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Urgent! Data Engineer - ETL (MOH ITDG) Job Opening In Singapore, Singapore – Now Hiring Synapxe
Develop TRUST data strategy:
Work with stakeholders to understand data analytics needs, data structure requirements (both in terms of scalability and accessibility), and translate this into a coherent near to long term data strategy for TRUST
Support translation of data business needs into technical system requirements for MCDR, in terms of collection, storage, batch -time processing, as well as analysis of information from structured and unstructured sources in a scalable, repeatable, and secure manner
Identify opportunities for improvements and optimisation e.g., Implement best practices and performance optimization on Big Data and Cloud to achieve the best data engineering outcomes
Oversee data preparation and data provisioning for TRUST:
Collaborate with data engineers to organise and prepare anonymised datasets in MCDR according to TRUST standards, and then providing the data in accordance with the approved TRUST Data Request.
This involves working with the data engineers closely to ensure that the datasets meet the required standards and are made available as per the specific data request guidelines set by TRUST
Oversee implementation of common data model and data quality programme in TRUST and MCDR
Work with data analysts, data scientists, clinicians and other stakeholders to implement common data models to support analytics use cases
Design and implement tools to enhance the data strategy and enable seamless integration with the data, potentially leveraging API calls for efficient integration
Implement data management standards and practices
Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent
At least ten (10) years of relevant working experience in Data management / Integration / Modelling the data warehouse or advanced analytics solutions
Demonstrate good, in-depth knowledge in relevant Extract-Transform-Load (ETL) hardware/software products, frameworks, and methodologies
Experience in designing and implementing cloud-based data solutions using cloud platforms (e.g., AWS cloud native tools)
Databases (e.g., Oracle, MS SQL, MySQL, Teradata)
Big data (e.g., Hadoop ecosystem)
ETL development using ETL tools (e.g., Informatica, IBM DataStage, Talend)
Data repository design (e.g., operational data stores, dimensional data stores, data marts)
Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level
Comfortable working independently to carry out data analysis, estimate data quality and sufficiency
Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team
The following will be preferred: Some understanding of Singapore Healthcare System and healthcare data governance, management; and/or familiarity with health informatics
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 33753 jobs in Singapore and 28966 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Synapxe is currently hiring and seeking a Data Engineer ETL (MOH ITDG) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Synapxe adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer ETL (MOH ITDG) Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer ETL (MOH ITDG) typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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