Data Quality Engineer
3 weeks ago
We are seeking a highly skilled Data Quality Engineer to join our team in Singapore. The successful candidate will be responsible for ensuring the accuracy and reliability of our clinical service data.
In this role, you will work closely with our engineering and business teams to implement wide-coverage unit tests throughout the data collection and processing pipeline. This includes creating unit tests of inputs to and outputs from our algorithms that drive the clinical service.
You will also implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs. This involves taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service.
Additionally, you will assist in the successful delivery of regular service analytics and reports. This includes supporting the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.
RequirementsTo be successful in this role, you will need:
- A Bachelor's degree in computer science, engineering, business analytics, technology, or a related field.
- Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
- Ability to implement tests in Python.
- Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.
We offer a competitive salary of SGD $8,000 per month, commensurate with experience, and a comprehensive benefits package including medical insurance, retirement savings plan, and paid time off.
About UsTESCOM (SINGAPORE) SOFTWARE SYSTEMS TESTING PTE LTD. is a leading provider of software testing services in Singapore. Our mission is to deliver high-quality software solutions that meet the needs of our clients.
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