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.

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)

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.

We are looking for a Data Control engineer with experience in Data management, Good knowledge in writing queries to extract the data, automate the report generation through reporting tools .

Requirements:

1.Understand the data requirements from various departments

2.Extract data from database by writing queries and share the reports with the stakeholders

3.Automate the frequently used data reports using the Reporting tool and provision the secured access to stake holder on the reports

4.Manage Database backup and restore

5.Ensure data security

6.Capacity planning and Database finetuning from time to time to increase DB performance

Roles:

• To perform daily backup monitoring and take action to have recovery solution in place.
• To Manage the database availability and performance, including incident and problem management.
• To work with Major Incident Management (MIM) team to resolve and co-ordinate high critical issues.
• To carry out periodical production patch and upgrade management.
• To work closely with users and vendors to take timely and appropriate steps to resolve and troubleshoot issues impacting service levels.
• To Identify opportunities for process improvements, automation, and efficiency gains in database operations.
• To Implement best practices and innovative solutions to enhance system reliability and performance.

Preferred Qualifications:

• Diploma/Degree in Computer Science or Engineering equivalent.
• At least 2-4 years of relevant working experience as a Database Administrator or relavant engineering experience within similar capacity operations.
• Must have familiarity with at least 2 database SAP tools,SQL, ...
• Experience in 24x7 support for critical production systems, scheduled maintenance, and release deployment activities.
• Excellent problem solving skills.
• Good Software application experience.

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’ requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.)

Qualifications

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified
• Symantec Certified Expert: Administration of Data Loss Prevention (any version)

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

Senior Manager, Data (Gain Theory)

About Gain Theory
Gain Theory is a global marketing effectiveness consultancy, that uses data and analytics to deliver successful business outcomes for clients. Our vision is to inspire marketing excellence by helping marketers focus on the right data, not ‘big data’, asking and answering the questions that drive business value. We pair consultancy and technology to foster a data-informed culture that helps to drive sustainable business growth.

Gain Theory is part of WPP, a creative transformation company that uses the power of creativity to build better futures for its people, planet, clients, and communities.

What’s the Vision?
Gain Theory’s vision is to accelerate growth for ambitious brands and our mission is to deliver this growth by empowering smarter, faster, data-informed decisions.

The Role: What will I do?

The role of Sr. Manager of Data is a highly visible role within the team and organization. As a Sr. Manager of Data, you will have direct client responsibility, management responsibility for your team, and be a technical lead for your direct reports and others. You will report to the Director of Data for your client squad.

The Sr. Manager of Data is responsible for several areas of the business:

• Accountable for designing, delivering, and maintaining all aspects of the data management process for any assigned clients
• Direct oversight of, management of, and full accountability for work delivered by all junior data resources (some may be in other global offices/time zones) for any assigned clients
• Balancing getting the data perfect or in very good modeling shape versus the demands of the clients around what is required
• Identifying, building, and automating data collection solutions for various data sources including ad servers, social networks, DSPs, search engines, etc.
• Building relationships and owning communications with key data owners and contacts to ensure timely delivery of accurate, clean data
• Project management of all data activities for assigned clients including managing timelines, identifying/mitigating known risks, communicating impact to downstream dependencies, etc.
• Regularly meet with client leads and line manager to coordinate account planning and client project initiatives. This includes providing resource estimates and expected timing to ensure proper staffing
• Support the data lead for all assigned clients providing key information for all internal and/or cross-client initiatives as needed
• Train and support the use of new data techniques, best practices, and tools standardized by the Data Center of Excellence

Qualifications

• Background (6-8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field
• In-depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes
• Familiarity with DBT is highly valued
• In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and reporting
• Media agency experience will be highly valued
• Can lead requirements gathering, project planning, and implementation for both cross-functional internal data initiatives as well as client-side data projects
• Has project management skills including planning tasks and deliverables, managing timelines and risks, managing team resource allocation, and overseeing multiple simultaneous projects
• Ability to manage and motivate Gain Theory team members
• Organized, detail-oriented, QA-focused
• Experience/familiarity with Multi-Touch Attributions solutions and/or Market Mix Modeling will be highly valued
• Experience with key reporting solutions such as Tableau / Power BI will be highly valued
• Excellent written, verbal, and presentation skills

Values and Behaviors I Demonstrate

Joining Gain Theory means joining a group of people who live, breath and behave by our values:

• Be Curious: continuously asking, understanding, learning, and developing.
• Be Positive: approaching everything we do with a positive mindset and making positive impact on each other.
• Act with Consideration: seeing things from someone else’s perspective; respecting and embracing diverse thinking.
• Make it Better: continuous improvement and stretching our abilities, being honest with ourselves and each other.

