JOB Openings are Available , New Batches Starting , Demo & Free Class Available for AWS , DevOps, Python Power Bi, Full Stack Training ,SAP Training , Cloud Training , Job Oriented Traning Spoken English , Basic Computer

100% Job Guaranteed Program* ( Interview preparation , JOB Opening , Resume preparation , Documentation Support , Job Referral,
Call Us Now : 7353199130 / 7353752513 )

Latest Technologies

Data Engineer  Training 👉 Earn 9LPA to 30LPA Salary

Welcome to the Data Engineering course. This program is designed to equip you with essential skills to design, build, and manage robust data infrastructure. You’ll learn about data pipelines, ETL processes, database management, and niche big data technologies and tools. Through hands-on projects, you’ll gain practical experience in transforming raw data into actionable insights. Whether you’re a beginner or looking to enhance your skills, this course will provide a solid foundation in data engineering principles, preparing you for a rewarding career in the rapidly evolving data landscape. Let’s get started!
4.9 (500+ user ratings)
4.9/5

Syllabus: Data Engineering Training

This syllabus provides a comprehensive overview of the key concepts and practical skills needed for a Data Engineering Training course. Each module is designed to progressively build knowledge and skills, culminating in a capstone project to showcase proficiency in applying Data Engineering  techniques to solve real-world problems.

Course content

  1. Python for data engineering
    • Introduction to Jupyter Notebook
    • Variables, Data Types and Operators
    • Control flow and loops
    • Functions and arguments in python
    • Object oriented programming with python
    • Error and Exception handling
    • List comprehension
  2. DBMS and SQL fundamentals
    • Introduction to DBMS
    • Data Modelling and Normalization
    • Introduction to SQL
    • SQL commands and categories
    • Working with DQL commands-part 1
    • Working with DQL commands-part 2
    • Working with DQL commands-part 3
    • Working with DDL and DML
    • Advanced SQL concepts
  3. Linux fundamentals
    • Introduction to Linux and Shell
    • Working with basic Linux commands – Part 1
    • Working with basic Linux commands – Part 2
    • Vi Editor
    • SSH and connecting to Linux using SSH
  1. Introduction to Data Warehouse
  2. Data warehouse architecture
  3. Dimensional Modelling
  4. Facts and Dimensional Tables
  5. Introduction to SCD
  6. ETL and ELT process
  7. ETL process and tools
  8. Introduction to Hive, Modern data warehouses and Snowflake
  1. Introduction to distributed systems and history
  2. Introduction to Hadoop, HDFS and MapReduce
  3. Hive for data processing
  4. Introduction to Apache Spark
  5. Spark Architecture and clusters
  6. Spark web UI
  7. Setting up spark with python
  8. Spark basics and RDD
  9. Introduction to SparkSQL and functions
  10. Dataframe, Dataset and RDD’s
  11. Dataframe fundamentals
  12. Dataframe ETL
  13. Performance optimization and monitoring in Spark
  14. Memory utilization in Spark
  15. Hands-On with Spark
  1. Introduction to Airflow and data orchestration
  2. Airflow Architecture and concepts
  3. Getting familiar with Airflow UI
  4. Working with DAG part 1
  5. Working with DAG part 2
  6. Databases and executors in Airflow
  7. Sensor in Airflow
  8. Airflow advanced concepts
  9. Hands-On with Airflow
  1. Introduction to Snowflake
  2. Setting up snowflake account
  3. Snowflake architecture
  4. Tables and Views in snowflake
  5. Working with snowflake tables
  6. Working with Views in snowflake
  7. Loading and copying option in Snowflake
  8. DQL commands and options
  1. Introduction to cloud computing
  2. IaaS, PaaS, SaaS
  3. Cloud Infrastructure
  4. VM and Cluster in Cloud
  5. Storage and database in Cloud
  6. Getting familiar with Leading cloud providers
  7. Major services provided by cloud providers
  1. Introduction to Docker and Containerization
  2. Container Commands
  3. Introduction to Image and building Image
  4. Docker in production
  5. Introduction to Kubernetes
  1. Covid-19 Data Analysis
  2. Code Migration from Hive to Snowflake using Spark Batch Processing
  1. Mock Interview
  2. Commonly asked questions
  3. Tackling DSA problems
SDLC Training Trainer's Feedback

Senior Data Engineer Trainer cum Mentor .

This course includes:
share it :

Real-Time Projects

Our SDLC training program includes real-time projects that simulate actual industry scenarios.

Unlimited Access

We offer unlimited access to our course materials, including video tutorials, interactive exercises, and comprehensive documentation.

24/7 Learning Assistance

Our dedicated support team is available around the clock to assist you with any questions or issues you might encounter.

Track Growth

Our training program includes tools and assessments to track your growth and performance throughout the course.

Enquire Now

Youtube Subscribers
0 +
Professional Mentors
0 +
Students
0 +
Company Placements
0 +

Our students placed in Multiple Companies

Testimonials

These reviews highlight various aspects of your training program, emphasizing the practical application, support, and value that students experience.