Data / Analytics Engineer<Etl,Power Bi And SQL>

We are looking for Data / Analytics Engineer with good knowledge on ETL, Power BI and SQL for ourBanking customer in Singapore for a 1-year contract. you will be based inSingapore. Role Overview We are looking for a Data& Analytics Engineer to support AI-driven operations analytics, focusing onlog analysis, incident insights, and data modelling 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 / monitoringplatforms · Structure and prepare data for AI/analytics use 2. AI-Driven Analytics · Enable log correlation and intelligent reasoning using AItools · Work with AI teams to feed structured data into models 3. Operations Analytics Use Cases · Deliver analytics for: o Incident management o Storage and infra metrics o Logs and monitoring insights 4. Dashboard & Visualization · Build dashboards using: o 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 · Strong experience in: o SQL / data modelling o ETL / data pipelines · Hands-on with: o Power BI (or similar BI tools) o Log/monitoring platforms (Elastic/Splunk) · Exposure to: o AI/ML concepts or LLM integration Other requirements: · Experience with: o Azure OpenAI / AI analytics pipelines o Infrastructure or operations domain data · Ability to translate raw logs into actionable insights · Strong data + infra understanding Please send us your resume in word(.doc) format to:RECRUIT@INFOSTQGLOBAL.COM