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Data Engineer

RHB Career Opportunities · Kuala Lumpur

About RHB Career Opportunities

23 open jobs

Mixed hiring record · median 39 days open

100100

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 39% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

Did you apply?

Data Engineer at RHB Career Opportunities. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • 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.
  • Implement and maintain data quality controls, validation rules, reconciliation processes, and exception handling mechanisms.
  • Monitor and troubleshoot data pipelines, perform root cause analysis, and support production incident resolution.
  • Maintain technical metadata, source-to-target mappings, data lineage, and technical documentation.
  • Ensure data solutions comply with enterprise data governance, security, privacy, and regulatory requirements.
  • Support system integration testing (SIT), user acceptance testing (UAT), deployment, and production implementation activities.
  • Identify and drive opportunities for automation, optimization, scalability, and continuous improvement across data engineering processes.
  • Work closely with Platform Engineering teams to ensure data solutions are operationally stable, performant, and scalable.

Skills

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All 23

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