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Data Engineer - ETL (MOH ITDG)
Data Engineer - ETL (MOH ITDG)Synapxe • Queenstown, Otago, New Zealand
Data Engineer - ETL (MOH ITDG)

Data Engineer - ETL (MOH ITDG)

Synapxe • Queenstown, Otago, New Zealand
30+ days ago
Job description

Work with stakeholders to understand data analytics needs, data structure requirements, 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.

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.

Requirements

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).

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.

Some understanding of Singapore Healthcare System and healthcare data governance, management; and / or familiarity with health informatics is preferred.

We are an equal opportunities employer and welcome applications from all qualified candidates.

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Data Engineer • Queenstown, Otago, New Zealand

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