Data Engineering Training in Chennai

  • Guidance in Building End to End Data Workflows Using Tools
  • Training Emphasizes Scalable Data Pipeline Design and Techniques
  • Hands-On Practice with Creating Efficient, Fault-Tolerant Data Pipelines.
  • Master Data Engineering Placement in Chennai with Error-Free Code
  • Includes Mock Interviews, Career Guidance with Data Engineering Course in Chennai.
Hands On   40+ Hrs
Projects   4 +
Placement Support   Lifetime Access
3K+

Start Your Learning Journey Today

⭐ Fees Starts From ₹ 14,499 ₹ 26,000
(Lowest price in chennai)

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Curriculam of Data Engineering Training in Chennai

Curriculam Designed By Experts

Expertly designed curriculum for future-ready professionals.

Industry Oriented Curriculum

An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company

  •  
    30+  Case Studies & Projects
  •  
    9+  Engaging Projects
  •  
    10+   Years Of Experience
  • What is Data Engineering?
  • Roles and Responsibilities of a Data Engineer
  • Data Engineering vs Data Science vs Data Analytics
  • Overview of Data Ecosystem (Big Data, Cloud, Streaming)
  • Key Tools and Technologies in Data Engineering
  • Data Engineering Lifecycle and Workflow
  • Basics of SQL – SELECT, INSERT, UPDATE, DELETE
  • Joins, Subqueries, Views, and Indexing
  • Advanced SQL Functions and Windowing
  • Data Modeling and Normalization
  • Stored Procedures and Triggers
  • Working with MySQL/PostgreSQL
  • Python Basics for Data Manipulation
  • Working with Pandas and NumPy
  • File Handling (CSV, JSON, XML
  • Error Handling and Logging
  • Data Warehouse vs Database
  • ETL vs ELT Process
  • Dimensional Modeling – Star and Snowflake Schema
  • Slowly Changing Dimensions (SCD Types)
  • Building ETL Pipelines using Tools (e.g., Talend, Apache NiFi)
  • Introduction to Data Lakes
  • Introduction to Big Data and Hadoop Ecosystem
  • HDFS – Hadoop Distributed File System
  • MapReduce Basics
  • Apache Hive – Data Warehousing on Hadoop
  • Apache Pig – Scripting Platform
  • Apache Sqoop – Data Transfer
  • Apache HBase – NoSQL Database
  • Hands-On Mini Project with Hadoop Tools
  • Introduction to Apache Spark and its Ecosystem
  • Spark Architecture and Execution Model
  • Working with Spark Core and RDDs
  • Spark SQL and DataFrames
  • Spark Streaming and Real-Time Processing
  • Introduction to Cloud in Data Engineering
  • Overview of AWS, Azure, and Google Cloud
  • AWS S3, EC2, RDS, and Redshift
  • Google BigQuery and Cloud Storage
  • Azure Data Factory and Synapse Analytics
  • Deploying Data Pipelines on the Cloud
  • Cost Optimization and Security Best Practices
  • Introduction to Data Orchestration
  • Apache Airflow – DAGs, Operators, and Tasks
  • Workflow Scheduling and Monitoring
  • Handling Failures and Retries
  • Event-Driven Pipelines
    • Dashboard integration or data export layer
    • Documentation and presentation of the project
    • Version control with Git and GitHub portfolio setup
    • Career guidance, resume building, and mock interviews
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    Data Engineering Training Projects

    Become a Data Engineering Expert With Practical and Engaging Projects.
    •  
      Practice essential Tools
    •  
      Designed by Industry experts
    •  
      Get Real-world Experience

    Sales Data Cleaning and Transformation

    Work with raw CSV files to clean, format, and transform sales data using Python and Pandas. Focus on removing duplicates, handling nulls, and standardizing column values.

    SQL-Based Retail Analytics Dashboard

    Use SQL to extract insights from a retail database, such as top-selling products and monthly trends. Design SQL queries involving joins, aggregations, and subqueries.

    Weather Data Ingestion Script

    Build a Python script to fetch weather data from a public API and store it in a database. Automate the process using a basic scheduler like Cron (Linux) or Task Scheduler (Windows).

