1. Testing Fundamentals (Week 1)
- •Role of testing in software quality and delivery
- •SDLC and STLC with verification and validation
- •Static testing, dynamic testing, and QA terminology
- •Testing across Waterfall, Agile, and DevOps contexts
Learn ETL testing training in Marathahalli with practical SQL Server, Oracle DB, MySQL, PostgreSQL, Jira, HP ALM, TestRail, Jenkins, Git, Unix, Linux, Shell Scripting, Python, Apache Hive, Apache Spark, Snowflake, Amazon Redshift, Google BigQuery, and ETL tool awareness across Informatica PowerCenter, Datastage, and Talend. You will work through testing fundamentals, database validation, API-aware QA, and project workflow the way ETL and data QA teams actually work.
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5.2 LPA • ServiceNow Developer
5.7 LPA • Android Developer
6 LPA • Android Developer
7 LPA • Android Developer
9 LPA • AI Engineer
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8 LPA • Machine Learning Engineer
4 LPA • AI Engineer
4 LPA • Associate Product Manager
3.45 LPA • Network Engineer
3.75 LPA • NOC Support Engineer
4.4 LPA • Network Administrator
9 LPA • AI Engineer
12 LPA • Data Engineer
16 LPA • Data Engineer
5.1 LPA • RPA Developer
7.83 LPA • RPA Business Analyst
5.55 LPA • Data Scientist
40 LPA • AWS Devops Engineer
25 LPA • Salesforce Developer
30 LPA • Project Administrator
20 LPA • Digital Marketing Specialist
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8 LPA • Digital Marketing Analyst
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Learning ETL testing is useful only when you can show employers that you can validate data, handle defects, and explain your test decisions clearly. Inventateq supports that by connecting the course work to the roles people actually apply for in Bangalore, from Junior QA Analyst and ETL Tester to Data QA Engineer and Data Warehouse Tester.
Bangalore hires for ETL testing across data engineering teams, QA teams, data warehouse projects, and enterprise application support. Pay grows as you move from manual validation and SQL checks into data QA ownership, test leadership, and ETL workflow responsibility.
ETL Testing Average Salary by Experience
Bangalore hires for ETL testing across data engineering teams, QA teams, data warehouse projects, and enterprise application support. Pay grows as you move from manual validation and SQL checks into data QA ownership, test leadership, and ETL workflow responsibility.
ETL Testing Average Salary by Experience
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Data Engineering @ Accenture - 12 LPA
Junior Accountant @ Fortis - 8 LPA
SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Angular Developer @ Capgemini - 15 LPA
Data Analyst @ Amazon - 25 LPA
Java Developer @ Oracle - 25 LPA
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Python Developer @ Mphasis - 15 LPA
QA Engineer @ HCLTech - 15 LPA
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
Data Engineering @ Accenture - 12 LPA
Junior Accountant @ Fortis - 8 LPA
SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Angular Developer @ Capgemini - 15 LPA
Data Analyst @ Amazon - 25 LPA
Java Developer @ Oracle - 25 LPA
CATIA Design Engineer @ TATA Motors - 20 LPA
AWS Solutions Architect @ Accenture - 25 LPA
Python Developer @ Mphasis - 15 LPA
QA Engineer @ HCLTech - 15 LPA
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA

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4.7/5 · 1,432+ Verified Reviews
Inventateq teaches ETL testing in a practical sequence, starting with testing fundamentals and moving into SQL validation, API basics, Agile workflow, defect tools, and project execution. The training is built around the software and syllabus used in real QA and data teams, so learners can explain not just what they did, but why they did it.
We stand apart through our commitment to:

Live online training is available from Marathahalli and fits learners who want the same ETL testing syllabus without traveling. Sessions stay interactive, with screen sharing, tool demonstrations, and practical assignments on database testing, Jira, and project workflow.
A good fit if you want to start in QA through ETL testing, SQL, and test documentation.
Useful if you want to move into data validation, database checks, and ETL-focused testing.
Helpful if you already know basic SQL and want to apply it in testing roles.
Suitable for support, QA, and data roles looking to shift into ETL testing.
Possible with guidance because the course starts from testing fundamentals and builds step by step.
Mode: Offline classroom and live online training
Duration: Structured training with module-wise progression
Schedule: Weekday and weekend batch options
Level: Suitable for beginners and working professionals
No prior ETL testing experience is required to start.
Rated 4.9/5
Inventateq focuses on practical ETL testing training that helps learners understand how data moves, where it breaks, and how QA teams verify it. The course keeps the teaching simple and structured, so learners can move from testing basics to database checks, tools, and project work with confidence.
By the end of the course, learners can handle test scenarios, database checks, defect reporting, and project discussion with much more confidence. The training gives you practical exposure to the kind of work ETL testers and data QA teams do every day.
Learn to create test scenarios, trace requirements, and document test cases in a clear format that can be reviewed in interviews and projects.
Use SQL to check stored data, compare source and target values, and support backend verification in ETL flows.
Get used to Jira, HP ALM, and TestRail for bug tracking, test cycles, and execution reporting.
Learn how ETL tools such as Informatica PowerCenter, Datastage, and Talend fit into data movement and testing.
Build basic confidence in request-response checks, JSON validation, and API-based quality verification.
Finish with a project you can explain clearly, including your testing decisions, defects, and retesting steps.
The certification validates that you understand testing fundamentals, database validation, ETL workflow awareness, and project-based QA practice. It helps you present your skills more clearly when applying for ETL Tester and Data QA roles.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes. The course starts with testing basics, QA terminology, and documentation before moving into SQL and ETL validation. Beginners can follow the sequence if they stay consistent with the practice work.
Yes, the training covers ETL and QA tools used in real work, including Informatica PowerCenter, Datastage, Talend, Jira, HP ALM, TestRail, and SQL databases. You also get exposure to Unix, Linux, Shell Scripting, Python, and related validation workflows. The goal is to make the tool usage practical, not just theoretical.
Yes. Placement support includes resume help, mock interviews, project discussion prep, and guidance for roles such as ETL Tester and Data QA Engineer. The support is tied to what you actually learn in class.
Yes, if they are willing to learn step by step. The course begins with testing fundamentals and then builds into database validation and tool-based work. A non-technical learner can manage the progression with regular practice and mentor support.
Yes. Live online training is available for learners in and around Marathahalli who want the same curriculum without attending the classroom. Sessions are interactive and include tool demonstrations, assignments, and doubt clearing.
The training follows a structured module-wise format, so the duration depends on the batch schedule. Both classroom and live online options are designed to cover the full syllabus without rushing key topics. You can check the current batch plan for weekday or weekend timing.
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