Data Engineer Certification Training

Master the fundamentals of data engineering with hands-on training in SQL, data modeling, ETL, and big data concepts. Build scalable pipelines, design warehouses, and gain industry-ready skills to advance your career in data engineering.

4.8

★★★★★ 4.8/5

Overview of Course

Welcome to the Data Engineer Certification Course, a career-focused training program designed to help you gain expertise in designing, building, and managing data pipelines and analytics systems. This course blends conceptual learning with hands-on labs and real-world projects, preparing you for globally recognized certifications and high-demand data engineering roles.

You’ll begin with the foundations of databases, data modeling, and ETL workflows, then move into advanced tools and technologies like SQL, Python for data engineering, Apache Spark, Hadoop, Kafka, Data Warehousing, and Cloud Platforms (AWS, Azure, GCP). You’ll also explore real-world industry use cases in finance, healthcare, retail, and social media where data engineering drives decision-making and innovation.

The program is designed to be practical and industry-oriented. You’ll build end-to-end pipelines, process real-time data, integrate big data tools, and manage large-scale data solutions guided by certified data engineering mentors. Agile methodologies and team-based projects simulate how real data engineering teams work in enterprises.

By the end of this course, you will:

Master tools for data ingestion, storage, transformation, and processing.
Gain hands-on experience with ETL, real-time streaming, and data orchestration.
Build a portfolio of projects showcasing your data engineering expertise.
Be prepared for certifications such as Google Professional Data Engineer, AWS Data Analytics Specialty, and Microsoft Azure Data Engineer Associate.
Acquire job-ready skills for roles like Data Engineer, Big Data Developer, Cloud Data Engineer, and Analytics Engineer.

This program is not just about learning tools, it’s about becoming data-ready and career-ready.

Live Projects for Experience

The Data Engineer Certification Course includes practical projects such as:

ETL Pipeline Project
Design and implement an ETL workflow to extract, clean, and load data into a data warehouse.
Real-Time Streaming Pipeline
Build a real-time analytics pipeline with Kafka, Spark Streaming, and a dashboard.
Data Lake Project
Create a scalable data lake on AWS/GCP/Azure with structured and unstructured data ingestion.
Data Warehouse Project
Implement a modern warehouse using Redshift/Snowflake/BigQuery for analytics queries.

Each project uses agile methodologies, sprints, team collaboration, and final presentations reflecting real data engineering workflows.

Key Features

Learn data engineering with hands-on labs and projects.
Mentorship from industry-certified experts in big data and cloud.
Build a portfolio of real-world projects for interviews.
Experience workflows with ETL, streaming, automation, and orchestration.
Master modern tools: SQL, Spark, Hadoop, Kafka, Airflow, Snowflake.
Flexible schedules for students and professionals.
Career support: resume building, mock interviews, job referrals.
Live projects simulating enterprise-level data challenges.
Certification-focused training paths for AWS, Azure, and GCP.
Showcase a capstone project with end-to-end pipeline deployment.

Course Syllabus

Module 1: Introduction to Data Engineering

Overview of Data Engineering and modern data ecosystems
Role of a Data Engineer vs Data Scientist vs Data Analyst
Key tools and technologies in Data Engineering

Module 2: Databases and Data Modeling

Relational databases (SQL, PostgreSQL, MySQL)
NoSQL databases (MongoDB, Cassandra)
Data modeling and schema design
Hands-on: Designing schemas for real-world projects

Module 3: Data Warehousing

Concepts of Data Warehousing and OLAP vs OLTP
Popular tools: Amazon Redshift, Snowflake, Google BigQuery
ETL vs ELT processes
Hands-on: Building a small data warehouse solution

Module 4: Data Ingestion and Integration

Batch data ingestion tools (Sqoop, Apache Nifi, Talend)
Real-time data streaming with Kafka and Kinesis
Data pipeline orchestration basics (Airflow, Prefect, Luigi)
Project: Building a data ingestion pipeline

Module 5: Big Data Ecosystem

Introduction to Hadoop ecosystem
Spark fundamentals: RDDs, DataFrames, SparkSQL
Hands-on: Running Spark jobs on large datasets

Module 6: Cloud Platforms for Data Engineering

Overview of AWS, Azure, and GCP data services
Data storage: S3, Azure Data Lake, Google Cloud Storage
Cloud-native ETL and pipeline services
Project: Deploying pipelines on a cloud platform

Module 7: Data Transformation and Processing

ETL and ELT workflows
Data cleaning, transformation, and aggregation techniques
Hands-on: Building transformation pipelines with Spark and SQL

Module 8: Data Orchestration & Workflow Management

Apache Airflow: DAGs, scheduling, operators
Monitoring and troubleshooting workflows
Project: End-to-end automated data pipeline

