- Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
24 days
36 Data Technician Jobs in Malaysia | Job Vacancies | October 2026 | Ricebowl
Showing 36 jobs results for
"data technician"
- Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
3 days
- Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
22 days
- Oversee the full project lifecycle, including:
30+ days
- Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
24 days
- Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.
10 days
- Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.
30+ days
- Oversee the full project lifecycle, including:
29 days
- Translate business requirements into technical specifications and data engineering solutions.
23 days
- Oversee the full project lifecycle, including:
7 days
- Translate business requirements into technical specifications and data engineering solutions.
2 days
- Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.
30+ days
- Integrate with data governance tools, ecosystem products across the cloud landscape
10 days
- Integrate with data governance tools, ecosystem products across the cloud landscape
30+ days
- Integrate with data governance tools, ecosystem products across the cloud landscape
30+ days
- Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
10 days
- Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
30+ days
- Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
30+ days
- Ensure data quality, governance, and security standards are embedded throughout all data engineering processes.
8 days
- Ensure data quality, governance, and security standards are embedded throughout all data engineering processes.
30+ days
- Ensure data quality, governance, and security standards are embedded throughout all data engineering processes.
29 days
GenAI Data Engineer-Scientist (Financial Services), Manager-Senior Consultant, Technology Consulting
- Conduct experiments and analyze results to improve model performance.
30+ days
GenAI Data Engineer-Scientist (Financial Services), Manager-Senior Consultant, Technology Consulting
- Conduct experiments and analyze results to improve model performance.
11 days
GenAI Data Engineer-Scientist (Financial Services), Manager-Senior Consultant, Technology Consulting
- Conduct experiments and analyze results to improve model performance.
30+ days
- Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
10 days
- Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
30+ days
- Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
30+ days
- Lead business key identification and relationship modelling workshops.
24 days
- Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
14 days
- Lead business key identification and relationship modelling workshops.
3 days