Job description:
The Lead / Senior Data Engineer will be located in NETS Singapore and will be responsible for development, testing and implementation of Extract-Transform-Load (ETL) jobs in supporting organizational business analytic and operational needs. This Engineer will also apply proven communication, analytical and problem-solving skills to help identify, communicate and resolve any Big Data system loading issues arising from upstream and downstream domains.
Responsibilities:
- The Lead / Senior Data Engineer develops, tests and implements ETL (Extract-Transform-Load) solutions to meet the business analytic needs for the organization's end users, whilst ensuring both data integrity and accuracy.
- The candidate will also be responsible for requirements gathering, design, development and support for the BigData System reporting solutions in fulfilling business needs.
- The candidate will work closely with end-users and other technology teams in order to ensure data coherence upstream and downstream, and as well as to rectify pain points or gaps in business intelligence delivery.
- The candidate is to adhere to:
- organizational SDLC standards, procedures and techniques.
- organizational Change Management policies and processes for development, testing and implementation
- The candidate will develop ETL jobs by working with columnar databases, Snowflake or other data cloud solutions.
- The candidate will design workbooks/ dashboards based on QuickSight, Power BI or other dashboarding solutions.
- Have an open mind to appreciate, evaluate and if need be, pick up new technologies and frameworks.
- Must be self-directed and accountable for project deliverables
Requirments:
- Degree in Information Technology, Computer Science or related disciplines
- Knowledge in business intelligence design concepts
- Experience in dimensional modelling, ETL design
- A strong working knowledge of SQL language
- Experienced in at least 2 of the following:
- Integrating data from multiple data sources
- Management of common AWS infrastructure and services
- Management of Snowflake infrastructure and services
- Developing dashboards for AWS Quicksight