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information , please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter .

Responsibilities

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
  HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
  HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Zenith Infotech is a Tech Recruitment Company in Singapore for the past 27 years. We are looking for a suitable candidate for the above role

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements:
.DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS /Kubernetes/Docker/OpenStack/Hadoop/Spark/Flink,etc.) would be advantageous
• Good data structure and system design skills highly preferred
• Good knowledge of information security highly preferred

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

Your future position

Kpler provides the most comprehensive tracking of commodity flows in dry bulk, and we are rapidly expanding it. Our portfolio covers critical commodities that are integral to global energy and food security, such as thermal coal and grains, those essential for industrialization, including iron ore, metallurgical coal, and aluminium as well as the energy transition (copper and nickel).

As part of our market data operations team, you'll play a vital role in driving the advancement of our offerings. Your contributions will be instrumental in ensuring our clients receive accurate and reliable data, empowering them to navigate intricate market dynamics and capitalise on emerging opportunities with confidence.

Your mission is to:

•Own Quality: Take charge of specific regions and product groups and ensure the highest standard of data quality, by reviewing internal constraints and ingest data from external sources.

•Continuous improvement: Identify technology and process improvements to efficiently and effectively process data and improve data accuracy of our seaborne flows.

• Monitor market news and developments, to first extract meaningful patterns and detect new trends and then support our product managers by providing evidence to improve business rules and algorithms.

• Draft fast-response analysis to ad-hoc requests from clients (emails, chats, video calls and in person meetings) and assist the sales and customer success teams in meeting clients’ data needs and optimise client engagement by adding further improvements to our internal system.

It could be a good fit if..

• You have 2 - 5 years of experience working with large, disparate and/or unstructured data sets (advanced Excel and SQL skills and Python knowledge would be a plus).

• You have proven experience integrating data and ease with working with databases.

•You have experience working with some of the following tools: JIRA, Postman, Tableau, Appsmith, Rundeck, Slack.

• You show willingness to learn, are a team player, quick learner, and able to work within short deadlines across multiple tasks

• You have the ability to work and communicate in an international cross-cultural environment, with a strong focus on providing solutions

• You are comfortable working with ambiguity and uncovering answers to complex product development questions

• Prior experience in shipping and trading, or knowledge of dry bulk commodities is a Plus! Strong interest is a prerequisite.

Job Description

Key Responsibilities:

Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources

Performs ad-hoc statistical and data-mining analysis , using statistical tools like R, SAS and MATlab; input and design of data acquisition systems, data structure and database design.

Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis, create visualization and dashboards using Tableau

Works in project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.

Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, understands the business data gathering processes of the business. Find opportunities for building models using machine learning techniques to solve business problems

In the framework of our Smart Factory initiative, we are looking for a data scientist that will help us better utilize the information hidden in vast amounts of data and help us make faster and smarter decisions to deliver even better value to our business Manufacturing operations. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our systems. The role will be about understanding the business constraints, applying those to the raw data coming from our SAP and other systems, creating alerts and predictive analysis, and finally creating the right visualization and dashboards for the various user communities.

Functional Knowledge

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership

• Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills

• Explains difficult or sensitive information; works to build consensus

Skills and Qualifications

• Good communication skills
• Minimum 3 years’ experience in similar roles
• Proficiency in using query languages such as SQL
• Good practical experience with data lake like Hadoop
• Experience with data visualization tools, such as Tableau, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good knowledge in deploying AI and/or ML models, and understanding of machine learning techniques and algorithm
• Data-oriented personality

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

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.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre 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
• Work independently with minimum of supervision
• 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
• Has a good safety mindset and displays good WSH behaviour

We are seeking a dynamic Data Engineer (Python) to join our growing global team, Recommendations domain to work on exciting projects like implementation of our own machine learning framework, integrating a feature store for supporting real-time data science requirements and the creation of complex data ingestion pipelines to support this!

