Job Description

Key Accountabilities

Main Duties & Responsibilities

Design, develop, and maintain scalable data pipelines and integration workflows to support analytics, reporting, and operational systems

Ensure data quality, consistency, and reliability across multiple platforms by implementing robust validation, cleansing, and transformation processes

Collaborate with application developers, business analysts, and system owners to define data requirements and deliver solutions aligned with business objectives

Optimize data storage and retrieval performance across databases, data lakes, and cloud platforms to support real-time and batch processing needs

Support the deployment and enhancement of data models, APIs, and ETL/ELT frameworks, ensuring alignment with architectural standards and governance policies

Monitor and resolve data-related Incident Requests (IRs) and Service Requests (SRs) in accordance with service level agreements and operational expectations

Participate in planning and execution of data-centric IT projects and initiatives, including resource coordination, risk mitigation, and stakeholder engagement

Maintain comprehensive documentation of data flows, schemas, and integration logic to support audit, compliance, and knowledge sharing

Collaborate with cross-functional teams to ensure seamless integration of data solutions with core business systems and external platforms

Stay abreast of emerging data technologies, tools, and best practices to continuously improve engineering efficiency and solution effectiveness

Education/Work Experience

Bachelor's degree

in Computer Science, Computer Engineering, Information Systems, Data Analytics or a related field, with

at least 6 years of hands-on experience

in data engineering, data integration, or analytics platform development, including

a minimum of 3 years

in designing and maintaining enterprise-grade data pipelines and solutions; OR

Diploma

in a relevant discipline, with

a minimum of 8 years of practical experience

in data engineering or related domains, including

at least 4 years

in a technical lead or senior engineering capacity, supporting cross-functional data initiatives and system integration efforts

Knowledge

Skills

Understanding of

data architecture principles

, including data modeling, pipeline design, ETL/ELT frameworks, and distributed data processing

Has knowledge in

enterprise data platforms

and tools, at least in RDBMS. Knowledge in Azure Data Factory, Databricks, Power BI, and other modern analytics ecosystems is a plus.

Familiarity with

API-based integration

and data exchange protocols (e.g., REST, SOAP, MQ), enabling seamless connectivity between systems and platforms

Knowledge of

cloud data services

and infrastructure (e.g., Azure, AWS, GCP).

Understanding of

data governance, privacy, and compliance standards

, including data lineage, access control, and audit readiness

Awareness of

AI and machine learning fundamentals

, particularly in the context of chatbot development, predictive analytics, and model deployment

Experience in

business intelligence and reporting frameworks

, enabling effective visualization, role-based access, and decision support

Up-to-date perspective on

emerging data technologies

, trends, and best practices relevant to enterprise analytics and AI-driven solutions

Hands-on in design, build, and optimize scalable data pipelines to support analytics, reporting, and AI initiatives

Hands-on in managing end-to-end data engineering workflows, including ingestion, transformation, validation, and orchestration across cloud and on-prem platforms

Effective in supporting data operations and enhancement activities, ensuring data quality, availability, and performance for business-critical applications

Good communication and interpersonal skills, with the ability to translate complex data concepts for technical and non-technical audiences

Excellent in documenting data processes, producing technical specifications, and preparing stakeholder-facing reports in English

Capable of collaborating within cross-functional teams, including developers, analysts, and business users, to deliver integrated data solutions

Comfortable navigating dynamic environments, resolving data-related issues, and maintaining operational resilience under pressure

Job Types: Full-time, Contract
Contract length: 12 months

Pay: RM6,000.00 - RM8,000.00 per month

Work Location: In person