Total 3,967 data entry job vacancies in Information Technology category in Singapore

Job Responsibilities:

• Participate in designing solutions that meet functional requirements
• Implement end-to-end specifications for solution components
• Generate relevant documents and reports
• Perform testing and implementation of solutions
• Participate in UX activities such as creating wireframes/storyboards, conducting user research/interviews and developing user stories, storyboards
• Contribute to the SDLC in the areas of coding tools, languages, and software designs

Job Requirements:

• Min diploma/degree in Computer Science or any IT related field
• Familiarity in any of the programming languages: Java, Javascript, Python, C++, C# etc
• Proficient in Web Technologies like HTML, CSS
• Excellent working attitude and a strong team player
• Fresh entry candidates are welcome to apply

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Job Responsibilities:

• Participate in designing solutions that meet functional requirements
• Implement end-to-end specifications for solution components
• Generate relevant documents and reports
• Perform testing and implementation of solutions
• Participate in UX activities such as creating wireframes/storyboards, conducting user research/interviews and developing user stories, storyboards
• Contribute to the SDLC in the areas of coding tools, languages, and software designs

Job Requirements:

• Min diploma/degree in Computer Science or any IT related field
• Familiarity in any of the programming languages: Java, Javascript, Python, C++, C# etc
• Proficient in Web Technologies like HTML, CSS
• Excellent working attitude and a strong team player
• Fresh entry candidates are welcome to apply

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Position

Data Security Expert is a technical expert role within the Data Security Services team and will be responsible for managing, administration and supporting the Data Security and Endpoint Security technologies for the bank.

Person will be the technical point of contact for the Run team and the related activities to data security and will be the last level of escalation for the Security specialists in the team. He/She is also responsible for the technical transition and validation of Security services from other regions to Singapore. He/She will be involved in projects and POC’s that may involve security services. He/She works with continuous improvement principles. He/She is equivalent to the Subject Matter Expert on the technologies within data security.

Data Security Services team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of the company in Singapore.

Team works in Europe time zones and this role will be aligned primarily to Paris working hours. Flexible rotations are followed based on the nature of duties.

The operational support of the team covers the following technical scope:

• Endpoint Security technologies – Anti-virus management, Host Intrusion Prevention System etc.
• Data Leak Prevention systems. - Email Prevent, Web Prevent, Endpoint Protect,
• Encryption Solutions: Disk Encryption, File and Folder encryption,
• Database Audit Monitoring solutions
• Email and Web Phishing Prevention solutions.
• Vulnerability Management

Responsibilities

The Expert has a wide spectrum of responsibilities and actions. Person will be responsible for following (but not limited to) responsibilities in day-to-day work:

As the Expert of the team, he/she:

• act as the last level of escalation for the team members
• own Incident, Problem and change management process for the team
• assigns technical tasks and manages delegation
• animates the team to encourage collaboration and sharing of practices
• participates to recruitment process for the team

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence
• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Qualifications and Profile

Functional

• 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;
• Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;
• Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;
• Excellent in analytical, communication and documentation skills;
• Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;
• Must have strong understanding of ITIL processes and comfortable working in process oriented environment;
• Ability to work independently and as well as a part of team and is able to work under minimal supervision;
• Should have time management skills and able to manage work in fast moving environment;
• Excellent written and oral English language skills;
• Knowledge of French language is preferred.

Technical

• 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

• Good to have 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 is highly preferred
• Symantec Certified Expert: Administration of Data Loss Prevention (any version) is highly preferred.
• Must be experienced to cover the scope as mentioned in the SKILLS MATRIX section of this document.

Technical skills

• Symantec Data Loss Prevention Administration (DLP Policy/Rules creation expertise): Good to have
• Database Access Monitoring: Good to have
• Symantec Endpoint Protection (Anti-Virus): Good to have
• Microsoft Defender Suite: Good to have
• Email Security: Knowledge
• Python, Regular Expression, Powershell: Knowledge

General skills

• Ability to prioritize effectively: Must to have
• Ability to work autonomously: Must to have
• Ability to work successfully in a team: Must to have
• Adaptability to changing environments: Must to have
• Inter-personal skills: Must to have

Management skills

• Ability to deal with issues, time management: Critical
• Manage escalated incidents: Critical
• