[1 year contract, renewable]

As a Data Scientist within the VICA team, you'll play a pivotal role in shaping the future of citizen engagement through data-driven insights. You'll be responsible for analyzing user interactions, optimizing chatbot performance, and developing advanced functionalities to enhance user experience.

About VICA

VICA (Virtual Intelligent Chat Assistant) is a government-developed platform powering chatbots across various Singaporean agencies. It leverages Natural Language Processing (NLP) and machine learning to provide citizens with convenient access to information and services.

Responsibilities:

· Develop and refine machine learning models to improve chatbot performance in tasks such as intent classification, dialogue management, and sentiment analysis.

· Experiment with different models and algorithms to achieve optimal results.

· Collaborate with engineers to integrate models into the VICA platform.

· Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.

· Utilize statistical techniques and visualization tools to communicate findings effectively.

· Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

· Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.

· Explore cutting-edge NLP methods to enhance chatbot capabilities.

· Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.

· Propose and implement innovative solutions to address chatbot challenges and improve user experience.

· Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:

· Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).

· Minimum 1 year of experience in data science with a focus on NLP.

· Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.

· Strong understanding of Natural Language Processing (NLP) concepts and techniques.

· Experience working with real-world, large-scale datasets.

· Excellent communication and collaboration skills.

· Ability to work independently and manage multiple projects simultaneously.

· Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

About Synechron:

Synechron Singapore is a leading consulting and technology services firm specializing in the financial services sector. Our Singapore office focuses on delivering innovative digital transformation solutions to top-tier banks, insurers, and capital markets. We cultivate a diverse and inclusive environment where talent thrives, offering opportunities for professional growth and development. With access to cutting-edge technologies, our teams work collaboratively to create impactful solutions that enhance operational efficiency and customer experiences. Synechron Singapore is committed to excellence and actively engages in community initiatives, making a positive impact in the region. Join us to shape the future of financial services and technology

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 6+ years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

At Synechron, we recognize that diversity is essential to our success. We are committed to fostering an inclusive environment where all employees feel valued and empowered to share their unique perspectives. We embrace differences in race, ethnicity, gender, sexual orientation, age, religion, disability, and cultural background, understanding that these attributes enrich our workplace and enhance our service to clients.

Our initiatives aim to promote equal access to opportunities and ensure that diverse voices are heard. By championing diversity and inclusion, we strengthen our ability to innovate and meet the challenges of the financial services industry

Responsibilities:

1. Monitor real-time security operations at overseas IDC, including personnel and asset surveillance. Respond promptly to security incidents, coordinate, and follow up on incident handling to ensure stable, secure, and efficient overseas data center operations.

2. Develop and optimize operational management standard procedures, and establish the framework for IDC security operation management systems. Enhance the standardization of global data center operations.

3. Oversee the construction of the IDC alarm, incident, risk, and drill management system. Drive execution through data-driven approaches, and facilitate the evolution towards automation and intelligence.

4. Collaborate in optimizing the security operation management platform, contributing to the development of automation tools for centralized and refined management of global IDC.

Requirements:

1. Bachelor's degree or higher, with a preference for a major in computer/electronics.

2. Over 2 years of relevant work experience, demonstrating operational and management expertise in large-scale security service projects.

3. Familiarity with security incident emergency response processes. Ability to track, analyze, handle, and resolve various security issues and incidents. Understanding of relevant security standards, regulations, and security systems.

4. Preferably with a background in the security industry or a large security services company.

5. Proficient in both Chinese and English languages.

As a marketing data analyst with a strong background in data analysis, you will report to the Head of Digital Marketing in MSIG Asia. You will work with local marketing teams in business units (BUs), which are insurance companies in countries and territories in the region, to analyse customer data, identify marketing opportunities, and track campaign status. You will play a pivotal role in bridging the gap between raw data and strategic marketing actions. With your expertise in marketing analytics, you will support campaign design and execution, reporting and tracking end-to end campaign funnel, and reviewing campaign effectiveness.

Key Responsibilities

• Data Analysis & Insights: Use data to uncover actionable insights, optimise campaigns, and inform strategic decisions across our marketing initiatives.
• Campaign Optimisation: Develop and apply data models to optimise performance marketing channels (e.g., social media, email campaigns, website analytics). Monitor and evaluate the effectiveness of marketing campaigns.
• Reporting & Visualisation: Utilise statistical tools and techniques to analyse data and generate actionable insights. Provide insights and recommendations to improve customer acquisition, retention, and engagement.
• Collaboration: Partner closely with marketing teams in the BUs in the region to design and implement data-driven marketing strategies and integrate data insights into business strategies.
• Customer Segmentation: Leverage customer data to drive segmentation strategies and targeted marketing efforts, focusing on personalisation and customer journey enhancements.

Requirements

• 7+ years' experience working within a similar role in digital marketing with a focus on data analytics in any consumer products and service industry is required. Solid understanding of digital marketing channels, metrics, and optimisation techniques.
• Proficiency in data analytics and visualisation tools (Excel, Google Analytics, Power BI, Tableau, etc.)
• Experience with SQL, Python is a plus
• Familiarity with CRM systems (e.g., MS Dynamics, Salesforce)
• Understanding of insurance or financial marketing principles and practices is preferred.
• Experience working with large datasets and knowledge of data warehousing.
• Ability to understand a system architecture, a company system architecture and the best practices of other companies, and to consider and promote sustainable architecture.
• Knowledge of statistics required to understand and utilise internal and external data. This includes understanding testing and statistical analysis methods, as well as having practical knowledge to optimally apply these methods.
• Ability to transform complex data into actionable insights that drive business decisions.
• Strong communication skills, with the ability to present findings and recommendations to non-technical stakeholders.
• Team player with the ability to collaborate cross-functionally and lead cross-functional projects.
• Highly organised and detail-oriented, with strong problem-solving skills and ability to adapt to deadlines.

"• Dedicated as well as hard working individual with the intercommunication skills to work at all the level of organization.
• Possess an in-depth knowledge of data center infrastructure technology and components for installation.
• Working knowledge of Data Centre Mechanical & Electrical for operation.
• Vendor management.
• Extensive knowledge garnered working as a Data Center Operator
• Thorough knowledge of Data Center Operations with strong knowledge of Operations methodology.
• Experience in eye-ball checking of system faults and failures
• Good technical knowledge on Data Centre monitoring tools.
• Strong written and excellent communication skills."

Must have Talent / Skills

Ever work in Data Centre

"• ITIL Process Knowledge
• WOG experience "

About Ampol Trading & Shipping

Our purpose at Ampol is to power better journeys today and tomorrow. Our Trading and Shipping team is key to achieving this, not only supplying our customer’s needs today, but evolving as the energy transition takes place to supply our customers well into the future.

We take pride in our people and value innovation, sustainability, and customer satisfaction. If you’re a professional committed to excellence, Ampol is looking for you.

About the role

This position will be responsible for working with large and disparate data sets, internal and external, quantitative, and qualitative, structured and unstructured to support the management of data across the entire data lifecycle. This role requires a combination of technical expertise, leadership skills and strong focus on data governance practices to ensure the successful delivery of the Data Product Roadmap.

The data engineer brings expert understanding of data and modern data processing technologies to prepare and deliver data assets which support high priority projects.

This position is a part of theData Product Team, which is responsible to delivering on the prioritised T&S Data roadmap to meet strategic objectives. aligned to the Trading & Shipping organisation.

Key responsibilities

• Working with the key stakeholders to define data requirements for projects

• Perform data acquisition/ingestion from internal and external sources, including both structured and unstructured data sources (incl. multi-dimension data, text/documents, geospatial data and graph)

• Performing descriptive analytics and data visualisation to share data insights or validate data with stakeholders. Prepare data quality reports

• Develop data transformations and modelling to prepare data sets for consumption for various end uses including reporting or advanced analytics.

• Develop and maintain productionised data outputs/products to support ongoing uses

• Working in a highly agile and flexible environment to deliver outputs in short time frames

• Document technical specifications of data pipelines and technical products delivered

• Develop working understanding of Ampol systems, data, and uses, as a data SME

• Data Strategy and Planning- Continuously develop and enhance Ampol data strategy and architecture and roadmap to ensure alignment to business requirements and overall company vision.

• Data Exploration and Analysis- Explore data to identify patterns, trends and insights. Perform quantitative and qualitative analysis to answer specific business questions and to gain a deeper understanding of data.

• Data Pipeline Development- Build and maintain data pipelines to move and transform data from various sources into Snowflake with assurance that data ingestion is reliable, scalable and optimized for performance.

• Data Modelling and Design- With requirements from business, design and implement data models within Snowflake, including schema design, table structures and data partitioning to support high performance, low latency querying and analytics.

• Data Quality and Integrity- Enforce data quality checks and validation during data ingestion process to ensure accuracy and integrity of data in Snowflake.

• Support Continuous Improvement in Data Product- Support the Commercial Analytics in advancing continuous improvement in the data space, including team engagement to generate awareness of initiatives and track progress.

• Monitoring and Maintenance- Proactively monitor data pipelines and the overall health of Snowflake data infrastructure to identify and resolve issues.

• Automation and Orchestration- Automate data workflows and orchestrate data processes to minimize manual intervention and improve operational efficiency.

• Collaboration with Data Users- Work closely with data analysts, data engineers, and business users to understand their data requirements and provide necessary data support.

Capabilities

• Big Data Engineering – familiarity in designing and developing data processes on cloud based big data platforms

• Data Quality – experience in managing data quality controls to support the completeness and accuracy of data

• Strong understanding of data structures and designing conceptual, logical and physical data models

• Understanding of Information Management, Data Governance, Data Security and Privacy concepts (covered by respective Ampol policies)

Qualifications & experience

• Tertiary qualifications in Computer Science or similar.

• Qualifications or experience in mathematics or statistics highly regarded

• 2+ years of industry experience working as a data engineer to develop data products using SQL, Python, and Spark

• Data modelling experience including ETL

• Data quality management

• Experience with a range of Data platforms (Hadoop, Spark, SQL Databases)

• Experience performing descriptive analytics and developing data visualisation (Power BI, Tableau, Shiny, etc)

• Experience working to support advanced analytics products is desirable

Skills & Knowledge

• Expertise in SQL, Python, and Spark

• Experience with Snowflake (3–7 years) and data pipeline management

• Proficiency in data modeling, relational databases, and query optimization

• Strong understanding of git flow and version control systems

• Knowledge of data governance and data quality principles

• Effective communication and ability to collaborate with cross-functional teams

• Tertiary qualification in Data Analytics or related field

• Strong problem-solving skills and ability to deliver valuable data insights

• Ability to adapt to changing priorities and learn new technologies quickly

• Experience in downstream oil or petroleum trading (desirable)

• Familiarity with advanced analytics, machine learning, and big data technologies

• Working knowledge of Docker, Kubernetes, and noSQL technologies

• Self-motivated with a focus on continuous improvement and innovation

At Ampol, we’re committed to creating a workplace where everyone feels valued and respected. We embrace and celebrate diversity in all its forms, recognizing that it makes our organization stronger. We encourage applications from people of all ages, backgrounds, identities, and experiences. We invite you to bring your whole self to Ampol.

Want to take your career to the next level? Apply today. 

Eduquest International Institute is a Registered Training Provider by SkillsFuture Singapore (SSG) to offer high quality, industry-relevant skills-based training programmes leading to the Singapore Workforce Skills Qualifications (WSQ).

We provide ample opportunities for all our staff to upskill and reskill during their tenure with us.

We are looking for passionate trainers who can train and assess candidates in Data Visualisation Tools and Techniques, Including Emerging tool Google Data Studio

Requirements:

• Familiar with emerging Data Visualisation Tools and Techniques from a business analytics context.
• Able to train with effective presentation skills on insights and trends by organizing and consolidating graphs into dashboards. Examine insights with stakeholders and interpret analytics with subject matter experts by designing Interactive visualizations with dashboard control and parameters.
• Familiar with digital methods of learning, including Synchronous and Asynchronous e-learning and e-assessment
• Min 3 years experience in relevant field
• He/she should have a relevant polytechnic diploma or higher qualification (Minimum ICT polytechnic diploma or higher qualification in ICT)
• ACLP or ACTA is a must.
• Rate: per day basis

If you have what it takes to be an awesome trainer, please write to us!

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Responsibilities:

Responsible for supporting the operation and maintenance of the M&E Services (e.g power, cooling, space and asset inventory) within the Data Center in a 24/7 mission critical environment for two sites.

• Provide leadership and guidance to teams and responsible for the performance of the team and delivery of Service Level Agreement
• Oversee the day-to-day operation and manage a team of engineers and to be on standby with 24/7 on-call emergency response and availability.
• Maintaining M&E Services infrastructure and coordinating with vendors.
• Manage and plan for MEP preventive, corrective, and predictive maintenance.
• Manage and plan for annual shutdown.
• Manage expenses and P&L.
• Prepare monthly reports and conducts meetings
• Manage contractors and projects.
• Manage client enquiries and requests.
• To obtain and maintain management system certifications, including but not limited ISO 9001 Quality Management Systems, ISO 14001 Environmental Management Systems, ISO 27001 Information Security Management, ISO 45001 Occupational Health and Safety Management Systems and bizSAFE Star certification within 2 years from Commencement Date.
• To review and approve maintenance master plan for planned preventive maintenance, cyclical parts replacement, major maintenance and overhaul works.
• To act as the 2nd level of escalation for ensuring that Employer's call for attendance to Incident is answered within the duration stipulated.
• To review, approve and submit Incident report with root cause analysis as stipulated under Schedule 8 within the duration stipulated.
• To review the quality of documentation submitted for raising Request For Change.
• To review, approve and submit quotations for corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• To review turnaround time and quality of corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• Perform any other adhoc duties.

Requirements:

• Minimum 8 years data center facilities experience.
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System.
• Good customer management and communication skills.
• Responsible and accountable for profit and loss of the sites.
• Work independently with minimum of supervision.
• Strong written and verbal communication skills; must communicate effectively and in a professional manner.
• Plans and tracks preventive maintenance plan, cyclical maintenance plan and other related events closely.
• Analytical and problem-solving skills.
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting.
• Proficient in Microsoft Office.

• Design and implement methods, processes, and systems to aggregate and analyze diverse, unstructured data, providing actionable insights for management.
• Develop software programs, algorithms, and automation tools to clean, integrate, and analyze large datasets from multiple sources.
• Work closely with business experts to enhance data and uncover valuable insights to create practical solutions.
• Automate repetitive data tasks to streamline processes and minimize manual work.
• Create clear and effective data visualizations to communicate findings and recommendations to stakeholders.
• Stay informed on the latest developments and best practices in data science, machine learning, and AI.
• Assist the Global IFF Business Control team with various tasks and project requirements.
• Support administrative duties and handle ad-hoc tasks assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Job Summary

We are looking for a Data Analyst to assist the analytics delivery team and support the various Business Units within Data Management Office for a reputed bank.

Mandatory Skill-set

• Minimum Master/bachelor’s degree in Analytics, Computing, or a related discipline;
• 3 years of experience in analytics or data engineering field preferably in banks or the financial industry;
• Good knowledge of data analytics concepts & techniques, including data architecture, data transformation, data modeling, and visualization;
• Experience in database management namely MySQL, Oracle or others;
• Possess good analytical skills and problem-solving skills;
• Able to conduct issue investigation and root cause analysis;
• Strong communication skills and team player; able to work with business stakeholders directly on requirements gathering or issues investigation;
• Proficient in MS Excel, MS Word, and MS PowerPoint.

