Senior Automation Quality Engineer (QE)

Mandatory Skills and Qualifications:

Proficient in Python, with hands-on experience in Pandas and Pytest.

Familiarity with IPython for interactive computing.

Experience working with Google Command Line Tools.

Exposure to JupyterLab for interactive data science workflows.

Strong understanding of Google Cloud Platform (GCP) and BigQuery.

Experience with Jenkins for Continuous Integration/Continuous Deployment (CI/CD) pipelines and familiarity with Groovy.

Exposure to Vertex AI (Google's AI platform).

Hands-on experience with Jira and Confluence for project management and collaboration.

Basic knowledge of Shell Scripting.

Excellent communication skills, both verbal and written.

Solid understanding of Quality Assurance (QA) processes and methodologies.