Job Description
We are looking for an experienced data engineer (DE) with a strong sense of social mission. You will report to the Head of Data & Analytics, who is accountable to the NHealth and NTUC First Campus Chief Strategy and Transformation Officer. As an experienced DE, you will contribute to NHealth’s mission of delivering trusted care for individuals and families by helping the organisation harness the value of her data. In your work, you will design and implement efficient data infrastructure and data models, build data pipelines from diverse source systems, and safeguard the security of the organisation’s datasets, all in a cloud-based environment. Together with the data analysts on your team, you will have opportunities to work with senior leadership on high impact data products and projects within NHealth and potentially across other NTUC social enterprises. In addition to your individual DE deliverables, you are required to have a data analytics mindset and be able to provide guidance to junior data analysts on strategic data products to build. The ideal candidate is a data engineer who has a knack for data problem solving, and is proficient in translating business requirements into technical implementations.
Duties and Responsibilities
- Set up data infrastructure, data pipelines, integrate source system data with data lakes and data mining models into data pipelines.
- Design, build, support and optimize new and existing data models and ETL/ELT processes, including the ETL/ELT from source system to data lake and those within the data lake
- Develop and support the data pipeline to integrate data from new data sources with emerging data technologies.
- Define and manage SLA, data quality for all data sets in allocated areas of ownership
- Maintain and optimize the performance of data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making.
- Work with business users and tech team to understand the context and meaning of NHealth’s data
- Identify high impact data products/analytics projects through scoping with end users
- Exercise leadership in guiding junior analysts to scope, plan, design and execute projects
Requirements
Requirements
- Strong interest in understanding and solving business problems with data
- Bachelors/Masters in Computer Science, Engineering or related field
- Relevant work experience as Data Engineer or related field
- Experience with Data Analytics Infrastructure. 2-3 years’ experience in designing, building and operationalizing medium to large scale data integration projects with Google cloud or AWS services
- Familiarity with SQL and one or more data Lake, Data Warehouse, RDBMS technologies (e.g. PostgresSQL, MSSQL, Oracle, SAP Hana, Hive, etc.)
- Able to work independently with large and multiple data sets from various business processes and systems, to support the business in achieving strategic objectives
- Familiarity with python or any equivalent programming language
- Has some experience in stakeholder management, project management and leading 1-2 personnel
- Self-starter, able to work independently to drive and deliver projects