Desired Skill-set

• Big Data platforms such as Hadoop, Hive, Impala, Oozie, etc;
• Analytics tools such as Qliksense, Power BI, etc;
• Banking products and processes.

Responsibilities

• Work with the respective business functions to understand and analyze their analytics needs;
• Conduct necessary data sourcing and profiling to understand relevant data sources and structure;
• Propose and design the appropriate end-to-end analytics solution including data modeling, data transformation, and visualization;
• Assist and coordinate the relevant project activities including project planning, workgroup meetings, user training, and support;
• Prepare the relevant project documentation including functional specifications, testing cases, project demos, and user training materials;
• Provide necessary support to businesses on data issues investigation and ad-hoc data requests.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

TikTok Business Integrity team is at the core to power monetization drive for TikTok on a global scale. The team builds the foundation to safeguard our advisement platform and use cutting-edge technologies to bring the most value to our users as well as business partners. In Singapore, we commit to uphold the integrity of the platform by taking advantage of human insights to know more about advertisers and use signals to optimize the tradeoff between risk and advertiser experience.

Responsibilities

- Work with large, complex data sets. Solve difficult, non-routine integrity analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

- Build and prototype analysis pipelines iteratively to provide insights at scale.

- Develop comprehensive knowledge of Tiktok data structures and metrics, advocating for changes where needed for product development.

- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

- Research and develop analysis, forecasting, and optimization methods to improve the quality of TikTok ads products.

Minimum Qualifications

- Master's degree or PhD in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.

- 5+ years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.

- Experience with statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL)

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.

Preferred Qualification

- Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives
• Exposing machine learning models via APIs with which other apps may interact
• Work on API and integrate systems.

Requirements:

• Master / Bachelor’s degree in computer science, computer engineering, or relevant field.
• Minimum of 4+ years’ experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be preferred.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.

Thanks,

Rajkumar

EA Licence Number: 23C2060 Registration ID is R1983662

Want to be a part of the fastest growing startup to help make a difference in our environment? Cedars Digital is looking for a Data Scientist (AI) to be part of our growth!

We are a passionate team that is excited about building carbon management solutions & the potential to disrupt with the latest AI technologies. We are looking for like-minded individuals to join our Engineering team - if you have the passion in creating an impact and/or are keen in the space of environmental sustainability, we want you!

Here is what you are expecting to be doing:

• AI solution development and strategy implementation for improving the process of laborious operations including but not limited to ESG consultant operation time.
• Conduct research and POC to stay up-to-date with the latest advancements in AI and integrate new techniques into projects.
• Design and optimize chatbot systems with LLM and prompt engineering for the efficiency of internal business processes.
• Develop and enhance recommendation systems to provide carbon factors.
• Collaborate effectively with AI/ML engineers, PM and others to deliver high-quality AI solutions.
• Ensuring reproducibility, scalability, and reliability of ML models.
• Experiencing a wide range of end-to-end ML development life cycle, including framing AI problems, data collection/preprocess/exploration, model development/evaluation.
• Learn state-of-the-art AI techniques and skills to efficiently conduct POC.

Skills that will help you in this role:

• MS in Math, Stats, CS or Engineering related fields.
• 2-5+ years of experience in AI development, with a proven track record of successful projects.
• Excellent problem-solving and analytical skills, with the ability to tackle complex challenges.
• Experienced in Deep Learning Framework (Pytorch or Tensorflow), Machine Learning and open-source platform e.g. ONNX, Hugging Face.
• Deep knowledge of ML/AI algorithms and their limitations and applications.
• Strong communication and teamwork skills with a collaborative approach to deliver.
• Programming skills in Python and experience with version control systems like Git.
• Solid experience in developing and fine-tuning models.
• Bonus, but not a must: Familiarity with Natural language processing (NLP) and Computer vision domain. Familiarity with docker/K8s and cloud service e.g. GCP, Azure and Amazon. Ability to build testing environment for POC

Why join Cedars Digital?

