Requirements for Data Engineer:

Responsibilities:

Working with a back-office development team, you will be responsible for the design and delivery of the software solution for a high volume and performance intensive back office of an Automatic Fare Collection (AFC) system.

The activities required to be performed shall include the following:

• Requirements gathering;
• Design, development, and maintenance of the software;
• Preparation and submission of deliverables throughout the software development lifecycles such as Business Rules, Software Requirement Specifications, Software Architecture Document, Design Specification, Interface Specifications, Source Codes, Testing Specification, Operation and Maintenance Manual, Training Manual and others documents as required in the standard adopted by the Authority;
• Assist the Authority with day-to-day application support issues; and
• Liaise with users on the requirement, design and testing issues.

Qualifications & Requirements:

• Recognised degree in Computer Science, Data Analytics / Science, IT or engineering with relevant experience in software development;
• Gone through at least one full software development lifecycle (SDLC) with experience in producing SDLC documentations;
• Experience in analysing requirements, designing, development and delivering complex enterprise applications in Java, web programming on UNIX / LINUX and Windows environment;
• Extensive experience in web-based applications development and database application interfacing (JDBC, SQL);
• Experience in Agile development methodology;
• Experience in DevSecOps and CI/CD;
• Experience in testing (unit, integration, and end-to-end) to ensure system stability and reliability;
• Experience in Automatic Fare Collection (AFC) system will be an added advantage;
• Experience in EMV and Payment Card Industry Data Security Standard (PCI DSS) will be an added advantage;
• Design and documentation such as UML modelling;
• Strong analytical and problem-solving skills; and
• Good written and verbal communication skills in English.
• Advanced knowledge of SQL and star schema design, and Snowflake;
• Experience in Data Analytics techniques such as clustering, timeseries analysis and anomaly detection;
• Experience in creating Python programmes for data transformation and analysis, dataframe programming using Pandas and Snowpark;
• Experience in developing in AWS environment, and familiarity with AWS Sagemaker will be an added advantage;
• Experience in dashboarding libraries such as Streamlit or Tableau will be an added advantage;
• Experience in creating Java API microservices with Spring Boot will be added advantage.