Our client's global network infrastructure relies on thousands of external partners — internet
service providers (ISPs), colocation facilities, hardware vendors, and managed service
providers. We're building a centralized platform to manage all of these relationships,
contacts, and service data in one place.
What You'll Do
Build Workflow Automation
- Design 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 & Integrations
- Build 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 Processes
- Build 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 & Report
- Build 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 engineering
- Strong proficiency in Python
- Experience building and consuming APIs (REST and/or GraphQL)
- Familiarity with SQL and data pipeline/ETL concepts
- Experience 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 systems
- Strong problem-solving skills and ability to work independently
Preferred:
- 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.
- Area Technologies
- Scripting & Automation Python, PHP/Hack, Bash
- Data & Pipelines SQL, Hive/Presto (data warehouse), ETL tooling
- Orchestration Scheduled jobs, event-driven triggers