Job Description

MUST HAVES:

7-10 years of experience

1. Hands-on in Data/ETL Testing, Data Warehouse, Data Lakes

2. Proficient in Data Validation tools such as RightData (preferred), ICEDQ (Integrity Check Engine for Data Quality) , Informatica, Tosca DI, Datagaps

3. Develop custom utilities using Python

4. Hands-on working on Cloud native databases & ETL services (preferably AWS)

Requirements

Prioritize activities for QA team

Set up Test suite for the project
Worked with SME's to understand and analyse impacts on various acquisitions
Faciliate QA meetings with business and source owners to mitigate risks and resolve issues
Provide various sign off documents for various deployments on the project on and as need basis
Interact with users to walk them through the functionality of the reports that they request before UAT

Benefits

The Worlds Leading AI-Powered Quality Engineering Company

We bring in the culture of quality orchestration across your business, technology and operational landscape through our engineering-led process discipline.

Qualitest provides innovative and scalable business quality engineering solutions that protect our clients brand through end-to-end value demonstration with laser focus on customer experience and release velocity.

We are an integrated quality engineering partner. We customize our solutions to our clients business requirements and seamlessly integrate them with their IT processes. Our global, time-tested delivery models and our experienced engineers enable our clients to achieve more, faster and for less money.

Qualitest stands by our clients to assure their brands through engineering quality upfront and driving market-impacting changes at record breaking time. Our focus is around the industries that impact human lives and our clients look to us as their trusted and modern Partner for their strategic AI & Data Science, DevOps and Quality Engineering needs.

Qualitest