Cloud & Data Engineering

Data Engineering Course in Hyderabad

Build robust data pipelines

The Data Engineering course at GloryTecks runs 3 months and covers Python for Data Engineering, SQL for Data Engineering, Data Processing & ETL and Big Data Fundamentals, plus 10 more syllabus sections, with 5 hands-on projects and tools including Python, Jupyter Notebook, Google Colab and Pandas. It is taught in classroom batches at the GloryTecks centre in Ameerpet, Hyderabad, and in live online batches.

Duration
3 Months
Modules
14+ topics
Placement
100% Support
Certification
Industry Recognized

Syllabus

Python for Data Engineering

  • •Python Fundamentals
  • •File Handling & Automation
  • •Working with APIs
  • •Data Processing with Pandas
  • •Logging & Error Handling

SQL for Data Engineering

  • •Database Fundamentals
  • •Advanced SQL Queries
  • •Joins & Subqueries
  • •Window Functions
  • •Stored Procedures
  • •Query Optimization

Data Processing & ETL

  • •ETL vs ELT Concepts
  • •Data Extraction Techniques
  • •Data Transformation Pipelines
  • •Data Loading Strategies
  • •Workflow Automation

Big Data Fundamentals

  • •Introduction to Big Data
  • •Hadoop Ecosystem
  • •Distributed Computing Concepts
  • •Batch vs Real-time Processing

Apache Spark

  • •Spark Architecture
  • •PySpark Basics
  • •DataFrames & RDDs
  • •Spark SQL
  • •Spark Streaming
  • •Performance Optimization

Data Pipelines & Orchestration

  • •Apache Airflow
  • •Workflow Scheduling
  • •DAG Creation
  • •Pipeline Monitoring
  • •Automation & Alerts

Data Warehousing

  • •Data Warehouse Concepts
  • •Star & Snowflake Schema
  • •OLTP vs OLAP
  • •Data Modeling Techniques
  • •Data Lake vs Data Warehouse

Microsoft Azure Data Engineering

  • •Introduction to Microsoft Azure
  • •Azure Data Factory (ADF)
  • •Azure Data Lake Storage
  • •Azure Synapse Analytics
  • •Azure Databricks
  • •Azure SQL Database
  • •Data Pipelines in Azure

AWS Data Engineering

  • •Introduction to AWS
  • •Amazon S3
  • •AWS Glue
  • •Amazon Redshift
  • •AWS Lambda
  • •Amazon EMR
  • •Kinesis for Streaming Data
  • •Data Pipelines on AWS

Google Cloud Platform (GCP)

  • •Introduction to Google Cloud
  • •BigQuery
  • •Cloud Storage
  • •Dataflow
  • •Dataproc
  • •Pub/Sub Messaging
  • •Cloud Composer
  • •Data Pipelines on GCP

Streaming & Real-time Data

  • •Apache Kafka Basics
  • •Stream Processing Concepts
  • •Real-time Data Pipelines
  • •Event-driven Architecture

Data Governance & Security

  • •Data Security Fundamentals
  • •Access Control & IAM
  • •Data Encryption
  • •Data Quality & Validation
  • •Compliance Basics

DevOps & Deployment

  • •Docker Basics
  • •CI/CD for Data Pipelines
  • •Git & GitHub
  • •Infrastructure Basics

Monitoring & Optimization

  • •Pipeline Monitoring
  • •Logging & Debugging
  • •Performance Tuning
  • •Cost Optimization in Cloud

Tools Covered

PythonJupyter NotebookGoogle ColabPandasMySQLApache HadoopApache SparkPySparkApache AirflowApache KafkaDockerGitGitHubMicrosoft AzureAWSGoogle CloudAzure Data FactoryAzure DatabricksAmazon RedshiftBigQuery

Projects Included

  • End-to-End ETL Pipeline
  • Cloud-based Data Warehouse
  • Real-time Streaming Pipeline
  • Data Lake Implementation
  • Multi-cloud Data Engineering Project

Start Your Journey Today

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Prerequisites & Eligibility

Understand the foundation and skills needed to succeed in the Data Engineering course.

Course Prerequisites

  • Any graduate is eligible for enrollment across all program tracks
  • Dedication to work on real-time scenario projects and live client project implementations
  • Willingness to engage in aptitude, soft skills and interview readiness sessions
  • Commitment to complete full-day training or intensive/internship program schedules
Special Note: The Data Engineering course is designed for aspiring professionals. Our trainers and counselors will provide personalised guidance to help you start your Data Engineering journey, with placement assistance available across multiple program options.

Why Choose GloryTecks

Build practical capabilities through structured learning, expert mentors and hands-on projects.

