Data Operations Engineer: Pipelines, SRE & Automation

Techemerge Solutions; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Techemerge Solutions in Singapore is seeking a Data Operations professional for the Data Platform. You will manage data processing pipelines and support researcher workflows.

You will handle data access requests, data quality issues, and incident triage at level 2, integrating with Site Reliability Engineering and automation via Ansible. Strong scripting (Python/Bash) and AWS experience are valued for cross-training and process improvement.

Qualifications

• Experience managing data processing pipelines and supporting complex researcher workflows.
• Ability to triage incidents with an emphasis on root cause analysis and data quality.
• Familiarity with ITSM processes, including ServiceNow, and data access governance.

Responsibilities

• Manage Data Processing Pipelines
• Support Researcher Workflows
• Data Access Management
• Operate like level 2 incident management
• Handle ITSM tickets (ServiceNow)
• Issue Triage and Root Cause Analysis
• Manage Data Related Ticket Queue
• Address Data Quality Issues and Data content questions
• Process Access Requests
• Coordinate Site Reliability Engineering activities
• Maintain a continuous improvement mindset
• Promote process automation and awareness of Ansible
• Work with Linux platforms (Red Hat, CentOS)
• Develop and maintain scripting—Python, Bash
• Work with KDB for data processing
• Maintain AWS operator knowledge

Skills

Data Pipelines

Incident Mgmt

ITSM

Root Cause Analysis

Data Quality

Python

Bash

AWS

Linux

KDB

ServiceNow

Tools

Ansible

Job description

Techemerge Solutions in Singapore is seeking a Data Operations professional for the Data Platform. You will manage data processing pipelines and support researcher workflows.

You will handle data access requests, data quality issues, and incident triage at level 2, integrating with Site Reliability Engineering and automation via Ansible. Strong scripting (Python/Bash) and AWS experience are valued for cross-training and process improvement.