Data Engineer
Kuala Lumpuronsitemid
Posted today · via Workday
About this role
Design, develop, and maintain scalable data pipelines and Data Products to support analytics, reporting, regulatory, and operational use cases. Build and optimize data ingestion, transformation, and integration workflows across batch and near real-time processing environments. Develop and maintain automated ETL/ELT processes, workflow orchestration, and scheduling mechanisms to ensure reliable data delivery. Design and implement data cleansing, standardization, enrichment, and transformation processes to produce trusted and consumption-ready datasets. Collaborate with business, Analytics Insights, and technology teams to translate business requirements into reusable Data Products and data solutions.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: teams
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Kuala Lumpur. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
teams