S&P Global

AzureInfrastructure&DataEngineer

Penang-Jalan, MYS FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Azure Infrastructure & Data Engineer at S&P Global. Skills: Azure infrastructure, Data platforms, Data pipelines, Infrastructure as code. Design and operate Azure landing zones. Build and manage Azure networking”

What You'll Achieve.

Enable analytics, reporting, and AI/ML workloads; Enable insights and advanced use cases

What They're Looking For.

Must Have

3+ years hands‑on experience with Azure core infrastructure services, Deep understanding of networking and security concepts in cloud environments, Experience building and operating IaC‑driven platforms, Familiarity with CAF, Well‑Architected Framework, and Zero Trust principles, Experience supporting mission‑critical production systems, experience with Azure data services (Fabric or Synapse, ADF, ADLS, SQL), Solid SQL skills and experience with data transformation patterns, Experience building batch and/or streaming pipelines, Understanding of modern analytics architectures (lakehouse, data mesh concepts), Ability to support production data platforms

Nice to Have

AKS platform engineering experience, Azure Firewall, Application Gateway, or Front Door, Azure Policy at scale, Hybrid connectivity (on‑prem to Azure), Fabric end‑to‑end experience (OneLake, Lakehouse, Warehouse), Spark / PySpark experience, Integration with AI/ML workloads, Data governance tooling (Purview)

What You'll Do.

Design and operate Azure landing zones

Build and manage Azure networking

Implement and manage identity and access

Own compute and platform services

Implement infrastructure as code

Monitor and optimize availability

Partner with security teams

Support production workloads

Design and implement end‑to‑end data pipelines

Build and operate Azure data platforms

Ingest data from sources

Implement security and governance

Partner with analytics

Optimize cost and performance

How You'll Work.

Team & Collaboration

Partner with security teams; Partner with analytics, BI, and AI teams

Full Job Description

# **About the Role:** **Grade Level (for internal use):** 09 **The Role:** Design, build, and operate secure, scalable Azure infrastructure that underpins application, data, and AI workloads alongside Design, build, and operate modern data platforms on Azure that enable analytics, reporting, and AI/ML workloads. This role is typically accountable for the Azure landing zone, networking, identity, security baseline, and reliability and will focus on data ingestion, transformation, modelling, and performance. **Responsibilities include:** * Design and operate **Azure landing zones** aligned to CAF and enterprise governance standards * Build and manage **Azure networking** (VNETs, peering, VPN/ExpressRoute, Private Endpoints, DNS) * Implement and manage **identity and access** using Entra ID, RBAC, PIM, and Conditional Access * Own **compute and platform services** (VMs, VMSS, AKS, App Service environments) * Implement **infrastructure as code** using Bicep, ARM, Terraform, or similar * Monitor and optimize **availability, performance, and cost** (Azure Monitor, Log Analytics, Cost Management) * Partner with security teams on **policy, compliance, and threat protection** * Support production workloads with clear **SRE/operations discipline** (patching, backup, DR) * Design and implement **end‑to‑end data pipelines** on Azure * Build and operate **Azure data platforms** (Fabric, Synapse, Data Factory, Data Lake, SQL, Cosmos DB) * Ingest data from operational systems, SaaS platforms, and streaming sources * Develop **data models** optimized for analytics and downstream consumption * Ensure **data quality, reliability, and performance** at scale * Implement security and governance (Purview, RBAC, data access controls) * Partner with analytics, BI, and AI teams to enable **insights and advanced use cases** * Optimize **cost and performance** across data workloads. **Requirements:** * 3+years hands‑on experience with **Azure core infrastructure services** * Deep understandin

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