Cloud Data Platform Engineer

DKSH; Kuala Lumpur; On-site; MYR 90,000 - 130,000; Full time

Job summary

DKSH is seeking a Data Engineer, Specialist in Kuala Lumpur to design, develop, and sustain cloud data platforms that empower data-driven decisions globally. You will build scalable pipelines and support BI workflows, working with Azure data services and Fabric to deliver reliable data products.

Fresh graduates or candidates with up to 1 year of experience will join a collaborative team, leveraging SQL, Python, PySpark, and CI/CD to ensure quality, governance, and agility across environments.

Qualifications

• Bachelor's degree in Computing, Information Technology, or equivalent.
• Fresh graduate or up to 1 year of relevant working experience.
• Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Pipeline, OneLake, Notebook, and deployment pipelines.
• Practical experience with Azure Data Solutions, including Azure Synapse Spark, Synapse Database, Azure Data Factory, Databricks, and Azure Data Lake Storage.
• Solid grounding in ETL/ELT frameworks, data warehousing concepts, data management frameworks, and data lifecycle processes.

Responsibilities

• Design, develop, and implement end-to-end data pipelines and data integration processes — both batch and real-time — covering data analysis, profiling, cleansing, lineage, mapping, transformation, and the full deployment of ETL/ELT solutions.
• Drive continuous improvements in data quality, reliability, and efficiency by monitoring pipeline performance and optimizing ETL/ELT processes to meet evolving business demands.
• Establish and deliver best practices across the data management lifecycle, including modular ETL/ELT development, coding and configuration standards, error handling, auditing, and data archival.
• Identify and implement AI, automation, and data-driven innovations that streamline operations, reduce manual effort, and measurably improve productivity.
• Ensure all development aligns with data governance policies and BI platform guidelines, maintaining compliance and consistency across environments.
• Partner with IT, SMEs, vendors, and business stakeholders to translate data needs into effective solutions.
• Resolve BAU data issues and change requests efficiently, with thorough documentation of investigations and resolutions.
• Support production monitoring, operational incidents, and service requests, including standby support as required.

Skills

Python

PySpark

SQL

Data modeling

CI/CD

Communication

Teamwork

Azure DevOps

Education

Bachelor's degree in Computing/IT

Tools

Azure Data Factory

Azure Synapse

Azure Databricks

Microsoft Fabric

Power BI

Job description

DKSH is seeking a Data Engineer, Specialist in Kuala Lumpur to design, develop, and sustain cloud data platforms that empower data-driven decisions globally. You will build scalable pipelines and support BI workflows, working with Azure data services and Fabric to deliver reliable data products.

Fresh graduates or candidates with up to 1 year of experience will join a collaborative team, leveraging SQL, Python, PySpark, and CI/CD to ensure quality, governance, and agility across environments.