Manual Tester (User Acceptance Testing)_Pune(3 To 5 Year)

3 - 8 years

9 - 12 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Responsibilites:-

Prepare Test cases in guidance of BA and Solution Architects

Produce test approach documents as per approved test cases

Test of data pipelines, reports, prepared by development team

Technical knowhow of Data Fusion, data Flow, Big Query, Airflow, Stack Driver

Knowledge of defect tracking tools

E2E ownership of testing phase, Test Planning, Test cases preparation, Environment preparation, execution of test cases, raising defects, documentation of test results and sign offs etc.

Contribution to the organization in terms of process adoption, resource optimization, tools adoption to bring in efficiency and uplift quality

Contribution to the Guilds with the technical expertise

* Create end to end test cases for Teradata to Google Cloud Platform (GCP)

* Conduct data validation and reconciliation to ensure data integrity and accuracy

* Troubleshoot and resolve technical issues related to data extraction, transformation, and loading (ETL) between the two platforms.

What we need

Experience:

1. Minimum 3-5 Years of relevant experience in STLC and Cloud

SQL, Unix, Azure dev ops/Jira, Agile, End to end Testing experience, System testing, Manual Testing, Regression Testing, Functional Testing

* Hands-on experience with cutting-edge technology: This isn't a routine maintenance job; it's a critical migration project that offers a chance to work with the latest GCP data services like BigQuery and Cloud Data Fusion.

* Opportunity for significant impact: The candidate will be a key player in a major modernization effort that will shape the company's future data landscape, moving it from legacy systems to a scalable cloud platform.

* Future-proof skills: Cloud migration and data modernization skills are in high demand and will provide a strong foundation for their career. This project offers a rare chance to gain expertise in both legacy and modern data platforms.

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