Automation Engineer II

Astreya Partners; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Astreya Partners is seeking an experienced automation and data engineer to design workflows, build ETL pipelines, and automate data operations across partner networks.

You will implement API integrations, data quality controls, and scalable runbooks while collaborating with cross-functional teams to improve data integrity and operational efficiency.

Qualifications

• 3+ years experience in automation engineering or data engineering.
• Strong Python proficiency.
• Experience building and consuming APIs (REST and/or GraphQL).
• Familiarity with SQL and ETL concepts.
• Experience with job scheduling and orchestration tools (Airflow, cron).
• Understanding of data quality principles.
• Comfortable working with large datasets across multiple source systems.
• Strong problem-solving skills and ability to work independently.

Responsibilities

• 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
• 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
• 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
• 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

Skills

Automation engineering

Data engineering

Python

APIs (REST/GraphQL)

SQL

ETL concepts

Data quality principles

Independent work

Large datasets

Tools

Airflow

Cron

Job description

About the Role

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

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

What We're Looking For

Required:

• 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

Monitoring & Dashboards

Time-series metrics, log analytics, custom

Orchestration

Scheduled jobs, event-driven triggers