    ETL Pipeline for E-Commerce Data

    Design a complete ETL pipeline that extracts e-commerce transaction logs, transforms them into structured format, and loads them into a data warehouse.

    Real-Time Twitter Sentiment Analysis

    Capture live tweets through Twitter’s API and push them into a Kafka stream. Consume data using Spark Streaming and analyze sentiment using basic NLP techniques. Store the processed results in a NoSQL database like MongoDB.

    Log Analysis Dashboard with Elasticsearch

    Collect and parse system/application logs using Logstash and send them to Elasticsearch. Visualize the metrics and trends in Kibana for monitoring purposes.

    Data Lake Architecture on AWS

    Design and implement a full-fledged data lake using AWS S3, Glue, Athena, and Lambda. Ingest structured and unstructured data, define schema catalog, and enable querying.

    Real-Time Fraud Detection System

    Develop a real-time fraud detection system using Spark Structured Streaming and Kafka. Ingest transactional data and apply rule-based and statistical checks on the fly.

    Distributed Data Pipeline

    Create a distributed ETL pipeline that runs across multiple containers using Docker and Airflow. Manage complex workflows with dependency handling, retries, and logging

  • Career Support

    Placement Assistance

    Exclusive access to ACTE Job portal

    Mock Interview Preparation

    1 on 1 Career Mentoring Sessions

    Career Oriented Sessions

    Resume & LinkedIn Profile Building

  • Key Features

    Practical Training

    Global Certifications

    Flexible Timing

    Trainer Support

    Study Material

    Placement Support

    Mock Interviews

    Resume Building

  • Upcoming Batches

    Weekdays
    13 - Apr - 2026
    08:00 AM (IST)
    Weekdays
    15 - Apr - 2026
    10:00 AM (IST)
    Weekends
    18 - Apr - 2026
    10:00 AM (IST)
    Weekends
    19 - Apr - 2026
    10:00 AM (IST)
    Can't find a batch you were looking for?
    INR ₹14499
    INR ₹26000
    OFF Expires in 23:51:55
  • What's included

    Convenient learning format

    📊 Free Aptitude and Technical Skills Training

    • Learn basic maths and logical thinking to solve problems easily.
    • Understand simple coding and technical concepts step by step.
    • Get ready for exams and interviews with regular practice.
    Dedicated career services

    🛠️ Hands-On Projects

    • Work on real-time projects to apply what you learn.
    • Build mini apps and tools daily to enhance your coding skills.
    • Gain practical experience just like in real jobs.
    Learn from the best

    🧠 AI Powered Self Interview Practice Portal

    • Practice interview questions with instant AI feedback.
    • Improve your answers by speaking and reviewing them.
    • Build confidence with real-time mock interview sessions.
    Learn from the best

    🎯 Interview Preparation For Freshers

    • Practice company-based interview questions.
    • Take online assessment tests to crack interviews
    • Practice confidently with real-world interview and project-based questions.
    Learn from the best

    🧪 LMS Online Learning Platform

    • Explore expert trainer videos and documents to boost your learning.
    • Study anytime with on-demand videos and detailed documents.
    • Quickly find topics with organized learning materials.
  • Top Placement Company is Now Hiring You!
    • Learning strategies that are appropriate and tailored to your company's requirements.
    • Live projects guided by instructors are a characteristic of the virtual learning environment.
    • The curriculum includes of full-day lectures, practical exercises, and case studies.
  • Data Engineering Training Overview

    Real-World Value of Data Engineering Training in Chennai

    Data Engineering Certification in Chennai equips learners with the essential skills to build, manage, and optimize large-scale data systems. From mastering data pipelines and cloud platforms to handling structured and unstructured datasets, the course prepares students for high-demand roles in data-driven organizations. Data Engineering Placement in Chennai being a hub for IT and analytics companies, this training opens doors to impactful careers in various industries such as finance, healthcare, retail, and technology.

