Quality Assurance Engineer

Condé Nast is a global media company producing the highest quality content with a

footprint of more than 1 billion consumers in 31 territories through print, digital,

video and social platforms. The company’s portfolio includes many of the world’s

most respected and influential media properties including Vogue, Vanity Fair,

Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon

Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to

develop film, television and premium digital video programming.

QA Engineer I

We are seeking a skilled and experienced Data Testing Engineer to join our dynamic

team. In this role, you will be responsible for Design and execute comprehensive test

plans for ETL processes, ensuring data integrity and accuracy throughout the data

lifecycle. Perform functional, integration, and regression testing on ETL workflows and

data pipelines.

1. Databricks/ ETL Tools

2. SQL queries

3. SOAP, SOA, API testing

4. Cloud platforms (AWS, Azure, GCP) and data testing in cloud

5. Linux or Windows server

This list of applications doesn’t stop with the above list, it extends as per the business

needs and will include the support of development & debug the platform related issues

as well.

Responsibilities will include:

● Assist design, develop, test, and deploy data quality processes using relevant

data

automation tools (i.e. BI/Reporting tools, SQL tools etc.)

● Designing and developing test automation scripts, using test automation

guidelines.

● Record test results and report and verify software bug fixes to accept

automation criteria.

● Enhance and extend automation frameworks

● Collaborate with business users to identify attributes that require data quality

and

● corresponding business rules. Profile data, analyze user requirements, and

translate

● & apply business rules to data quality rules.

● Create functional & technical documents - e.g. data quality architecture flows,

data profiling results, data quality specifications, test plans

● Contributes to corporate data management best practices and implementation

Methodologies

● Working experience in end - end data flow automation.

Desired Skills and Qualifications

● Databricks / ETL Tools (M)

● Advanced SQL queries (M)

● Hands on experience in API Testing (Any tool supported & automation is value

added)

● Hands-on experience in Python and Py-spark scripting in Data validation. (S)

● Cloud platforms (AWS, Azure, GCP - Any one) and testing in cloud (M)

● CI/CD - Github actions or any equivalent (S)

● Functional & Regression testing.

● Develop and maintain automated test scripts using Databricks tool. (C)

● Execute automated and manual tests to ensure the quality of DSC.(M)

● Collaborate with the development and PMO team to understand requirements

and design comprehensive test plans and test cases. (M)

● Perform functional, regression, integration, and Backend testing on data

applications.(M)

KEY BEHAVIOURS & COMPETENCIES

● Daily status report & Bug reporting and Analysis.

● Adherence to Best Practices.

● Experience in using data testing and automation tools.

● Strong communication and interpersonal skills.

● Ability to meet challenging deadlines and work in a fast-paced environment.