ETL Testing
The ETL Testing course is crafted to build expertise in validating data integration, transformation, and loading processes in Data Warehousing environments. Learners will gain proficiency in SQL, ETL tools, data validation, reporting, and real-time scenario testing. Ideal for aspiring Data Testers, QA Engineers, and professionals moving into data-centric testing roles.
Days
Course Duration
Year
Placement Support
+
Students Placed
ETL Testing – Detailed Course Content
This project-driven course transforms you into a skilled ETL/Data Warehouse Tester. You’ll learn data warehousing concepts, hands-on SQL, ETL workflow validation, data migration, reconciliation, BI testing, and defect tracking. The course includes real-time scenarios with tools like Informatica, Talend, SSIS, and reporting validation using Power BI/Tableau.
Tech Stack Covered (With Description):
🔹 Programming & Query Language:
SQL (Structured Query Language)
Master SQL queries for data validation, joins, aggregations, subqueries, and complex data comparisons for ETL pipelines.
🔹 ETL Testing Concepts:
Data Warehousing Basics
Understand key DWH concepts – star/snowflake schemas, facts, dimensions, staging vs target layers.
ETL Testing Lifecycle
Cover end-to-end ETL test stages: requirements, test planning, test case design, data mapping, execution, and validation.
Data Comparison & Reconciliation
Use SQL scripts or tools to compare source vs target data for completeness and transformation accuracy.
🔹 Tools & Frameworks:
ETL Tools (Exposure):
Informatica
Talend
SSIS (SQL Server Integration Services)
Hands-on exposure to workflows, jobs, and testing data pipelines in enterprise environments.
Reporting Tools (Validation Focus):
Power BI
Tableau
Learn how to validate report outputs against source data and ensure correct metrics/aggregations.
Automation (Optional Module):
Python + Pandas – For advanced data validation scripting and automation.
Selenium (basic) – To automate report UI validation.
🔹 Test Management & CI/CD:
JIRA – Bug tracking and test cycle management.
Git & GitHub – Version control and collaborative test script sharing.
Jenkins (Optional) – Schedule and run automated data tests.
Excel – Test data management, SQL result comparison, and reporting.
DBeaver / SQL Developer / SSMS – Database IDEs for writing and validating SQL queries.
Job Roles You Can Apply For After completing this course, you’ll be equipped to apply for the following roles in the IT industry:
- ETL Tester
- Data Warehouse Tester
- BI QA Analyst
- SQL Tester
- QA Engineer – Data Validation
- Data Migration Tester
- Manual cum ETL Tester
For Freshers (0–1 year experience):
Job Role
- ETL Tester
- SQL Tester
Average Salary (INR)
- ₹3.0 LPA – ₹5.0 LPA
- ₹3.5 LPA – ₹5.5 LPA
Top Range (INR)
- Up to ₹6.5 LPA
- Up to ₹7.0 LPA
Mid-Level (1–3 years experience):
Job Role
- BI QA Analyst
- Data QA Engineer
Average Salary (INR)
- ₹5.5 LPA – ₹8.0 LPA
- ₹6.0 LPA – ₹9.0 LPA
Top Range (INR)
- Up to ₹10 LPA
- Up to ₹11 LPA
Senior Level (4+ years experience):
Job Role
- Lead Data QA
- ETL Automation Architect
Average Salary (INR)
- ₹9.0 LPA – ₹14.0 LPA
- ₹12.0 LPA – ₹18.0 LPA
Top Range (INR)
- ₹18 LPA+
- ₹20 LPA+
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