    Industry Projects in Data Engineering Certification in Chennai

    • Retail Sales Data Warehouse: Build a complete data warehouse using star schema to analyze sales and customer behavior.
    • Real-Time Analytics for E-commerce: Stream customer activity data using Kafka and process it with Spark Streaming for actionable insights.
    • ETL Pipeline for Financial Data: Develop a robust ETL system that cleans and transforms financial data into a reporting database.
    • IoT Data Processing Pipeline: Handle real-time sensor data using cloud services (AWS or Azure) and store results in a NoSQL database.
    • Log Analytics System: Process server logs to detect anomalies and performance issues using PySpark and Airflow.

    What You Can Expect from Data Engineering Training in Chennai

    The Data Engineering course in Chennai offers a structured, hands-on learning experience tailored for both beginners and IT professionals. You’ll explore the entire data pipeline — from ingestion and transformation to storage and orchestration. The program includes tools like Apache Spark, Hadoop, Airflow, SQL, and cloud platforms such as AWS and GCP. With access to real-world projects and expert instructors, the training ensures you're industry-ready upon completion.

    How to Improve Your Skills in Data Engineering Course Certification

    • Practice with Real Datasets: Work on open-source data or Kaggle datasets to simulate real business challenges and gain confidence in pipeline building.
    • Contribute to GitHub Projects: Collaborate or create personal data engineering projects and maintain a GitHub portfolio to showcase your skills to employers.
    • Master One Tool at a Time: Focus deeply on tools like Apache Airflow, Spark, or AWS before moving on to others for a stronger grasp of their real-time use.
    • Take Mock Interviews: Prepare for technical rounds by participating in mock interviews focused on SQL, data modeling, and pipeline architecture.
    • Engage with the Data Engineering Community: Join local tech meetups, LinkedIn groups, or forums to learn from peers, get advice, and stay updated on trends.

    Career Opportunities After Data Engineering Placement in Chennai

    Upon completing Data Engineering Training in Chennai, you’ll be qualified for high-impact roles in major IT and analytics companies. Roles such as Data Engineer, Big Data Developer, ETL Developer, Cloud Data Engineer, and Data Pipeline Architect are in demand across MNCs, startups, and tech firms. Data Engineering Course in Chennai positions involve designing scalable systems, ensuring data quality, and optimizing data flows—making you a crucial part of any data-driven organization.

    Add-Ons Info

    Career Opportunities  After Data Engineering

    Data Analyst

    Analyze large data sets and generate insights using Excel functions and pivot tables. Build dashboards and visual reports to support decision-making. Work with cross-functional teams to identify trends and business gaps.

    MIS Executive

    Prepare daily, weekly, and monthly reports using advanced Excel tools. Use VLOOKUP, INDEX-MATCH, and macros to manage large datasets. Present key metrics to management for business reviews.

    Data Quality Engineer

    Focuses on validating, cleansing, and profiling data across pipelines. Uses tools like Great Expectations or Deequ to ensure accuracy and consistency. Implements monitoring and alerting for data anomalies.

    ETL Developer

    Focuses on Extract, Transform, Load processes for moving data between systems. Creates data workflows using ETL tools like Apache NiFi or Talend. Ensures data integrity, quality, and compliance throughout the pipeline.

    Big Data Engineer

    Specializes in handling massive datasets using technologies like Hadoop and Spark. Develops and manages systems for processing petabytes of data at scale. Optimizes storage, processing, and retrieval for performance.

    Cloud Data Engineer

    Builds and maintains cloud-based data platforms on AWS, Azure, or GCP. Implements data lakes, pipelines, and streaming solutions using cloud-native services. Ensures security, cost optimization, and scalability in cloud data environments.


    Skill to Master
    Data Pipeline Design
    SQL Mastery
    Python for Data Engineering
    Apache Spark
    Data Warehousing
    ETL/ELT Tools
    Kafka & Streaming
    Cloud Data Platforms
    Docker & DevOps Basics
    Orchestration with Airflow
    Charting and graphical representation
    Data Governance & Security
    Show More

    Tools to Master
    Apache Spark
    Apache Kafka
    Apache Airflow
    Apache NiFi
    SQL
    Python
    Hadoop Ecosystem
    Excel Add-ins
    AWS
    GCP
    Docker
    MongoDB
    Show More
    Our Instructor

    Learn from certified professionals who are currently working.

    instructor
    Training by

    Ram, having 12+ yrs of experience

    Specialized in:

    Apache Spark, Apache Airflow.

