Next Live Cohort Starts This Monday • High Demand Data Quality Engineering Track

Become an Enterprise-Grade
ETL Testing & Data QA Engineer

Master Data Warehouse validation, complex SQL transformations, Source-to-Target (S2T) mapping, Snowflake, BigQuery, and Python automation testing (PyTest) for enterprise data pipelines.

4.9 / 5.0 (3,410+ Placed Data Testers)

Real-World Snowflake & BigQuery Labs

Cohort Duration 14 Weeks Live

Testing Focus Cloud & Automation

Placement Assistance 100% Guaranteed Help

View Full Syllabus

₹25,000 ₹38,000

No-Cost EMI ₹2,083/mo

100% Placement Assistance & Live Project Repositories

70+ Hours of Practical Live Data Validation Labs
Advanced SQL Mining, Joins, Window Functions & CTEs
Cloud Lakehouse Testing (Snowflake + Google BigQuery)
Automated PyTest Data Quality Framework Development
10+ Mock Technical Interviews with Lead Data Architects

Instant Admission • UPI / EMI / Credit Cards Accepted

14-Week Comprehensive Syllabus

Data Quality & ETL Testing Curriculum

Designed to help you crack technical QA rounds for Data Engineer in Test (SDET), ETL Tester, and Big Data QA roles.

Module 1: Data Warehousing Fundamentals & ETL Test Architecture Weeks 1-3 • 15 Hours • DWH Concepts, Schemas & Lifecycle

OLTP vs OLAP Systems & Business Intelligence (BI) Ecosystem
Star Schema, Snowflake Schema, Fact Tables vs Dimension Tables
Slowly Changing Dimensions (SCD Type 1, Type 2, Type 3) Testing
Source-to-Target (S2T) Mapping Document Deep Dive
ETL Test Lifecycle: Test Planning, Test Case Design, Execution & Bug Tracking
JIRA & Confluence for ETL Test Management & Defect Logging

Hands-on Project: Design a comprehensive 100+ Test Case Suite for an Enterprise Telecom Data Warehouse.

Module 2: Advanced SQL for Data Completeness, Quality & Reconciliation Weeks 4-7 • 20 Hours • Mining, Minus Queries & Integrity

Data Completeness & Record Count Verification (Source vs Staging vs Target)
Set Operators: UNION, UNION ALL, INTERSECT, MINUS / EXCEPT queries
Multi-Table Complex Joins (INNER, LEFT, RIGHT, FULL OUTER, CROSS, SELF)
Duplicate Detection: GROUP BY, HAVING, ROW_NUMBER(), DENSE_RANK()
Data Type, Nullability, Constraint & Foreign Key Referential Integrity Testing
String & Date Functions: Substring, Coalesce, Date Diff, Regex Matching

Hands-on Project: Write complex SQL reconciliation queries to audit a 5-million row Banking Transaction dataset.

Module 3: Cloud Data Warehouse Testing (Snowflake, BigQuery & Redshift) Weeks 8-11 • 20 Hours • Cloud Architecture & ETL Pipelines

Snowflake Architecture: Micro-partitions, Zero-Copy Cloning, Time Travel Validation
Testing Snowpipe & Streaming Data Ingestion Pipelines
Google BigQuery Partitioned & Clustered Table Data Validation
Semi-Structured Data Testing: JSON, Parquet, Avro & XML querying
BI Report Validation: Power BI / Tableau Data Reconciliation against Data Marts
Performance Testing for High-Volume Query Optimization

Hands-on Project: Validate a real-time Snowflake Cloud Data Lakehouse with Time-Travel auditing.

Module 4: Python Data QA Automation, PyTest & CI/CD Pipeline Integration Weeks 12-14 • 15 Hours • Automation Frameworks & MNC Prep

Python for Data Testing: Pandas DataFrames, NumPy & SQLAlchemy
Automated Data Assertion Framework using PyTest & HTML Reports
Great Expectations: Production Data Quality & Profiling Suite
CI/CD Pipeline Testing: Triggering Data QA via Jenkins & GitHub Actions
Real-time Mock Interviews & Scenario-based ETL Testing Problem Solving
Placement Drives: Resume keywords, LinkedIn makeover & direct recruiter calls

Hands-on Project: Build an Automated Python PyTest Framework that validates source-target delta files in Jenkins.

Industry Tech Stack

Tools & Frameworks You Will Master

Equip yourself with the leading data quality, warehousing, and automation testing technologies.

❄️

Snowflake

🗄️

Advanced SQL

🔍

BigQuery

🧪

PyTest

🐼

Pandas

⚙️

Jenkins

Career Acceleration

Lucrative Career Paths in Data Quality & QA

Data is the lifeblood of every modern enterprise. Skilled ETL and Data QA engineers enjoy rapid career growth and high salary packages.

₹6.0 - 20 LPA Average CTC for ETL & Data QA Engineers

18,000+ Active Data QA Job Openings in India

80% Average Salary Hike for Certified Alumni

Top IT Companies & Consulting Leaders Hiring Our Graduates

Deloitte

Capgemini

TCS

Cognizant

Infosys

Barclays

LTIMindtree

PwC

Industry Credential

Become a Certified ETL & Data QA Specialist

Receive your verifiable Certificate of Data Quality & ETL Automation Engineering. Display your skills to recruiters with validated project credentials.

Certified by FinVeda Master Minds Private Limited
Comprehensive coverage of Cloud Data Lakes & Automation
Unique QR verification code & online portfolio badge
Direct referral access to top IT services & product firms

🧪

CERTIFICATE OF DATA QA EXCELLENCE

Awarded with distinction to

[Your Full Name]

for successfully completing the 14-Week Intensive Program in
ETL Testing, Cloud Data Warehousing & Data QA Automation

ID: FMM-ETL-2026-XXXX VERIFIED QA EXPERT

Clarifications

Frequently Asked Questions

Answers to common questions regarding course prerequisites, testing tools, and job profiles.

How is ETL Testing different from Manual / Selenium Testing?

While UI/Selenium testing focuses on front-end web interfaces, ETL Testing focuses on the backend data layer — validating that millions of data records migrating from multiple sources into Cloud Data Warehouses (Snowflake/BigQuery) are accurate, complete, duplicate-free, and correctly transformed without business logic errors.

Do I need prior testing or database knowledge?

No prior experience is necessary. We start from basic database concepts and SQL queries, before advancing into complex ETL workflows, cloud warehouses, and Python automation.

Can I pay in EMIs?

Yes! You can pay via credit/debit card No-Cost EMI options starting at ₹2,083/month, or use instant UPI payment options.

Become an Enterprise-Grade ETL Testing & Data QA Engineer