puestos de Data Scientist en Malasia
Data Engineer
Adecco
FSO - Technology Consulting - Business Analyst / Data Analyst (Core Insurance)
Ernst & Young Advisory Services Sdn Bhd
Data Analyst
Henry Butcher
Data Engineer MLLM
ManpowerGroup
Data Engineer
Randstad
Descubre más oportunidades que en ningún otro sitio. Accede a más vacantes15-Month ERP Project Specialist: Data & UAT
MEASAT Satellite Systems
KYC & Onboarding Specialist (Data & Compliance)
Brighten Business Consulting
Senior Finance Analyst - Data & Dashboards (12-Month)
Ethos BeathChapman
Entra en contacto con cazatalentos para acceder a vacantes similaresSenior Researcher, Plant Breeding & Data-Driven Innovation
FGV Holdings Berhad
Master Data Analyst I — Data Quality & Governance (12 Months)
Kimberly-Clark Worldwide
Master Data Analyst I - 12 Months Contract (Global Business Services)
Kimberly-Clark Worldwide
Product Master Data Specialist | Flexible Work & Growth
WhiteCrow Research
Procurement Analyst (Japanese Speaker)
APAC Michael Page
Data Understanding Specialist - Data Cycling Center - French Market (KL)
TikTok
Executive - Reporting Data Analyst and Asset Management
Scicom (MSC) Berhad
Retail Finance Analyst: Data-Driven Budgeting & SAP
Uda Holdings Berhad
Junior Data Engineer: Data & AI Pipelines
Intellista Consulting
[KYDP 2025 - Cohort 5] Junior Data Engineer
Intellista Consulting
Strategic Sales Data Analyst
Business Strategy & Product
Data Engineer
Descripción de la vacante
A recruitment agency is seeking a Data Engineer in Kuala Lumpur, Malaysia. The ideal candidate will have 3–7 years of experience in data engineering, strong proficiency in Python and SQL, and familiarity with AWS services. Responsibilities include designing data pipelines, integrating AI/ML models, and ensuring data quality. This position offers the opportunity to work with cross-functional teams in a dynamic environment.
Formación
- 3–7 years of hands‑on experience in data engineering or related roles.
- Strong proficiency in Python, SQL, and modern data frameworks.
- Familiarity with AWS services.
Responsabilidades
- Design, develop, and maintain data pipelines using Airflow.
- Collaborate with cross‑functional teams to integrate AI/ML models.
- Ensure data quality, version control, and governance through documentation.
Conocimientos
- Design, develop, and maintain data pipelines using Airflow
- Build modular and incremental data flows that allow efficient refresh cycles and minimize redundant runs
- Collaborate with cross‑functional teams to integrate AI/ML models into production data environments
- Develop ETL/ELT workflows to ingest and transform data from multiple telecom and operational systems
- Ensure data quality, version control, and governance through consistent documentation and reusable components
- Participate in troubleshooting and optimization of data processes to ensure reliability, scalability, and performance
- Contribute to domain logic validation in partnership with business and analytics teams
- 3–7 years of hands‑on experience in data engineering or related roles.
- Strong proficiency in Python, SQL, and modern data frameworks (e.g., Airflow, Spark)
- Familiarity with AWS services (S3, ECS, RDS, EC2)
- Experience designing incremental / modular data pipelines and integrating APIs or external data sources
- Strong understanding of data governance, versioning, and access management practices
- Excellent problem‑solving skills, structured thinking, and strong communication abilities
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.