5+
Years Experience
800+
Students Trained
50+
Hiring Partners
95%
Placement Rate

5+ Years of Excellence

Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.

Expert Faculty

Learn from trainers with real-world industry experience, who teach the way the work is actually done.

Placement Assistance

A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.

Comprehensive Curriculum

Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.

Career Growth Focus

Not just training, but complete career transformation with soft skills and interview preparation.

Online & Classroom

Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.

Flexible Batches

Weekday, weekend and online batch timings to suit working professionals, students and freshers.

Real-time Projects

Work on real-time scenario projects so you finish with practical experience to show employers.

We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.

Certification

Explore certification and practical learning opportunities with a focus on Data Engineering.

Certificate of Completion

Data Engineering

This certifies that

[Your Name]

has successfully completed the

Data Engineering
Training Program

GloryTecks

Ameerpet, Hyderabad

Certificate ID

GT-YYYY-XXXX

Certificate Includes

  • Course completion certificate from GloryTecks
  • Project completion certificates
  • Internship completion certificate for eligible internship programs
  • Digital certificate with a unique verification ID
  • Shareable on LinkedIn and other professional platforms
  • Valid proof of skill acquisition for employers
  • Includes the detailed syllabus covered

Industry Focus

A certificate built around the tools and skills employers ask for, adding credibility to your resume.

Skill Validation

Proves your expertise in the course and the technologies you worked with.

Career Advancement

Strengthens your profile when you apply for jobs and negotiate your salary.

Digital & Physical

Get a digital certificate for online sharing and a physical copy for framing.

Course Certificate

Upon successful completion of the training program

Project Certificate

For major projects completed during training

Course Features & Highlights

Build a strong foundation through a structured Data Engineering course with practical learning and hands-on exposure.

Live Projects

Work on real-world projects from day one with industry use cases.

Expert Trainers

Learn from industry professionals with real-world experience.

Placement Support

Dedicated placement team with assistance until you get hired.

Industry Certification

Get certified and boost your resume with recognized credentials.

LMS Access

Access to learning materials and recorded sessions.

Mock Interviews

Weekly mock interviews to prepare you for real job scenarios.

Resume Building

Professional resume preparation and LinkedIn profile optimization.

Additional Benefits

  • Flexible Payment Plans
  • 6-12 Months LMS Access
  • Doubt Clearing Sessions
  • 24/7 Learning Support

Frequently asked questions

What does the Data Engineering course syllabus cover?

14 sections: Python for Data Engineering, SQL for Data Engineering, Data Processing & ETL, Big Data Fundamentals, Apache Spark, Data Pipelines & Orchestration, Data Warehousing, Microsoft Azure Data Engineering, AWS Data Engineering, Google Cloud Platform (GCP), Streaming & Real-time Data, Data Governance & Security, DevOps & Deployment and Monitoring & Optimization. It includes 5 projects: End-to-End ETL Pipeline, Cloud-based Data Warehouse, Real-time Streaming Pipeline and 2 more.

Is the Data Engineering course available as live online training?

Yes. The Data Engineering course runs in live online batches as well as classroom batches at the GloryTecks centre in Ameerpet, with recorded session access.

Is Data Engineering hard to learn for beginners?

The course is built for people starting out: any graduate can enrol, it starts from fundamentals, and the syllabus runs in the order the topics are taught.

What is the fee for the Data Engineering course in Hyderabad?

GloryTecks does not publish fees online; they vary by course and by batch. Call +91 99080 99980 or visit the Ameerpet centre for the current Data Engineering fee and the ways to pay it.

Will I get a certificate after the Data Engineering course?

Yes. You receive a GloryTecks course completion certificate. Vendor certifications, for example from Microsoft, AWS or Google, are separate exams that you book and take directly with the vendor; a counsellor can tell you which one, if any, matches this syllabus.

What placement support do Data Engineering students get?

Placement support at GloryTecks means career counselling, resume and ATS-friendly CV preparation, a LinkedIn profile review, mock interviews and introductions to hiring companies. It is support with the job search, not a guarantee of a job.

Is Data Engineering in demand in Hyderabad, and what roles can I apply for?

Roles that use these skills include Data Engineer, Big Data Engineer, Analytics Engineer, Platform Engineer and ETL Developer. GloryTecks does not publish hiring figures, and completing the course does not guarantee a role.

Best Data Engineering Training in
Ameerpet, Hyderabad

Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.

611, Annapurna Block, Aditya Enclave, Ameerpet, Hyderabad – 500038, Telangana, India
Mon–Sat: 8AM – 9PM | Sunday: 9AM – 5PM
Get Directions

Placement Support

100% placement assistance with 500+ hiring partners. Mock interviews, resume building, and career mentorship included.

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