    Note: Rohit is widely respected for his expertise in cloud data platforms and real-time data pipelines. He’s known for simplifying complex architecture patterns.

    Premium Training at Best Price

    Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

    Call Course Advisor
  • What Makes ACTE Training Different?

    Feature

    ACTE Technologies

    Other Institutes

    Affordable Fees

    Competitive Pricing With Flexible Payment Options.

    Higher Fees With Limited Payment Options.

    Industry Experts

    Well Experienced Trainer From a Relevant Field With Practical Training

    Theoretical Class With Limited Practical

    Updated Syllabus

    Updated and Industry-relevant Course Curriculum With Hands-on Learning.

    Outdated Curriculum With Limited Practical Training.

    Hands-on projects

    Real-world Projects With Live Case Studies and Collaboration With Companies.

    Basic Projects With Limited Real-world Application.

    Certification

    Industry-recognized Certifications With Global Validity.

    Basic Certifications With Limited Recognition.

    Placement Support

    Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

    Basic Placement Support

    Industry Partnerships

    Strong Ties With Top Tech Companies for Internships and Placements

    No Partnerships, Limited Opportunities

    Batch Size

    Small Batch Sizes for Personalized Attention.

    Large Batch Sizes With Limited Individual Focus.

    LMS Features

    Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

    No LMS Features or Perks.

    Training Support

    Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

    Limited Mentor Support and No After-hours Assistance.

  • Job Assistant Program

    We are proud to have participated in more than 40,000 career transfers globally.

    Data Engineering Certification

    Certificate
    GET A SAMPLE CERTIFICATE
  • Opens up global career opportunities in manufacturing, retail, logistics, and IT sectors
  • Provides practical exposure to real-world tools and technologies used in SCM
  • Prepares you for industry-recognized certifications to validate your expertise
  • Opens doors to roles in top MNCs and startups
  • Increases employability with certifications and project experience.
  • Helps transition from data analyst/software engineer to data engineer
  • A Data Engineering Course Certification guarantee a job, but it significantly improves your chances. Recruiters value candidates who combine certifications with practical experience, project exposure, and strong problem-solving skills.

    Most Data Engineering Training Course exams (like Google Cloud Data Engineer, AWS Certified Data Analytics, or Databricks DE) do not require formal prerequisites, but having foundational knowledge is essential.

  • Master Core Concepts
  • Practice with Tools
  • Take Mock Exams
  • Update Resume
  • Yes, most Data Engineering certification exams can be taken online. Platforms like Google Cloud, AWS, Microsoft, and Databricks allow remote proctored exams. You’ll need a stable internet connection, a webcam, and a quiet environment.

  • Basic knowledge of Python or another programming language
  • Familiarity with SQL and database concepts
  • Understanding of data formats (CSV, JSON, XML)
  • Absolutely. Data engineering is one of the fastest-growing and highest-paying domains in tech today. Companies rely on data engineers to build reliable, scalable systems for analytics and decision-making.

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    Frequently Asked Questions

    • Yes, most reputable institutes in Chennai offer free career counseling sessions before enrollment. These sessions help you to Understand if data engineering aligns with your career goals.
    • Instructor-led live classes
    • Real-time project work
    • Assignments and mini-projects
    • Video tutorials
    • Tech giants
    • Product startups
    • Data & Analytics Firms
    • BFSI and E-commerce
    • Yes, most Data Engineering Course Certification include preparation and guidance for industry certifications, such as Google Cloud Professional Data Engineer
    • Absolutely. In fact, including live project work in your portfolio is highly recommended. You'll be working on real-time data pipeline projects using tools like Apache Spark, Airflow, and cloud platforms
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    • Flexibility: Online, weekends & more.
    • Hands-on: Projects & practical exercises.
    • Placement support: Resume & interview help.
    • Lifelong learning: Valuable & adaptable skills.
    • Full curriculum: Foundational & advanced concepts.
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