- Integrate AI models with APIs, databases, and enterprise applications.
2 days
35 Data Engineering Jobs in Wp Kuala Lumpur - November 2026 - High Salaries
Showing 35 jobs results for
"data engineering"
in Wp Kuala Lumpur
- Decisions under pressure. Say SHIP / KILL / QUEUE / ROLLBACK with data. A/B even if UX dips. Defend trade-offs to eng, sales, and leadership. Recover fast when v1 fails.
13 days
- Handle concurrent updates, duplicate requests, failed operations, and reliable background jobs.
2 days
- Providing technical training and support to end-users.
30+ days
- Monitor and optimise AI solution performance and stay updated on advancements.
Today
- Conduct regular data audits, de-duplication, and cleanup for system accuracy.
30+ days
- Conduct regular data audits, de-duplication, and cleanup for system accuracy.
30+ days
- Conduct regular data audits, de-duplication, and cleanup for system accuracy.
30+ days
- Conduct regular data audits, de-duplication, and cleanup for system accuracy.
30+ days
- Conduct regular data audits, de-duplication, and cleanup for system accuracy.
30+ days
- Conduct regular data audits, de-duplication, and cleanup for system accuracy.
30+ days
- Design and implement RESTful APIs and back-end services using Java/Spring Boot to support front-end functionalities.
30+ days
- Design and implement RESTful APIs and back-end services using Java/Spring Boot to support front-end functionalities.
30+ days
- Drive engineering best practices and ensure delivery of scalable, maintainable, and secure code
30+ days
- Design and implement RESTful APIs and back-end services using Java/Spring Boot to support front-end functionalities.
30+ days
- Providing technical training and support to end-users.
30+ days
- Providing technical training and support to end-users.
30+ days
- Responding in a timely manner to user-reported errors.
2 days
- Focuses on semantic recognition, segmentation, transcription, synthesis analysis, and response quality.
30+ days
- Focuses on semantic recognition, segmentation, transcription, synthesis analysis, and response quality.
30+ days
- Integrate AI models with APIs, databases, and enterprise applications.
2 days
- Decisions under pressure. Say SHIP / KILL / QUEUE / ROLLBACK with data. A/B even if UX dips. Defend trade-offs to eng, sales, and leadership. Recover fast when v1 fails.
13 days
- Decisions under pressure. Say SHIP / KILL / QUEUE / ROLLBACK with data. A/B even if UX dips. Defend trade-offs to eng, sales, and leadership. Recover fast when v1 fails.
13 days
- Handle concurrent updates, duplicate requests, failed operations, and reliable background jobs.
2 days
- Assist in identifying opportunities for process and business improvement.
30+ days
- Handle concurrent updates, duplicate requests, failed operations, and reliable background jobs.
2 days
- Decisions under pressure. Say SHIP / KILL / QUEUE / ROLLBACK with data. A/B even if UX dips. Defend trade-offs to eng, sales, and leadership. Recover fast when v1 fails.
13 days
- Generate leads by committing to customer service and building relationships;
30+ days
- Generate leads by committing to customer service and building relationships;
30+ days
- Generate leads by committing to customer service and building relationships;
30+ days