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NEW ETL AUTOMATION TESTER BATCH STARTS FROM 15 SEPT.2026

Quality & Testing · Classroom training

Learn EtL automation tester.Use it at work.

Master ETL Testing with real-time project scenarios covering Oracle SQL, Snowflake, Databricks, PySpark, Python, Pandas, Informatica PowerCenter, Full & Incremental Loads, SCD, Data Warehouse Testing, Source-to-Target Validation, and GitHub.

  • Real project work
  • Mock interviews
  • Placement guidance

SSS Academy · Course file

Enrolling

Quality & Testing

EtL automation tester Training

ET
Duration
4 months
Level
Beginner to Advanced
Format
In person
Location
Chikkodi

How you'll learn

A practical path, not a lecture marathon.

01—03
  1. 01

    Understand

    Build the right foundations

  2. 02

    Practise

    Work through real scenarios

  3. 03

    Prove it

    Complete a guided project

Not sure this is your track?Counselling is free.

Let's talk

What you'll cover

The flagship track behind most of our MNC placements.

  1. 01ETL Testing Concepts and Testing Life Cycle
  2. 02Oracle Database and SQL Fundamentals
  3. 03SQL DDL, DML, DCL and TCL Commands
  4. 04SQL Joins and Set Operators
  5. 05SQL Aggregate Functions and Grouping
  6. 06SQL Subqueries and Window Functions
  7. 07SQL-Based Data Validation
  8. 08Source-to-Target Mapping and Validation
  9. 09Full Load and Incremental Load Testing
  10. 10Data Warehouse Testing Concepts
  11. 11Fact and Dimension Tables
  12. 12Star Schema and Snowflake Schema
  13. 13Slowly Changing Dimensions (SCD Type 1 and Type 2)
  14. 14Data Quality and Data Validation Techniques
  15. 15Informatica PowerCenter and ETL Workflow Testing
  16. 16Snowflake Data Warehouse Testing
  17. 17Databricks Fundamentals
  18. 18PySpark for ETL Testing
  19. 19Python Fundamentals for ETL Testing
  20. 20Python Pandas for Data Validation
  21. 21Source-to-Target Reconciliation
  22. 22Record Count and Duplicate Validation
  23. 23Null, Data Type and Constraint Validation
  24. 24Transformation Rule Validation
  25. 25Primary Key and Foreign Key Validation
  26. 26Error Handling and Reject Record Validation
  27. 27ETL Job and Batch Validation
  28. 28Git and GitHub for ETL Testing
  29. 29Real-Time ETL Testing Project
  30. 30Mini Project

Included with every track

  • Real-time project scenarios
  • Interview preparation & mock interviews
  • Resume guidance
  • Placement assistance

Where this leads

Learners from our data and testing tracks describe the same foundations: practical work, clear explanations and focused interview preparation.

  • RAKSHITA J

    AUTOMATION TEST ENGINEER

  • RUTU H

    AUTOMATION TEST ENGINEER

  • PALLAVI G

    ETL AUTOMATION TESTER

All placement stories