ETL QA Engineer

5-9 Years

11 - 14 LPA

Early Applicant

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Job Description

Job Description

POSITION: QA ENGINEER

Location: Remote (final round of interview they want to go for

face to face interview either Chennai/Pune/Gurugram) (whenever needed they want to go for Chennai office)

Experience: 5 - 8 Years

Budget: 11-14LPA

Notice: Immediate to 15 days (only need immediate or service notice

candidates)

MANDATORY SKILL SET

* ETL, SQL, AWS glue, Manual testing, test case design, cloud data validation.

JOB SUMMARY

We are looking for a skilled QA Engineer with strong expertise in

automation testing, API validation, and ETL testing in cloud

environments. The ideal candidate will have hands-on experience with

tools like Robot Framework, Selenium, and AWS Glue, along with strong

analytical and problem-solving skills.

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KEY REQUIREMENTS

* Bachelor's degree in Computer Science, Information Systems, or

Engineering (preferred)

* 5-9 years of experience in manual and automated testing

* Strong experience in:

* API, Integration, Regression, and End-to-End testing

* Database testing using SQL

* Hands-on experience with ETL testing in cloud environments

(mandatory)

* Experience with AWS Glue pipelines and data validation

* Exposure to serverless architectures (e.g., event-driven systems

like Amazon EventBridge) is preferred

* Experience with automation tools:

* Robot Framework (preferred)

* Selenium WebDriver

* REST Assured (optional)

* ISTQB certification is a plus

* Experience working in Agile environments

* Strong analytical, debugging, and problem-solving skills

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ROLES & RESPONSIBILITIES

Manual Testing of Cloud ETL Workflows:
Perform manual testing of ETL processes across cloud platforms (e.g., AWS Glue).
Cloud Data Validation:
Validate data movement, transformation, and loading between on-premises and cloud data sources/targets.
Test Case Design for Cloud Environments:
Design, develop, and execute test cases for ETL jobs running in cloud environments, considering cloud-specific features and limitations.
Data Integrity and Security Checks:
Ensure data integrity, security, and compliance during data migration and transformation in cloud workflows.
Defect Identification and Reporting:
Identify, document, and track defects or inconsistencies in cloud-based ETL workflows and data pipelines.
SQL and Cloud Query Proficiency:
Write and execute SQL queries and use cloud-native query tools (e.g., AWS Athena) for data validation.
Collaboration with Cloud Teams:
Work closely with cloud ETL developers, cloud architects, and data engineers to resolve issues and clarify requirements.
Documentation and Reporting:
Prepare detailed test documentation, including test plans, test results, and defect logs, specific to cloud ETL workflows.