Total 4 construction job vacancies in Information Technology category in D25 Kranji, Woodgrove, Woodlands

Roles and Responsibilities

1) Supervision of excavation works for pile cap, pwcs, ups, uts, ugs;

2) Specialist supervision for window, railing, vehicle impact ramp etc (if needed to);

3) PE assignee (must be RE) for LTA railway protection zone, tower crane installation, tower crane operation, excavation near MRT 1streserve zone, piling near MRT 1st reserve zone, any works that need standing supervision for LTA railway protection zone.

Requirement

1. Degree in Civil Engineering or relevant Engineering

2. Min. 3 years’ experiences.

3. RE registration with IES

Job Description

● Data Pipeline Construction: Design, construct, install, test, and maintain highly scalable data management systems. This includes building and maintaining robust, error-free data pipelines.

● Data Flow Optimization: Work to enhance data flow and collection to improve data reliability, efficiency, and quality.

● Machine Learning Pipeline: Construct and maintain machine learning pipelines, ensuring they meet organization needs and adhere to necessary standards.

● Big Data Handling: Implement systems and tools to deal with big data. Leverage systems such as Kafka, Spark, and Flink for big data processing.

● Cloud Computing: Use cloud resources effectively to streamline data processing, especially Azure Cloud Services.

● Dashboarding: Build interactive, insightful dashboards to communicate data and results to stakeholders.

● Team Collaboration: Collaborate with data scientists and architects on several projects. Translate complex functional and technical requirements into detailed design.

● Documentation: Create and maintain optimal data pipeline architecture and create data tools for analytics and data scientist team members.

Job Summary:

We are seeking a skilled and versatile individual to join our team as a Data Analyst cum IT. In this role, you will be responsible for leveraging your expertise in information technology and data analytics to support our organization's operations and decision-making processes. You will play a crucial role in collecting, analysing, and interpreting data to identify trends, patterns, and insights that will drive business growth and optimization.

Responsibilities

1. Data Analysis:

• Collect, clean, and transform data from various sources to ensure accuracy and reliability.
• Apply statistical techniques and data mining methods to analyse large datasets and derive actionable insights.
• Develop and implement data models, algorithms, and visualizations to present findings effectively.

2. IT Support:

• Provide technical support and troubleshooting for hardware, software, and network-related issues.
• Manage and maintain the organization's IT infrastructure, including servers, databases, and software systems.
• Collaborate with cross-functional teams to identify and implement technological solutions that enhance operational efficiency.

3. Reporting and Presentations:

• Prepare comprehensive reports and presentations to communicate analytical findings and recommendations to stakeholders.
• Develop and maintain dashboards and data visualizations to track key performance indicators (KPIs) and metrics.
• Ensure data accuracy and integrity by establishing quality control measures and data validation processes.

4. Data Privacy and Security:

• Ensure compliance with data protection regulations and implement security measures to safeguard sensitive information.

Qualifications:

• Diploma or Degree in Computer Science, IT or Computer Engineering
• Strong analytical and problem-solving skills with a keen eye for detail.
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Experience in data visualization tools (e.g., Tableau, Power BI) to create insightful and visually appealing reports.
• Ability to work independently, manage multiple priorities, and meet deadlines.
• Strong ethical standards and commitment to data privacy and security.

Job Summary:

We are seeking a skilled and versatile individual to join our team as a Data Analyst cum IT. In this role, you will be responsible for leveraging your expertise in information technology and data analytics to support our organization's operations and decision-making processes. You will play a crucial role in collecting, analysing, and interpreting data to identify trends, patterns, and insights that will drive business growth and optimization.

Responsibilities

1. Data Analysis:

• Collect, clean, and transform data from various sources to ensure accuracy and reliability.
• Apply statistical techniques and data mining methods to analyse large datasets and derive actionable insights.
• Develop and implement data models, algorithms, and visualizations to present findings effectively.

2. IT Support:

• Provide technical support and troubleshooting for hardware, software, and network-related issues.
• Manage and maintain the organization's IT infrastructure, including servers, databases, and software systems.
• Collaborate with cross-functional teams to identify and implement technological solutions that enhance operational efficiency.

3. Reporting and Presentations:

• Prepare comprehensive reports and presentations to communicate analytical findings and recommendations to stakeholders.
• Develop and maintain dashboards and data visualizations to track key performance indicators (KPIs) and metrics.
• Ensure data accuracy and integrity by establishing quality control measures and data validation processes.

4. Data Privacy and Security:

• Ensure compliance with data protection regulations and implement security measures to safeguard sensitive information.

Qualifications:

• Diploma or Degree in Computer Science, IT or Computer Engineering
• Strong analytical and problem-solving skills with a keen eye for detail.
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Experience in data visualization tools (e.g., Tableau, Power BI) to create insightful and visually appealing reports.
• Ability to work independently, manage multiple priorities, and meet deadlines.
• Strong ethical standards and commitment to data privacy and security.