全职 Senior Data - Analytics Engineer (Azure Cloud Transition) 工作, 薪水, Randstad Malaysia Federal Territory 公司招聘中 - Ricebowl

Department: Digital & Technology

Positions Available: 2 (Contract - Renewable)

About the Role

We are seeking an experienced Lead Data & Analytics Engineer to drive our full cloud transformation. Our organization is transitioning to a cloud environment on Azure, and we need a hands-on technical lead to execute this migration while managing hybrid infrastructure and delivering end-to-end analytics.

In this role, you will modernize data pipelines using Azure Data Factory and Microsoft Fabric, optimize Azure SQL Managed Instances, and maintain legacy on-premise solutions (SSIS, SSAS) migrated to cloud VMs. Beyond engineering, you will build robust semantic models in Power BI to deliver business-ready insights following strict Agile and SDLC governance.

Key Responsibilities

• Cloud Migration & Data Engineering: Build, orchestrate, and optimize production ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric to support our complete cloud migration by September.

• Database & Infrastructure Management: Develop and maintain schemas, performance, and procedures across Azure SQL Managed Instances.

• Legacy System Support: Maintain and support existing SSIS integration packages and SSAS tabular/multidimensional models hosted on Azure VMs during the transition.

• Analytics & Semantic Modeling: Build scalable, high-performance semantic models, DAX measures, and reports in Power BI for cross-functional stakeholders.

• SDLC & Delivery Management: Adhere to structured Agile/Scrum methodologies, producing thorough technical documentation, tracking pipeline deployment, and securing formal business sign-offs.

• Process Automation: Develop targeted Excel VBA/macro automation tools to streamline manual assessment workflows for internal resolution specialists.
  
  

Technical Requirements

• 7+ years of progressive experience in Data Engineering, Business Intelligence, or Cloud Architecture.

• Deep hands-on experience with Microsoft Azure, specifically Azure Data Factory (ADF), Microsoft Fabric, and Azure SQL Managed Instance.

• Proven track record working with legacy Microsoft SQL Server stacks, including SSIS and SSAS (tabular/multidimensional models).

• Advanced Power BI expertise, including enterprise semantic layer design, DAX, and report optimization.

• Proven ability to operate within an Agile/SDLC environment, including writing technical design docs, standard operating procedures, and managing deployment sign-offs.

• Strong experience in end-to-end cloud migrations and infrastructure transition projects.
  
  

Desirable / Advantageous Skills

• Advanced Excel & VBA: Strong capability in writing complex VBA scripts and macros to automate operational assessment spreadsheets for resolution specialists.
  
  

Candidate Profile

• Full-Stack Analytics: Able to build the pipeline, model the data layer, and deliver the final Power BI dashboard independently.

• Process-Driven: Committed to code quality, documentation, testing, and formal sign-off processes.