Skip to content
AI & Cloud

Data Engineering (Azure)Build data pipelines on Microsoft Azure

Design and build cloud data pipelines with Azure Data Factory, Data Lake, Databricks and Synapse.

View Curriculum

Course overview

Data engineers build the pipelines that move, clean and organise data so it can be analysed. Azure is one of the leading cloud platforms for this work.

This course covers data engineering concepts and hands-on Azure services — ingesting data with Azure Data Factory, storing it in Azure Data Lake, transforming it with Databricks and PySpark, and serving it for analytics.

Who is this course for?

  • Students with SQL and Python basics who want a data engineering career
  • Data analysts moving into engineering
  • Developers moving into cloud data roles

Prerequisites

  • Working knowledge of SQL
  • Basic Python

What you will learn

  • Explain ETL, ELT and modern data architecture
  • Set up storage in Azure Data Lake
  • Build and schedule Azure Data Factory pipelines
  • Transform data with Databricks and PySpark
  • Organise data with the medallion architecture
  • Serve analytics-ready data to Power BI

Module structure

  1. 01Data Engineering Foundations
    • Data engineering lifecycle
    • ETL vs ELT
    • Batch vs streaming
  2. 02Azure Fundamentals
    • Azure portal and resource groups
    • Storage accounts
    • Security and access basics
  3. 03Azure Data Lake
    • Data lake architecture
    • Medallion (bronze/silver/gold) layers
    • File formats: CSV, Parquet, Delta
  4. 04Azure Data Factory
    • Pipelines and activities
    • Linked services and datasets
    • Triggers and parameterisation
  5. 05Databricks & PySpark
    • Spark fundamentals
    • PySpark transformations
    • Delta Lake
  6. 06Serving & Operations
    • Azure Synapse Analytics overview
    • Connecting Power BI
    • Monitoring and best practices

Module sequence and depth may be tailored to the batch level. Detailed syllabus available on enquiry.

Hands-on learning

  • End-to-end ingestion pipeline
  • Medallion architecture build
  • PySpark transformation notebooks
  • Pipeline monitoring exercise

Tools & technologies

  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure Databricks
  • PySpark
  • Azure Synapse
  • SQL

Learning outcomes

  • 01

    Explain modern data engineering architecture

  • 02

    Build and orchestrate pipelines in Azure Data Factory

  • 03

    Transform data at scale with PySpark

  • 04

    Prepare analytics-ready data for reporting

Duration, mode, batches & certificate

Duration

Shared on enquiry

Current batch schedule shared on enquiry.

Training mode

Online / Offline / Hybrid

Availability varies by batch.

Batches

Weekday & Weekend

Choose weekday or weekend (Sat & Sun) classes.

Certificate

Completion certificate

Issued on completing programme requirements.

FAQ

Data Engineering (Azure) — FAQs

What is the batch size for Data Engineering (Azure)?

Batches are kept small, so each learner gets focused guidance and time for questions.

Will I receive a certificate?

Yes. Learners who complete the programme requirements receive a verifiable course completion certificate from Sarng Infotech.

What is the duration and fee?

Batch schedules and fees are shared on enquiry, as they depend on the mode and batch you choose. Send us an enquiry and our team will share the current details.

Explore more courses

Ready to start Data Engineering (Azure)?

Small batches. Better learning. Talk to us about the next batch.

Explore Courses