Data Engineer (Azure)
ENFACTUM PTE. LTD.
Responsibilities
Data Domain ManagementInterpret business workflows and data requirements.
Conduct data exploration and create entity relationship diagrams.
Develop data models and manage ETL processes.
Create and service data pipelines.
Data Platform OperationsSet up, install, and manage access controls.
Monitor and maintain data pipelines to ensure quality data outputs.
Validate data fusion processes for safe use.
Data Platform Upgrade and Migration:
Design, develop, and implement robust processes and automation.
Conduct testing (unit testing, SIT, UAT) and implementation.
Ensure secure and efficient data fusion, exploitation, and sharing.
Documentation and AdministrationMaintain data dictionaries and workflow processes.
Report for Data Incident Concierge (DIC) and other documentation.
Handle paperwork for data administration, including asset management and procurement of tools.
Collaboration and Continuous ImprovementCollaborate with partners and cross-teams to benchmark best practices.
Drive continuous improvement in data interpretability and searchability.
Develop and maintain tools such as Microsoft Purview.
RequirementsMinimum 4 years of hands-on experience in data engineering, systems implementation, or equivalent roles.
Experience in data integration, analytics, system integration, and working on data pipelines.
Knowledge of information management practices, including data lifecycle management, data modeling, and master data management.
Experience in gathering requirements for data warehouses or similar systems.
Familiarity with Change Management, Risk Management, and Incident Management.
Experience supporting relevant Government Projects and understanding Government Data Governance Standards and Regulations (e.g., IM8, PSGA).
Experience in public health or epidemiology is advantageous.
Technical SkillsetProficient in PySpark, SQL, and/or Python.
Experience with large datasets.
Proficiency in Microsoft Azure and Power BI is advantageous.
Agile or other Project Management Methodology certification is a plus.
Data Domain ManagementInterpret business workflows and data requirements.
Conduct data exploration and create entity relationship diagrams.
Develop data models and manage ETL processes.
Create and service data pipelines.
Data Platform OperationsSet up, install, and manage access controls.
Monitor and maintain data pipelines to ensure quality data outputs.
Validate data fusion processes for safe use.
Data Platform Upgrade and Migration:
Design, develop, and implement robust processes and automation.
Conduct testing (unit testing, SIT, UAT) and implementation.
Ensure secure and efficient data fusion, exploitation, and sharing.
Documentation and AdministrationMaintain data dictionaries and workflow processes.
Report for Data Incident Concierge (DIC) and other documentation.
Handle paperwork for data administration, including asset management and procurement of tools.
Collaboration and Continuous ImprovementCollaborate with partners and cross-teams to benchmark best practices.
Drive continuous improvement in data interpretability and searchability.
Develop and maintain tools such as Microsoft Purview.
RequirementsMinimum 4 years of hands-on experience in data engineering, systems implementation, or equivalent roles.
Experience in data integration, analytics, system integration, and working on data pipelines.
Knowledge of information management practices, including data lifecycle management, data modeling, and master data management.
Experience in gathering requirements for data warehouses or similar systems.
Familiarity with Change Management, Risk Management, and Incident Management.
Experience supporting relevant Government Projects and understanding Government Data Governance Standards and Regulations (e.g., IM8, PSGA).
Experience in public health or epidemiology is advantageous.
Technical SkillsetProficient in PySpark, SQL, and/or Python.
Experience with large datasets.
Proficiency in Microsoft Azure and Power BI is advantageous.
Agile or other Project Management Methodology certification is a plus.
JOB SUMMARY
Data Engineer (Azure)
ENFACTUM PTE. LTD.
Singapore
a day ago
N/A
Full-time
Data Engineer (Azure)