Automation Engineer

About the RoleOur client's global network infrastructure relies on thousands of external partners — internetservice providers (ISPs), colocation facilities, hardware vendors, and managed serviceproviders. We're building a centralized platform to manage all of these relationships,contacts, and service data in one place.What You'll DoBuild Workflow AutomationDesign and implement automated workflows for partner onboarding, contact updates, service renewals, and data lifecycle management.Create self-service tools that allow operations teams to perform bulk data operations without needing engineering support.Build automated alerting for stale data, missing information, or expiring service agreements.Develop Data Pipelines & IntegrationsBuild ETL pipelines that synchronize partner data across multiple internal systems.Automate the migration of legacy data from spreadsheets, wikis, and siloed databases into the centralized platform.Develop reconciliation scripts to detect discrepancies between systems and maintain data consistency.Automate Operational ProcessesBuild tools that auto-retrieve relevant partner contacts during network incidents, reducing response time.Create automated escalation and outreach workflows triggered by network events.Develop runbook automation to standardize and speed up repetitive operational tasks.Monitor & ReportBuild dashboards tracking data quality, freshness, and platform adoption.Implement automated health checks and audit scripts to detect duplicates, orphaned records, or incomplete entries.Create scheduled reports for leadership on automation ROI and data integrity metrics.Qualifications: 3+ years experience in automation engineering, data engineeringStrong proficiency in PythonExperience building and consuming APIs (REST and/or GraphQL)Familiarity with SQL and data pipeline/ETL conceptsExperience with job scheduling and orchestration tools (Airflow, cron, or similar)Understanding of data quality principles (validation, deduplication, reconciliation)Comfortable working with large datasets across multiple source systemsStrong problem-solving skills and ability to work independentlyPreferred:Experience with PHP or Hack (server-side scripting)Familiarity with graph databases or relationship/entity management systems.Experience with CRM, MDM (Master Data Management), or vendor management platforms.Understanding of network infrastructure concepts (ISPs, peering, colocation, Points of Presence).Experience with Thrift or similar RPC frameworks.Background in telecom, network operations, or infrastructure services.Experience automating processes in a large-scale enterprise environment.Tech StackArea TechnologiesScripting & Automation Python, PHP/Hack, BashAPIs GraphQL, REST, Thrift (RPC)Data & Pipelines SQL, Hive/Presto (data warehouse), ETL toolingMonitoring & Dashboards Time-series metrics, log analytics, custom dashboardsOrchestration Scheduled jobs, event-driven triggers