Zensar Technologies—AI Central - Measurement and Reporting Engineer

Job description

Description: SQL, Python for data pipelines, and a reporting layer — Power BI preferred • GitHub data extraction via REST and GraphQL APIs: pull-request lifecycle, review events, Actions run telemetry. Must be able to derive merge rate, review cycle time and reviewer effort per pull request. • ServiceNow reporting and data extraction, specifically the Vulnerability Response module and Application Vulnerable Item records; ServiceNow Table and REST APIs. • Jira extraction and defect metrics at product grain. • Engineering-metrics literacy (DORA or equivalent) and the judgment to distinguish an activity count from an outcome. • Able to build an attribution model that records how a finding was closed — by agent, by tooling, or manually. Nice To Have Planview or comparable resource/time systems. • GitHub Copilot usage and telemetry APIs. • Dimensional data modeling. • Experience instrumenting a program that was under scrutiny, where the numbers were contested. Requirements: Nice To Have Planview or comparable resource/time systems. • GitHub Copilot usage and telemetry APIs. • Dimensional data modeling. • Experience instrumenting a program that was under scrutiny, where the numbers were contested. Responsibilities: SQL, Python for data pipelines, and a reporting layer — Power BI preferred • GitHub data extraction via REST and GraphQL APIs: pull-request lifecycle, review events, Actions run telemetry. Must be able to derive merge rate, review cycle time and reviewer effort per pull request. • ServiceNow reporting and data extraction, specifically the Vulnerability Response module and Application Vulnerable Item records; ServiceNow Table and REST APIs. • Jira extraction and defect metrics at product grain. • Engineering-metrics literacy (DORA or equivalent) and the judgment to distinguish an activity count from an outcome. • Able to build an attribution model that records how a finding was closed — by agent, by tooling, or manually.