- Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
12 days
Aia Jobs in Kuala Lumpur - November 2026 - Urgent Hiring
Showing 21 jobs results for
"aia"
in Kuala Lumpur
- Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
11 days
- Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
30+ days
- Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
30+ days
- Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
30+ days
- Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
30+ days
- Lead engagements with diverse stakeholders to identify and translate business challenges into scalable data and analytics solutions
30+ days
- Lead a team of data scientists and AI specialists across both technical and business workstreams
30+ days
- Lead the delivery of end-to-end AI and data science engagements, from problem definition and solution design through deployment and adoption.
28 days
- Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
27 days
- Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
26 days
- Develop comprehensive project plans defining project scope, goals, deliverables, and timelines.
16 days
- Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
12 days
- Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
5 days
- Lead a team of data scientists and AI specialists across both technical and business workstreams
30+ days
- Develop comprehensive project plans defining project scope, goals, deliverables, and timelines.
30+ days
- Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
30+ days
- Lead engagements with diverse stakeholders to identify and translate business challenges into scalable data and analytics solutions
30+ days
- Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
25 days
- Lead engagements with diverse stakeholders to identify and translate business challenges into scalable data and analytics solutions
9 days
- Lead projects across the deal lifecycle, focusing on Commercial Due Diligence (CDD).
9 days
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