178-002 Data Engineer

Join our back-office development team and take the lead in designing and delivering high-performance software solutions for the Automatic Fare Collection (AFC) system’s back office. This role focuses on handling high-volume, performance-intensive operations critical to the system's success.

Your key responsibilities will include:

• Gathering and analyzing software requirements from stakeholders.
• Designing, developing, and maintaining robust, scalable software solutions.
• Preparing and submitting comprehensive deliverables throughout the software development lifecycle, such as Business Rules, Software Requirements Specifications, Architecture and Design Documents, Interface Specifications, Source Code, Testing Plans, Operation & Maintenance Manuals, Training Materials, and any additional documentation required by the Authority's standards.
• Providing daily application support and troubleshooting assistance to the Authority.
• Collaborating with end users to clarify requirements and resolve design and testing issues.

Requirements:

• A recognized degree in Computer Science, Data Analytics/Science, IT, or Engineering, with relevant software development experience.
• Hands-on experience completing at least one full Software Development Lifecycle (SDLC), including producing all required SDLC documentation.
• Proven ability to analyze requirements, design, develop, and deliver complex enterprise applications using Java and web technologies on UNIX/Linux and Windows platforms.
• Strong background in web application development and database integration using JDBC and SQL.
• Familiar with Agile development methodologies.
• Experience with DevSecOps practices and implementing CI/CD pipelines.
• Skilled in various testing techniques—unit, integration, and end-to-end—to ensure robust and reliable systems.
• Bonus: Experience with Automatic Fare Collection (AFC) systems.
• Bonus: Knowledge of EMV standards and PCI DSS compliance.
• Proficient in creating design documentation, including UML modeling.
• Strong analytical thinking and problem-solving skills.
• Excellent verbal and written communication skills in English.
• Deep expertise in SQL, star schema design, and Snowflake data warehousing.
• Skilled in data analytics techniques including clustering, time series analysis, and anomaly detection.
• Proficient in building Python programs for data transformation and analysis using Pandas and Snowpark.
• Hands-on experience developing in AWS environments; familiarity with AWS SageMaker is a plus.
• Bonus: Experience with dashboarding tools like Streamlit or Tableau for data visualization.
• Bonus: Experience in building Java API microservices with Spring Boot.