JOB DESCRIPTION Role Summary: The Data Engineer supports the implementation of data structure and architecture, master/meta-data management approach and data quality programme to facilitate access to data and information. He/She support the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information from structured and unstructured sources in a scalable, repeatable and secure manner. He/She implements data management standards and practices.
Responsibilities: - Work with stakeholders to understand needs for data structure, availability, scalability and accessibility
- Support translation of data business needs into technical system requirements
- Identify opportunities for improvements and optimisation
- Build data flow channels and processing systems to extract, transform, load and integrate data from various sources
- Develop complex code, scripts and data pipelines to process structured and unstructured data
- Assist with integration of data systems into existing infrastructure
- Test data system configurations to increase efficiency
- Support the handling and logging of errors
- Monitor data system performance
- Automate data collection and analysis processes
- Develop tools to improve data flows between internal/external systems and the data lake/warehouse
- Contribute to defining data retention policies
- Able to administer, design, develop, validate, deploy and maintain ETL tool such as Informatica
Requirements: - Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent.
- At least seven (7) years’ experience in providing data warehouse or advanced analytics solutions, especially in designing large Big Data technologies or analytics solutions.
- Demonstrate good, in-depth knowledge in relevant Extract-Transform-Load (ETL) hardware/software products, frameworks and methodologies
- Experience with
- Databases (e.g. Oracle, MS SQL, MySQL, Teradata,)
- ETL development using Informatica
- Data repository design (e.g. operational data stores, dimensional data stores, data marts)
- Data interrogation techniques (e.g. SQL, NoSQL).
- Structured and unstructured data analytics.
- Data quality tools and processes.
- Data transformation and terminology equivalence mapping.
- Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
- Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
- Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).
- Comfortable working independently to carry out data analysis, estimate data quality and sufficiency.
- Understanding and analysing huge volumes of data drawn from heterogeneous sources / repositories. Experience in working with Big Data technologies / solutions would be preferred.
- Experience with Business Intelligence Tools (i.e. Tableau, Microstrategy).
- Advance knowledge of Excel features and techniques required for the presentation of data.
- The ability to work towards strict and conflicting deadlines be able to plan and prioritise in an environment with multiple stakeholders.
- Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
- A good understanding of Singapore Healthcare System (added advantage)
- Familiarity or experience with health informatics would be preferred.
- An understanding of healthcare data governance, data acquisition and data management would be an advantage.
- Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.
WORK LOCATION
Nearby Transportations
Address
6 Serangoon North Avenue 5 Singapore
