SME - Python

Build and maintain BigQuery + SQL/Python pipelines. Assist in schema mapping and data normalization. Implement feature engineering transformations. Perform unit testing and pipeline validation. Document data flows and pipeline logic.

1. Analyze Escalated Tickets And Incidents Using Python And Powershell Scripts To Ensure On-Time Resolution And Compliance With Quality Standards As Per The Sla.
2. Mentor Team Members On Best Practices In Automation And Scripting, Developing And Maintaining Standard Operating Procedures (Sops) To Enhance Operational Efficiency.
3. Validate Change Order Implementation Plans By Using Powershell For Automation Testing And Ensuring Human Error Compliance While Participating In Capacity Planning Discussions.
4. Engage In Customer Meetings To Gather Feedback And Address Any Issues, Utilizing Python To Generate Reports That Facilitate Understanding And Enhance Customer Satisfaction.
5. Conduct Root Cause And Trend Analyses Using Python Data Analysis Libraries To Validate Findings And Prepare Insightful Reports For Presentation To Key Business Stakeholders.

Working knowledge of Python, SQL, and BigQuery. Familiar with GCP services and Git-based workflows. Basic understanding of data engineering best practices. Eagerness to learn ML data preparation techniques.

1. Proficient In Python For Automation And Data Analysis.
2. Strong Skills In Powershell For Scripting And System Management.
3. Excellent Analytical And Problem-Solving Abilities.
4. Effective Communication Skills For Stakeholder Interaction.
5. Familiarity With Incident Management And Sla Compliance.

Support pipeline python development, schema mapping, and feature engineering tasks for the Anomaly Detection workstream under the guidance of the Senior Developer.

1. Itil Foundation Certification (Optional But Valuable).
2. Python Institute Certified Entry-Level Python Programmer (Pcep) (Optional But Valuable)