Come onboard this journey of transformation. Cedars Digital’s exclusively developed AI carbon emission calculation system involves the integration of AI algorithms and big data analysis. Through this, we aim to help enterprises complete greenhouse gas inventories and product carbon footprint calculations. We have big dreams as we want to be able to help them adapt to global carbon policies and enhance their sustainable competitiveness. Working with a vibrant and closely knitted team like ours provides you an environment to discover and develop your potential. With many learning opportunities, you get the chance to further your own personal and career development with us.

This role is 1-year contract role (till 31 Dec 2025).

Job Responsibilities:

• Perform administrative duties including data entry, filing, and retrieving of files.
• Letters preparation, checking on letters and documents.
• Scanning and indexing documents
• Sorting & dispatch of documents
• Creation of records and Input of security documents information in system
• Comply with the Company’s and/ or customer’s Workplace Safety and Health (WSH) requirement, guidelines, and relevant codes of practices.
• Other ad-hoc administrative duties as assigned by Superior.

Job Requirement:

• At least Diploma in any field.
• Minimum 1 year working experience in an office and or data entry working environment.
• Candidates without relevant experience may be considered based on merit.
• Basic computer knowledge and skill, preferable knowledge in Microsoft office (excel and/ or word)
• Must be able to communicate in English.
• Good attitude, willing to learn and able to follow instructions.
• Able to perform overtime work as and when required.
• Working Location: Jurong East or Changi Business Park. (This role will be deploying to Customer's premises)

The Routing Data Analyst will support the Global Carrier Network Operations function

through the analysis of data and trends about quality, cost, and client traffic behaviour of our

SMS and Voice Products. This key-role will help the Vonage API platform, to onboard

customers’ traffic, optimise Cost or Quality, and a fine balance between the two.

You will

● Own part of the Routing table for the Global Carrier Network team (Use/Create insights

from available data, Analyse data for decision making) with focus on Quality and Cost.

● Perform complex analysis: type of traffic, Cost VS Quality, Price.

● Resolve Quality Alerts to maintain QoS according to given industry standards.

● Manipulate and transform the routing table’s selections for optimising Cost or Quality for

new and existing customers for a set of regional countries.

● Identify solutions/improvements of our internal tools and work with key stakeholders

(Product/Engineering) to eliminate blockers of day-to-day tasks.

● Provide Data analysis for other function stakeholders (Product, Engineering, Sales etc) to

support cross-functional needs.

● Perform operational day-2-day tasks and work towards continuous maintenance of the

service levels specified for our SMS of Voice termination SLOs with internal and external

stakeholders.

Essential for the Role (Must Have)

● Educated to degree level.

● At least 2-3 Years of experience on Cost/Price or Voice and SMS routing or Tech

Support position.

● Proficient in MS Office/Google equivalent data analysis Tools.

● Exposure to Business Intelligence tools (e.g. PowerBI, Tableau etc) or similar.

● Strong analytical skills.

● Ability and willingness to work in a global, fast-paced environment.

● Flexible with the ability to adapt working style to meet objectives.

● Excellent communication and analytical skills.

Nice to have for the Role:

● Project Management experience

● Telecommunications industry exposure.

● API and Cloud communications Industry exposure.

● Confluence JIRA tool

● Zendesk ticketing system.

Note: The role requires working 1-2 weekends or bank holidays per calendar month.

Job Description:
We are seeking a skilled Data Engineer with expertise in AWS cloud computing and database administration to join our team. In this role, you will design, implement, and manage scalable data solutions while maintaining and optimizing databases to ensure high performance and reliability..

