Azure Data Platform & Infra Engineer

S&P Global, Inc.

Malaysia

On-site

MYR 120,000 - 240,000

Full time

8 days ago

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Benefits offered by this job

Health care coverage

Flexible time off

Continuous learning opportunities

Retirement planning programs

Family-friendly perks

Company-wide benefits

Job summary

S&P Global in Malaysia is seeking an experienced Azure Infrastructure Engineer to design, build, and operate secure, scalable Azure infrastructure supporting application, data, and AI workloads. You will own Azure landing zones, networking, identity, security baselines, and reliability while enabling data ingestion, transformation, and analytics.

The role emphasizes IaC-driven platforms, cost optimization, and collaboration with security, analytics, BI, and AI teams to deliver reliable data

Qualifications

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.
Strong 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.

Responsibilities

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.