable. With the growing demand for cloud data solutions, big data, and real-time analytics, AWS-certified data engineers are sought after by top employers. Completing this course opens doors to high-paying roles in data engineering.
6. What are the key modules in an AWS Data Engineer course?
Key modules include:
1. Introduction to AWS Services (S3, Redshift, Lambda)
2. ETL Pipeline Design using AWS Glue
3. Data Lakes and Warehousing using Redshift
4. Big Data Processing with EMR and Kinesis
5. Real-time Analytics with Kinesis and Lambda
6. Cloud Security & IAM configuration
7. How long does the AWS Data Engineer training take in Hyderabad?
The AWS Data Engineer course typically takes 2–3 months, depending on the batch (weekdays or weekends). Fast-track options are also available for quicker learning.
8. Which institute offers the best AWS Data Engineer course in Hyderabad?
Brolly Academy offers the best AWS Data Engineer course in Hyderabad. We provide certified trainers, hands-on training with real-time projects, and 100% placement support to ensure you’re job-ready.
9. Can freshers join the AWS Data Engineer course in Hyderabad?
Yes, freshers with a basic understanding of programming and databases are welcome. The course is designed to take you from beginner to advanced, providing a strong foundation in AWS cloud data services.
10. What job roles are available after completing the AWS Data Engineer course?
After completing the course, you can apply for roles like:
1. AWS Data Engineer
2. Cloud Data Architect
3. Big Data Engineer
4. ETL Developer
5. Data Analyst
11. What is the difference between AWS Data Engineer and Azure Data Engineer?
AWS Data Engineers work primarily with AWS tools like Redshift, Glue, Kinesis, and S3, whereas Azure Data Engineers work with Microsoft Azure tools. Both roles focus on data pipeline creation and management but use different cloud ecosystems.
12. Do I need programming experience before joining the AWS Data Engineer course?
Some familiarity with programming languages like Python and SQL will be helpful. However, our AWS Data Engineer course at Brolly Academy covers these basics and provides guidance for beginners as well.
13. What real-time projects will I do in the AWS Data Engineer course?
You’ll work on several real-time projects, including:
1. Building ETL pipelines using AWS Glue and Redshift
2. Creating a data lake with AWS S3 and Lake Formation
3. Implementing real-time data streaming with AWS Kinesis
4. Designing big data architectures using EMR
14. Does the course cover AWS Glue, Kinesis, Redshift, and EMR?
Yes, our AWS Data Engineer course covers all these key AWS services. You will gain hands-on experience with AWS Glue, Kinesis, Redshift, EMR, and more.
15. Are weekend batches available for AWS Data Engineer course in Hyderabad?
Yes, Brolly Academy offers flexible weekend batches for working professionals who prefer to learn on Saturdays and Sundays.
16. Will I get placement support after the course?
Yes, Brolly Academy provides 100% placement support, including resume building, mock interviews, and job referrals to top companies hiring AWS Data Engineers in Hyderabad and beyond.
17. What is the fee for AWS Data Engineer certification in India?
The cost of the AWS Certified Data Analytics – Specialty exam is approximately ₹11,000 – ₹12,000. Course fees vary based on the provider and training mode.
18. How do I prepare for AWS Data Engineer interview questions?
At Brolly Academy, we provide interview prep as part of the course, including mock interviews, a list of common AWS data engineer interview questions, and real-time problem-solving exercises.
19. What is the job description of an AWS Data Engineer?
An AWS Data Engineer designs and builds data pipelines, manages cloud data infrastructure, and ensures the smooth processing of large datasets using AWS services like S3, Redshift, and Glue.
20. What are the roles and responsibilities of an AWS Data Engineer?
- Designing and implementing ETL pipelines
- Managing data lakes and data warehouses
- Ensuring data quality and integrity
- Automating workflows using AWS Glue, Kinesis, and Lambda
21. Which companies in Hyderabad hire AWS Data Engineers?
Companies like Amazon, Microsoft, Wipro, Infosys, TCS, and Cognizant regularly hire AWS Data Engineers for roles in cloud data engineering, big data analytics, and more.
22. Does the AWS Data Engineer course include online and classroom options?
Yes, Brolly Academy offers both online and classroom training options, allowing you to choose the mode that best fits your schedule and learning preferences.
23. What is the difference between an AWS Data Engineer and an AWS Solution Architect?
An AWS Data Engineer focuses on building and managing data pipelines, ETL processes, and cloud storage solutions, while an AWS Solution Architect designs and oversees the overall cloud infrastructure for applications and services.
24. Which AWS services should I master to become a Data Engineer?
Key AWS services to master include S3, Redshift, Glue, EMR, Kinesis, and Lambda, as they are essential for building data pipelines, managing data lakes, and processing large-scale data.
25. What is data pipeline architecture in AWS?
A data pipeline architecture in AWS involves designing a series of data processing workflows using services like AWS Glue for ETL, S3 for storage, and Redshift for querying and analysis.
26. How much time will it take to get a job after AWS Data Engineer training?
On average, it can take anywhere from 3 to 6 months to secure a job after completing the AWS Data Engineer course, depending on your skillset, job market conditions, and interview performance.
27. What are the future prospects of an AWS Data Engineer career?
The demand for AWS Data Engineers is growing, with opportunities to transition into roles such as Cloud Data Architect, Data Scientist, or Big Data Engineer. AWS certifications open doors to both domestic and international job markets.
28. Can I switch from analytics to AWS data engineering?
Yes, professionals from an analytics background can transition into AWS Data Engineering by mastering AWS tools like S3, Redshift, and Glue. The training will help you build data pipelines and manage cloud data systems.
29. Is a weekend course enough to learn AWS Data Engineer skills?
Yes, weekend courses at Brolly Academy are designed to cover all the essential skills needed to become a proficient AWS Data Engineer in a structured way, allowing you to balance learning with your work schedule.
30. How to choose the right AWS Data Engineer training in Hyderabad?
Choose a course that offers hands-on training, industry-recognized certifications, placement support, and covers all key AWS services like Redshift, Glue, S3, and Kinesis. Brolly Academy is one of the top-rated AWS training providers in Hyderabad.
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