This position sits within the Digital Transformation, Innovation and Data (DTID) Division in A*STAR HQ.

Job Responsibilities

·         Setup and manage the data infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources.

·         Operationalize the ETL (Extract-Transform-Load) data pipelines and ensuring performance and scalability for ingesting and processing data from multiple sources.

·         Support data quality through data profiling and data cleansing with the data owners.

·         Perform data transformation and creation of data mart/stores for effective data governance, cataloguing and sharing.

·         Work with and assist stakeholders, including Data Stewards and Data Scientist, on discovering and preparing the right data sets, support their data infrastructure needs and other data-related issues.

·         Responsible for providing the operational support and maintenance of the data & analytics infrastructure platform and system.

Job Requirements

·         Degree in computer science, information technology, business analytics, data science and artificial intelligence, software/computer engineering or relevant disciplines.

·         Possess at least 2 years of experience working in data pipeline, data ingestion, data integrations, data quality/cleansing, ETL, data catalogue and data warehousing.

·         Good hands-on in scripting and SQL languages, and knowledge in data modelling.

·         Experience in using data management and data warehousing tools such as Snowflake, Denodo and Azure Cloud Data Services etc will be an added advantage.

·         Hands on experience or knowledge of cloud infrastructures such as MS Azure, AWS and GCP

·         Excellent problem solving and troubleshooting skills.

·         Possess good analytical, logical and ability to multi-task in a fast-paced environment.

·         Excellent engagement & inter-personal skills to build and maintain strong and effective working relationships with stakeholders and partners.

·         Excellent oral and written communication skills.

·         Fresh graduates who are keen in data engineering are also welcomed to apply.