Job Responsibilities:

• Design, deploy, maintain, and optimize database systems (Oracle, MySQL, SQL Server), including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response time, stability, and reliability.
• Plan and expand database capacity to ensure scalability and meet business requirements.
• Deploy and manage cloud infrastructure on AWS, including servers, networks, storage, and other resources, to provide a stable and reliable environment.
• Create, configure, and maintain AWS services to align with business needs, selecting appropriate services based on requirements.
• Implement and manage monitoring tools to track the performance and operational status of databases and AWS environments, proactively identifying and resolving potential issues.
• Collaborate with cross-functional teams to deliver efficient, scalable, and reliable cloud and database solutions.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, or related fields.
• Minimum of 3+ years of experience in database administration (with hands-on experience in Oracle, MySQL, or SQL Server).
• Strong experience with AWS services and managing cloud infrastructure.
• In-depth knowledge of database performance tuning, troubleshooting, and optimization techniques.
• Familiarity with cloud networking concepts and using monitoring tools for AWS environments.
• Strong communication and problem-solving skills to handle technical challenges effectively.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Senior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As a Senior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take on a pivotal role in establishing and growing a local team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS/Databricks)

· Assist in the maintenance of an existing data infrastructure (Azure SQL MI)

· Assist in the design and architecting of ETL/ELT pipelines, data schemas/models, and data marts for business users.

· Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

· Provide leadership, guidance, and oversight to junior data engineers.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 4+ years of experience in data engineering

· 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· 1+ year of experience with Agile/DevOps tools (Git, Jira).

· Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.

· Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.

· Background in the shipping/maritime or chemicals industry.

· Previous leadership experience as a lead engineer.

· Experience with PowerBI and Plotly.

Responsibilities:

• Design and implement systems to consolidate and analyze diverse, unstructured data, delivering actionable insights for management.
• Develop software, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets.
• Collaborate with business experts to enrich data and uncover insights for actionable solutions.
• Automate repetitive tasks to enhance efficiency and reduce manual efforts.
• Create visualizations to clearly communicate findings to stakeholders.
• Stay informed on trends in data science, machine learning, and AI.
• Assist Global IFF Business Control with projects and tasks as required.
• Handle administrative and ad-hoc duties assigned by the HOD.

Requirements:

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• At least 1-2 years of experience in a data science role.
• 1-2 years of working experience in a similar industry is preferred
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Experience with data visulization tools (e.g., PowerBI) and the ability to effectively communicate complex analysis results to non-technical stakeholders.
• Strong problem-solving and analytical thinking skills, with the ability to translate business questions into data-driven solutions.
• Proficiency in Microsoft tools and applications.

Interested candidates who wish to apply for this position, please send in your resume to [email protected]

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

We are seeking a motivated and capable Senior Data Analyst to help drive Data/Business Intelligence initiatives.

The Senior Data Analyst is responsible for extracting meaningful insights from extensive datasets to inform data-driven business decisions. Strong understanding of data analysis, statistical methods, and data visualization is required, and this position involves working with cross-functional teams, contributing to the development of data infrastructure, and ensuring data quality and integrity.

RESPONSIBILITIES:

● Data Extraction and Management: Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.

● Data Analysis and Reporting: Analyze large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.

● Insights and Recommendations: Cleanse and interpret complex data to provide actionable business insights. Translate data findings into operational and strategic improvements, developing recommendations to streamline processes, improve efficiency, and contribute to overall success.

● Collaboration and Communication: Work with cross-functional teams, including business analysts, data engineers, and other stakeholders. Collaborate with management to align business and informational priorities. Communicate analytical findings and insights to both technical and non-technical stakeholders.

● Data Governance: Contribute to advancing transition toward a more data-driven culture. Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards. Assess adherence to data quality standards and data governance initiatives.

● Project Management: Manage projects to ensure results are measurable, actionable, and aligned with stakeholder goals.

● Consultation: Provide professional consultation services.

● Process Improvement: Identify opportunities for process optimization and stay informed on the latest trends and advancements in data analytics. Continuously evaluate and refine existing data processes and methodologies.

REQUIREMENTS:

● Bachelor's degree in any STEM-related disciplines

●Certification(s) in any modern data visualisation platform

●2-5 years of experience working in a data analyst role, preferably in the healthcare industry

●Proven experience wrangling large datasets and in using data visualization tools such as Tableau or Power BI

●Proficiency in programming languages (Python, SQL) is essential

●Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.

●Experience with the ETL process and machine learning techniques would be advantageous

If you are looking for internship opportunity, apply now!

