LeadQualityEngineering

Descriptions:

• Hands-on experience with Data Testing either with Python or Pyspark.
• Deep understanding of data test concepts primarily inclined towards ETL.
• Hands-on with ETL/DWH testing and SQL (any RDBMS)-Hands-on experience with any DB| preferably GCP and should be able to read/understand/alter stored procedures.
• Strong experience in BDD with Cucumber or similar framework-Experience in Azure DevOps to integrating automated testing into a CI/CD pipeline using Jenkins or GitLab runner.
• Hands-on or good knowledge on AI| Generative AI and LLMs.
• Hands-on experience with one of more programming languages (Java / JavaScript)-Proven experience and ability to create best practices and policies to improve quality at program level.
• Strong technical skills and ability to solve Quality Engineering technical problems.
• Strong problem-solving skills and managing multiple stakeholders.
• Excellent communication skills and should be able to manage client stakeholders and act as a liaison between QE team and clients.
• Experience managing mid-size team of QAs working on multiple products.
• Accomplishes quality assurance objectives by monitoring| reviewing| and enforcing policies and procedures.
• Analyze production data to identify areas of growth.
• Excellent data analyzing and review skills.
• Experience of working in an agile environment and the role of QA in agile ceremonies.
• Knowledge on Jira| Zephyr for Test Management-Proficient Testing experience.