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Data Engineering · 2 tracks

Data Engineering course: choose Azure or AWS

Same foundations, same live batches, same placement support until you're hired. The only difference is the cloud you build pipelines on. Pick the one your target companies use.

Book a free assessment Compare the two tracks ↓

Free, 30 minutes. Not sure which cloud? We recommend one from your role and target companies.

Which one fits you?

Pick Azure if

You become: Azure Data Engineer

3 months
  • Your company or the ones you are targeting run on Microsoft: Office 365, SQL Server, Power BI
  • You want Databricks and Synapse on your resume
  • You are moving from a .NET, SQL Server or support role on Microsoft systems
Azure Data FactoryAzure DatabricksPySparkDelta LakeADLS Gen2Unity CatalogAzure SynapseAzure DevOps

Target salary ₹14L–₹35L

See the Azure syllabus → Brochure (PDF, 436 KB)

Pick AWS if

You become: AWS Data Engineer

3 months
  • The companies you are targeting already run on AWS
  • You want S3, Glue, Redshift and streaming with Kinesis on your resume
  • You already work with AWS services in your current role
AWS GluePySparkAmazon S3RedshiftEMRAthenaLambdaKinesisStep FunctionsAirflow

Target salary ₹14L–₹35L

See the AWS syllabus → Brochure (PDF, 437 KB)

Azure vs AWS, side by side

  • You become

    Azure
    Azure Data Engineer
    AWS
    AWS Data Engineer

  • Main tools

    Azure
    Azure Data Factory, Azure Databricks, PySpark
    AWS
    AWS Glue, PySpark, Amazon S3

  • Target salary

    Azure
    ₹14L–₹35L
    AWS
    ₹14L–₹35L

  • Duration

    Azure
    3 months
    AWS
    3 months

  • Mode

    Azure
    Online + Offline (Bengaluru)
    AWS
    Online + Offline (Bengaluru)

  • Projects you build

    Azure
    3
    AWS
    3

  • Same 9 foundation topics (SQL, Python, modelling…)

    Azure
    AWS

  • Unlimited mock interviews

    Azure
    AWS

  • Placement support until hired

    Azure
    AWS
See the 9 topics both tracks share

Python for data engineering

Core Python: data types, functions, modules and error handling · Files, JSON, CSV and Parquet; calling REST APIs · pandas for cleaning, joining and reshaping data

SQL for data engineering

Joins, GROUP BY, subqueries and CTEs · Window functions: ranking, running totals, de-duplication · Reading query plans, indexes and partition pruning · Data modelling: star schema, slowly changing dimensions

Databricks and PySpark

PySpark DataFrames, partitioning and shuffles

Serving and production

Interview system design and portfolio review

Not sure which cloud? We'll recommend one on a free call.

  • Vikram Shetty: Java Developer → AWS Data Engineer, Swiggy, 3 months after the first call
  • Arun Kumar: Support Engineer → Azure Data Engineer, Maersk, 3 months after the first call
Book a free assessment

Choosing a track

Azure or AWS: which should I choose?

Choose the cloud the companies you want to join already use. Teams on the Microsoft stack usually hire for Azure; teams already on AWS hire for AWS. If you are not sure, tell us your current role and target companies on the free assessment call and we will recommend one.

Is most of the course the same?

Yes. Both tracks start with the same foundations (9 shared topics such as SQL, Python and data modelling) and both run 3 months with the same live batches, projects, unlimited mock interviews and placement support. What changes is the cloud tools you build with.

Can I switch from one to the other later?

The core skills (SQL, PySpark, data modelling and pipeline design) carry over between clouds, so moving later means learning a new set of services rather than starting again.

Free assessment

Your next role starts with one call.

Not sure which track fits you? Book a free 30-minute assessment.

  • Talk to a real counselloryour target role and timeline

  • Get a recommended trackmatched to you, not your title

  • Know the feemost of it is paid after you’re placed

Free · 30-minute call

Book your free assessment

Tell us where you are today and we'll map the right track for you.

Book your assessment WhatsApp +91 81974 25757