Best Data Engineering Course Training Institute in Chennai | Uniq Jobs

Become an industry-ready Data Engineer with UNIQ Technologies. This course covers Python, SQL, Big Data, Hadoop, Spark, Data Warehousing, ETL Pipelines, Cloud Data Engineering, and Real-Time Streaming Systems. Ideal for freshers, software developers, and professionals looking to transition into Data Engineering roles.

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4.8/5 · 3k+ learners

Placement support

Beginner friendly

Job Opportunities After Data Engineering Course

Data Engineering is one of the highest-demand careers globally. After completing this course, you can apply for roles such as:

Data Engineer

Big Data Engineer

ETL Developer

Cloud Data Engineer (AWS/Azure/GCP)

Data Pipeline Engineer

Database Engineer

Business Intelligence Engineer

Analytics Engineer

Top Hiring Companies

Why Choose UNIQ?

Complete Data Engineering Curriculum

Covers Python, SQL, Hadoop, Spark, Kafka, Airflow, Data Pipelines, Cloud Data Engineering & more.

Real-Time Big Data Projects

Work on Hadoop clusters, Spark transformations, Kafka streaming, and real ETL workflows.

100% Placement Support

Get interview leads, mock interviews, and resume support until you get placed.

Industry Tools & Platforms

Hands-on training with AWS S3, Glue, Lambda, Azure Data Factory, GCP BigQuery, Databricks, and Airflow.

Hands-On Learning

Every topic includes labs that simulate real industry data engineering environments.

Expert Mentors

Learn from Senior Data Engineers working in top MNCs.

Flexible Schedules

Weekend and weekday batches available for all learners.

Recognized Certification

Receive a Data Engineering Internship Certification accepted by major IT companies.

What You’ll Learn

Explore the 100-days roadmap that turns you into a Full Stack Developer. Master the foundations first, then move into backend, APIs, frontend frameworks, databases, and deployment.

01
Module 01 · Python Programming
16 topics
- Introduction to Python programming basics
- Variables and Data types
- Operators
- Control flow: if statements and loops
- Functions and modules in Python
- String manipulation and list comprehension in Python
- File handling: reading from and writing to files
- Exception handling and debugging techniques
- Object-oriented programming concepts
- Classes and Objects
- Inheritance
- Libraries and package management using pip and virtual environments
- Working with data structures: dictionaries, sets, tuples
- Functional programming concepts: lambda functions, map, filter, reduce
- Regular expressions: pattern matching
- Python's standard library modules: os, datetime
02
Module 02 · SQL and Databases
5 topics
- Basic SQL queries: SELECT, INSERT, UPDATE, DELETE
- Advanced SQL queries: JOINs, Subqueries
- Database design principles and normalization
- Introduction to Snowflake platform and architecture
- Basics of ETL (Extract, Transform, Load) processes
03
Module 03 · Data Manipulation and Analysis
3 topics
- Advanced Pandas techniques: grouping, pivoting, merging
- Data cleaning and preprocessing techniques
- Working with unstructured data: JSON, XML using Python and Pandas
04
Module 04 · REST API Development
3 topics
- Understanding REST architecture and principles
- Building RESTful APIs using Flask framework in Python
- Consuming and integrating REST APIs into ETL pipelines
05
Module 05 · Advanced Topics and Cloud
6 topics
- Advanced SQL concepts: window functions, indexes
- Advanced Python topics: decorators, generators, concurrency
- Cloud concepts: Cloud, SaaS, AWS
- IAM, S3, EC2
- Comprehensive review and Q&A sessions
- Preparation for certification or advanced projects

Frequently Asked Questions

The Data Engineering course teaches you to build large-scale data pipelines using Python, SQL, Hadoop, Spark, Kafka, and cloud platforms like AWS, Azure, and GCP.

Basic programming knowledge helps, but the course starts from scratch, covering Python and SQL fundamentals.

Python, SQL, Hadoop, Spark, Kafka, Airflow, Databricks, AWS S3, Redshift, Glue, Lambda, Azure Data Factory, BigQuery, and ETL tools.

Absolutely! Many companies hire freshers for junior Data Engineer and ETL Developer roles.

Yes! We provide 100% placement support with resume building, mock interviews, and daily job updates.

Yes, you receive both Course Completion and Internship Certificates recognized by IT companies.

Yes! You will work on Hadoop, Spark data processing, Kafka streaming, data warehousing, and cloud pipelines.

Yes! Even non-IT graduates can become Data Engineers with the right training.

Yes, both modes are available and switching between them is free.

The duration is 4–6 months depending on weekday/weekend batches.