Join us in creating an engaging and personalized shopping experience for our users. Every feature and improvement you develop will enhance customer choice and app performance, making it easier for users to find and enjoy the products they love. Your work will have a lasting impact on customer satisfaction and loyalty across diverse markets.

Responsibilities

• Ingesting first and third-party data sources into our databases.
• Curating and maintaining high-quality data assets so our data scientists can make informed decisions and create better products.
• Collaborating with cross-functional teams to deliver high-quality data assets.
• Deploying and maintaining ML models on our deployment framework.
• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.

Job Summary:

• Industry: Healthcare
• Location: Novena
• Work Schedule: 8:30am to 6pm (Mon to Thu) and 8:30am to 5:30pm (Fri)

Job Responsibilities:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement the company’s Data Strategy for decision making purposes
• Develop, review and update data-related policies to ensure alignment with the national data policies
• Oversee the management and maintenance of the company platform for data request to facilitate data requests by staff.
• Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other institutions and external parties for data request as well as to contribute to the group analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal
• Collaborate with the relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms
• Oversee the secretariat support for departmental and hospital working committees to support digital transformation agenda and build communities of practice to share knowledge and best practices
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

Job Requirements:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

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 Data Scientist/Quantitative Research position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai, Singapore, and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Conduct rigorous, open-ended research to address complex business questions using diverse datasets, deriving actionable insights that provide a competitive edge for the company

· Develop and maintain high-quality datasets, integrating internal and external data sources to support advanced analytics and machine learning initiatives.

· Build and deploy AI/ML models to address a range of business needs, from operational automation to strategic decision-making, ensuring models are impactful and aligned with organizational goals.

· Analyze and prioritize the company's key challenges, applying the 80/20 principle to focus efforts on high-impact problems.

· Foster a culture of learning and innovation by documenting processes, results, and data products to ensure transparency, reusability, and organizational knowledge sharing.

Requirements:

· Strong analytical mindset with a proven ability to extract deep, non-obvious insights through persistent inquiry and statistically rigorous methods.

· Resourceful problem-solving skills with the ability to source and integrate diverse data types, even when datasets are incomplete or unavailable.

· Interest or experience in maritime logistics, demand planning, pricing strategies, or similar domains.

· A degree in statistics, mathematics, computer science, economics or similar fields from a leading university

· Professional fluency in English or Mandarin to facilitate effective communication across diverse teams.

Desirable Qualities:

· Academic research experience, particularly in areas relevant to logistics, operations research, or econometrics.

• Salary Range: $2600 - $2800 + OT + AWS

• Performance Bonus and Attendance Bonus provided

• Working days & hours: 9:00AM – 6:00PM (Monday – Friday)

• Working Location at Ang Mo Kio

• Excellent Welfare & Benefits

• Well Established Network Provider Company

• Aircon Environment

Job Scope

• Responsible for dealing with problems in the delivery process, proactively reporting and timely obtaining solutions in case of problems that cannot be solved independently to ensure the timely flow of orders.
• Responsible for completing all kinds of orders in and out of the warehouse and delivery work on time.
• Responsible for following up the progress of maintenance orders, sorting out and filing and handing over documents, and organizing inventory counting.
• Responsible for the daily work system optimization requirements, solve abnormal problems, optimize work efficiency.

Requirement

• GCE O Level and above
• Training will be provided for candidate without experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

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.

JOB SUMMARY

We are looking for a talented and experienced Lead Data Engineer to join our innovative team. The Lead Data Engineer will play a critical role in leading the design, development, and maintenance of our data infrastructure, pipelines, and analytical tools. The ideal candidate will have a strong technical background in data engineering, expertise in analytical tools, and proven leadership skills to mentor and guide a team of data engineers.

