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.

Job Description

Experience Range : 4 to 8 years

Senior Data Engineer (B1 - ETL, Data Engineering and Data Validation)3 must havesETL 4/5Data cloud 4/5Data engineering 3/55+ years of experience

Data Engineering & Data Validation.

Hands-on experience with Oracle, SQL Server, PostgreSQL, and MongoDB.

Hands-on experience in commercial Data Validation tools like Datagaps, Querysurge, etc.Proficiency in Azure Data Factory, Databricks, PySpark, and SQL.Experience with data validation, reconciliation, and assurance techniques.

Strong skills in Python scripting for automation.Understanding of ETL/ELT processes and data migration best practices.Knowledge of data governance and compliance best practices.