Technology Training · Data & Analytics
Data Engineering Training
Design and build data pipelines — ETL/ELT, data warehousing, orchestration and cloud data platforms.
- Python
- SQL
- Apache Airflow
- Apache Spark
Course overview
Data Engineering Training Overview
Data Engineering training teaches you to build reliable systems that move, transform and store data for analytics and machine learning.
You design data models and warehouses, build ETL/ELT pipelines with Python and SQL, orchestrate workflows, handle batch and streaming data, and apply data quality and governance practices on cloud platforms.
Course syllabus
What You'll Learn in Data Engineering Training
- Role of the data engineer
- Advanced SQL for data engineering
- Python for data pipelines
- Data modelling — star and snowflake schemas
- Data warehouses and data lakes
- ETL and ELT pipeline design
- Workflow orchestration with Apache Airflow
- Batch and streaming processing
- Data quality, testing and monitoring
- Cloud data platforms and services
Tools & technologies
Tools & Technologies Covered
- Python
- SQL
- Apache Airflow
- Apache Spark
- dbt
- Apache Kafka
- Cloud data warehouses
Who should join?
Who Should Join Data Engineering Training?
Developers
Move into one of the most in-demand data roles.
Data analysts
Build the pipelines behind your reports.
Database & ETL professionals
Modernise your skills for cloud data platforms.
Graduates
Start a data career on the engineering side.
Prerequisites: Basic Python and SQL knowledge are recommended.
Career paths
Career Opportunities After Data Engineering Training
Common roles for professionals with Data Engineering skills:
- 01Data Engineer
- 02ETL Developer
- 03Analytics Engineer
- 04Data Platform Engineer
- 05Cloud Data Engineer
Career outcomes depend on your background, practice and the job market. We focus on practical skills and do not promise guaranteed placement.
FAQ
Data Engineering: Frequently Asked Questions
What will I learn in the Data Engineering course?
The Data Engineering training covers role of the data engineer, advanced SQL for data engineering, Python for data pipelines, data modelling — star and snowflake schemas, data warehouses and data lakes, ETL and ELT pipeline design, Workflow orchestration with Apache Airflow, batch and streaming processing, data quality, testing and monitoring and Cloud data platforms and services.
Which tools are covered in Data Engineering training?
You will work with Python, SQL, Apache Airflow, Apache Spark, dbt, Apache Kafka and Cloud data warehouses.
Who can join the Data Engineering course?
The course suits developers, data analysts, database & etl professionals and graduates. Basic Python and SQL knowledge are recommended.
What jobs can I apply for after learning Data Engineering?
Common roles include Data Engineer, ETL Developer, Analytics Engineer, Data Platform Engineer and Cloud Data Engineer. Career outcomes depend on your background, practice and the job market.
How do I get the Data Engineering syllabus, duration, fees and batch details?
Contact us on WhatsApp or through the enquiry form and our team will share the current Data Engineering syllabus, course duration, fees and upcoming batch details.
Keep Exploring
Related Data & Analytics courses
Ready to Start Data Engineering Training?
Talk to our team about the Data Engineering syllabus, course duration, fees and upcoming batch details.
Data Engineering course | data engineer training | ETL course | Airflow training