Module 9: Data Security & Governance

Data privacy, encryption, and compliance (GDPR, HIPAA)
Access control and IAM policies in cloud platforms
Hands-on: Implementing security in cloud-based pipelines

Module 10: Capstone Project

Design and develop a real-world data engineering solution
Ingest, process, and analyze datasets using cloud-based pipelines
Deploy the final project and document the solution
Present project in GitHub for professional portfolio

Career Support & Job Readiness

GitHub Project Portfolio: Showcase real-world projects
Resume & LinkedIn Optimization: Tailored for Data Engineer roles
Mock Interviews & Practice Tests: Boost confidence for technical interviews
Job Placement Assistance: Connect with recruiters and companies

Frequently Asked Questions

Do I need programming experience to join this course?

Basic programming knowledge is helpful, but the course starts from beginner-friendly concepts.

Which certifications does this course prepare me for?

This training aligns with Google Professional Data Engineer, AWS Data Analytics Specialty, and Microsoft Azure Data Engineer Associate certifications.

What career roles can I pursue after completing this course?

You’ll be ready for roles like Data Engineer, Big Data Developer, Analytics Engineer, or Cloud Data Engineer.

Will I receive placement support?

Yes. The course includes resume workshops, career counseling, mock interviews, and job referrals.

Who Should Enroll?

The Data Engineer Certification Course is ideal for:

Beginners & Students – Those starting their career in IT and interested in data-driven roles.
Software Engineers & IT Professionals – Developers or system admins looking to transition into data engineering.
Data Enthusiasts – Learners passionate about big data, pipelines, and cloud analytics.
Career Changers – Professionals from testing, networking, or business roles looking to move into data careers.
Managers & Business Leaders – Decision-makers seeking to understand data engineering for digital transformation.

No prior big data experience is required. The program covers fundamentals to advanced topics step by step.

What are the prerequisites to Learn Data Engineering?

This course is designed to support both beginners and professionals. Recommended prerequisites:

Basic Computer Knowledge – Comfort with operating systems and internet tools.
SQL Fundamentals – Understanding queries, joins, and basic database operations.
Programming Basics – Python or Java is helpful but not mandatory.
Problem-Solving Skills – Ability to handle large datasets and troubleshoot pipelines.
System Requirements – A computer with internet access; cloud free-tier accounts for AWS, Azure, or GCP.

Even without prior data engineering knowledge, the guided, project-driven learning ensures you can progress confidently.

What are the benefits of the Data Engineer Certification?

Completing this course positions you for global careers in data engineering. Benefits include:

Hands-On Projects – Build real-world pipelines, ETL workflows, and analytics solutions.
Industry-Aligned Curriculum – Covers modern tools and certifications.
Mentorship from Certified Experts – Learn from professionals with big data & cloud experience.
Portfolio Development – Showcase data engineering projects to employers.
Certification Preparation – Training aligned with AWS, Azure, and Google certifications.
Career Services – Resume workshops, mock interviews, and job referrals.
Agile Teamwork – Gain experience in real-world workflows and collaboration.
Flexible Learning – Classes available on weekdays and weekends.
Confidence to Transition – Learn tools, workflows, and problem-solving to succeed.

This course includes:

Expecting High Pay? Need Experience?

Don’t worry, we have your back! At IIT WorkForce, we follow a 3-step journey. While our first-step focuses on extensive and rigorous training modules, our goal in the 2nd step is to build real-time project experience which can be furnished in your resume. However, the crucial last step is to have you placed in your ideal job!

Health Care Project

Banking Project

Telecom Project

CRM
Project

Supply Chain Project

Testimonial

What alumni say about us

This training gave me exactly what I needed to start my career in data engineering. The way complex topics like ETL pipelines and OLAP systems were explained made them much easier to understand. The practical SQL exercises were my favorite part.

I’ve taken a few online courses before, but this one stood out because of its hands-on approach. The module on data modeling and warehousing was really valuable I finally understood star vs snowflake schemas clearly. Highly recommend for beginners and professionals.

The course content is very well-structured. Starting from the basics of big data concepts to workflow design in ETL, everything was logically connected. I only wish there were more advanced case studies, but overall, it’s a solid foundation.

Coming from a software development background, I found this training really helpful in bridging the gap into data engineering. The SQL optimization tips and data pipeline design lessons were directly applicable in my current projects

Data Engineer Certification Training

4.8

Overview of Course

Live Projects for Experience

Key Features

Course Syllabus

Frequently Asked Questions

This course includes:

Expecting High Pay? Need Experience?

Testimonial

What alumni say about us

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