JOB DUTIES

• Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and data infrastructure.
• Mentor, coach, and guide a team of data engineers, providing technical leadership and support.
• Collaborate with data scientists, product managers, and business stakeholders to understand data requirements, facilitate data-driven decision-making, and deliver actionable insights.
• Optimize database schemas, tables, and queries to support data storage, retrieval, and analysis.
• Integrate and optimize analytical tools such as Tableau, Power BI, or Looker to enable advanced data analysis, visualization, and reporting capabilities.
• Develop and enforce data engineering best practices, standards, and guidelines to ensure the quality, performance, and reliability of our data solutions.
• Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity.
• Optimize data pipelines, queries, and infrastructure for performance, scalability, and cost-efficiency.
• Monitor and troubleshoot data pipelines and infrastructure issues, and provide timely resolutions.
• Stay up-to-date with the latest data engineering technologies, analytical tools, and best practices, and drive their adoption within the team.
• Ensure data security, compliance with data governance and privacy regulations, and adherence to analytical tool licensing agreements.
• Work closely with cross-functional teams to identify data needs and requirements, and deliver data solutions that meet business objectives.
• Document data pipelines, processes, and best practices, and contribute to the development of data engineering documentation and standards.
• Stay up-to-date with the latest data engineering technologies, tools, and best practices, and recommend their adoption as appropriate.

JOB REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Systems, or equivalent work experience.
• 8+ years of experience in data engineering, with at least 3 years in a lead or senior engineering role.
• Proven leadership skills with experience in mentoring, coaching, and guiding a team of data engineers.
• Strong technical background in designing and implementing data pipelines, databases, and analytical tools.
• Proficiency in programming languages commonly used in data engineering such as Python, Java.
• Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and Hive.
• Hands-on experience with analytical tools such as Tableau, Power BI, Looker, or similar platforms.
• Solid understanding of relational and NoSQL databases, and experience with database design, optimization, and SQL querying.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with real-time data processing and streaming technologies (e.g., Apache Flink, Kafka Streams).
• Excellent analytical and reasoning skills with an ability to anticipate outcomes of a solution.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Strong sense of responsibility, initiative, and commitment.
• Self-motivated, proactive, and able to work independently with minimal supervision.
• Knowledge of data governance, data security, and compliance standards and best practices.
• Maintain confidentiality of information processed or prepared.
• Ability to lead, convince and inspire team members in a fast-paced environment.
• Willingness to travel to meet and work with offshore team members.
• Fluency in written and spoken English and Mandarin is highly desirable to liaise with Chinese speaking clients and counterparts.

Job Summary:

We are looking for a highly skilled and experienced Senior Data Professional with a comprehensive background in data engineering, data science, and analytics. The ideal candidate will be adept at building and optimizing data pipelines, analyzing large datasets, and applying advanced analytics to drive business insights. With strong expertise in data management, modeling, and visualization, this role supports data-driven decision-making across diverse domains, such as healthcare, finance, and business intelligence.

Key Responsibilities:

• Design, implement, and maintain scalable data pipelines and workflows to process large volumes of structured and unstructured data.
• Analyze and interpret complex datasets to extract meaningful insights that support strategic business initiatives.
• Develop and optimize data models, dashboards, and visualizations for effective decision-making.
• Build machine learning models and predictive analytics solutions to address business challenges.
• Collaborate with stakeholders to gather requirements and translate them into data solutions.
• Ensure data quality, security, and compliance with organizational and industry standards.
• Manage data migration, integration, and transformation processes across platforms.
• Support production environments by troubleshooting issues and optimizing system performance.
• Stay updated with emerging trends and technologies in data engineering, analytics, and machine learning.

Qualifications:

• Proven experience in data engineering, data science, and analytics.
• Strong understanding of data processing, storage, and retrieval techniques.
• Expertise in statistical analysis, machine learning, and data visualization methods.
• Proficiency in programming and scripting languages for data analysis and engineering tasks.
• Familiarity with data governance, security, and compliance frameworks.
• Excellent analytical thinking, problem-solving, and communication skills.

Preferred Skills:

• Experience with big data ecosystems and cloud-based data platforms.
• Knowledge of data testing frameworks and job scheduling tools.
• Strong domain expertise in industries like healthcare, finance, or marketing.
• Leadership and collaboration skills for cross-functional teamwork.

Education and Experience:

• Bachelor’s degree in Computer Science, Data Science, or a related field. Master’s degree is a plus.
• 7+ years of professional experience across data engineering, data science, and analytics roles.

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

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.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre 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
• Work independently with minimum of supervision
• 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
• Has a good safety mindset and displays good WSH behaviour