As a Data Analyst / Scientist Intern at ComfortDelGro, you will be embarking on an exciting and fulfilling journey to help ComfortDelGro make smart, data-driven business decisions.

Job Scope

• Manage data on AWS/Azure platform
• Write efficient SQL query to extract and aggregate data
• Perform Data analytics and Data visualization on large data set using Power BI
• Write Python script to extract open source data for analysis
• Build machine learning models to solve business problems

Job Requirements

• Degree in Data Science, Computer Science/Engineering, Applied Mathematics, Operations Research, Statistics or equivalent. Master or PhD is a plus.
• Able to commit at least Min 3 to 5 months (FULL TIME ONLY)
• Experience in writing SQL query to aggregate data.
• Possesses adequate knowledge of analytics and visualization tools like PowerBI / Tableau
• Experience in writing programming languages such as Python, C++, Java.
• Experience in one of the fields: machine learning, deep learning, operations research.
• Good knowledge in statistics and mathematics.

Tentative start date option:

1. Jan 2025 - Dec 2025
2. Jan 2025 - May/ June 2025
3. May/ June 2025 - December 2025
4. others

Location/ Address: 383 Sin Ming Dr, Singapore 575717

Working days: Monday to Friday

Working hours: 8am to 530pm

Internship Allowance: Will be disclosed to shortlisted candidate

Job Purpose

Looking for an experienced Hadoop admin to join the Group Data function and manage the Hadoop based big data platform.

The role will be responsible of day-to-day operations of the big data platform. This includes monitoring, system upgrade, incident troubleshoot and service restoration, security patching, deployment, capacity management, etc.

The Job

Platform Upgrade and Maintenance

· Conduct the development and implementation of upgrades, and maintenance of the data platform

· Conduct timely patches based on vulnerabilities findings

· Monitor the platform and identify any performance gaps

· Optimize the platform infrastructure to meet scalability, performance, and security requirements

Capacity Management

· Monitor the utilization of the data platform and plan for any expansion if required

Issue/Incident Management

· Troubleshoot and fix the issue based on pre-defiled SLA

· Restore the services in case of system/service downtime based on pre-defined SLA

· Provide timely update to the users on the situation

· Escalate to management based on escalation matrix

User Access Management

· Onboard and offboard users to the platform based on the approval sought

· Conduct regular review of user accounts and take necessary actions to ensure users are valid and active

· Provision user access based on the approval sought

Data Security and Privacy

· Implement robust data security measures to safeguard sensitive information within the data platform

· Ensure compliance with data privacy regulations and industry standards

Deployment

· Conduct deployment of data pipelines developed by data engineers

Process

· Ensure operational Efficiency

· Participate in the creation of standards, guidelines, and procedures related to the data platform

· Monitor the performance, efficiency and effectiveness of operational processes and identify any areas of improvements to drive process optimization and efficiency

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics, and equivalent of 5+ years of experience in distributed systems like Big Data Hadoop.

· Proficiency in Hadoop: Proven experience in Hadoop technologies (Spark, HDFS, Hive, Sqoop, Airflow, Docker)

· Managing data infrastructure: Experience in monitoring of data platform infrastructure and incident handling.

· Knowledge of SQL: Experience in MariaDB or any other relational database management system.

· Experience with ETL: Experience in managing and operating enterprise ETL tools

· Programming skills: Experience in one or more programming languages such as Python, Java, or Scala, and be able to develop custom shell scripts and applications for data operation and monitoring

· Data warehousing: good understanding of data warehousing concepts, including data architecture, dimensional modelling, and ETL processes.

· Experience with DevOps: Experience in DevOps tools and environment (BitBucket, Jira, Bamboo)

· Experience in Agile Methodology

· Collaboration: Work closely with data analysts, data engineers, data scientists, and business stakeholders to understand data needs and provide solutions to complex data problems. Should have good communication and collaboration skills.

· Critical thinking: Ability to analyze and understand complex problem. Strong in User Requirements Gathering, Troubleshooting, Maintenance and Support

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills