Data / Analytics Engineer (AIOps & Observability)

Role Overview

We are looking for a Data & Analytics Engineer tosupport AI-driven operations analytics, focusing on log analysis,incident insights, and data modeling for AIOps.

This role bridges data engineering + analytics + AIenablement.

Key Responsibilities

1. Data Engineering & Pipeline

• Design and build data pipelines for logs, incidents, infrastructure data
• Integrate with tools like Elastic / Splunk / monitoring platforms
• Structure and prepare data for AI/analytics use

2. AI-Driven Analytics

• Enable log correlation and intelligent reasoning using AI tools
• Work with AI teams to feed structured data into models

3. Operations Analytics Use Cases

• Incident management
• Storage and infra metrics
• Logs and monitoring insights

4. Dashboard & Visualization

• Power BI / Elastic / other tools
• Present insights to leadership (support demo & rollout)

5. Data Modelling & Governance

• Design data models for operational analytics
• Ensure data quality, consistency, and scalability

Requirements

Technical Skills

• SQL / data modelling
• ETL / data pipelines
• Power BI (or similar BI tools)
• Log/monitoring platforms (Elastic/Splunk)
• AI/ML concepts or LLM integration

Other requirements

• Azure OpenAI / AI analytics pipelines
• Infrastructure or operations domain data

• Ability to translate raw logs into actionable insights
• Strong data + infra understanding

Best regards,

Kshama Warange

EA License Number: 23C2060 | EA Registration ID: R26161060

Quess Selection & Services, Singapore

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