Level : AVP

Location - Hyderabad (preferred) or any QT location

 

About Us:

Qualitest is the world’s leading managed services provider of AI-led quality engineering solutions. It helps brands transition through the digital assurance journey and make the move from conventional functional testing to adopt innovations such as automation, AI, blockchain, and XR. Qualitest’s core mission is to mitigate business risks associated with digital adoption. It fulfills this through customized quality engineering solutions that leverage Qualitest’s deep, industry-specific knowledge for various sectors, including technology, telecommunications, finance, healthcare, media, utilities, retail, manufacturing, and defense. These scalable solutions protect brands through end-to-end value demonstration with a focus on customer experience and release velocity.  

Qualitest has offices in the United States, United Kingdom, Germany, Israel, Romania, India, Mexico, Portugal, Switzerland, and Argentina. It employs more than 7,000 engineers who serve over 400 customers worldwide.

A pioneer and innovator in its industry, Qualitest is the only services provider positioned by Everest Group as a Leader in both Next-generation Quality Engineering (QE) Services PEAK Matrix® Assessment 2023 and Quality Engineering (QE) Specialist Services PEAK Matrix® Assessment 2023.

 

Roles and Responsibility

Lead Data CoE

Build capabilities/ differentiators in data engineering field including Data migration, Data modernization and Data governance

Define differentiating solutions for Data related RFPs/ proposals

Build Data Engineering practice with strong foundation

Customer discussions

Skills

18+ years of experience with a minimum of 5 years in Data

Experience in Azure and AWS data services

Delivered projects in data migration and data modernization

Hand-on experience in python

Good understanding of AI and its impact on data

Prior experience contributing to practice level