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Senior Quality Engineer - Data

PayU -
Mumbai, Maharashtra

Apply Now

Job details

Qualifications

Jira
Oracle
Relational databases
Test automation
Microsoft SQL Server
SQL
AWS
Analysis skills
Quality assurance
PostgreSQL
Scripting
ETL
Agile
Data warehouse
Python

Full job description

Role Title: Sr Quality Engineer - Data
Location: Mumbai Preferred/ Bangalore

About the Team
Our Team is a specialized in bridging the gap between development and testing. Unlike traditional QA roles, SDETs have
strong programming skills and contribute to both the development and testing aspects of software products.

About the Role
Quality Assurance is a systematic process that ensures a product or service meets specified requirements and customer expectations. In software development, QA professionals test applications to identify bugs, verify functionality, and ensure the overall quality of the product.

Responsibilities:

Conduct ETL, Data Warehousing (DW), and Business Intelligence (BI) testing to ensure

the robustness of data systems.

Create and execute comprehensive test cases, including the creation of test scripts

and test data, focusing on functional operations and user perspectives.

Develop and automate test scenarios using Python scripting.
Work closely with stakeholders to translate functional specifications into effective

testing scenarios.

Execute SQL scripts for relational databases such as Oracle SQL, MSSQL, or

Postgres, ensuring data accuracy and consistency.

Perform requirement analysis to understand testability and ensure adherence to

quality standards.

Collaborate with teams in Agile environments and contribute to quality assurance

during sprints.

Leverage tools such as JIRA to track and manage testing progress.
Ensure compliance with testing methodology standards and best practices.

Required Qualifications:

3–5 years of ETL, DW, and BI testing experience.
1–2 years of test automation scripting (preferably with Robot Framework or Python).
Solid understanding of Data Warehousing concepts and technologies.
Proficiency in SQL (mandatory) and relational database management systems like

Oracle, MSSQL, or Postgres.

Preferable: Working knowledge of AWS cloud services.
Strong analytical skills and attention to detail.
Knowledge of Agile methodology and testing tools like JIRA.

Be a part of our dynamic team and ensure the highest level of quality in our data
engineering processes

Apply Now

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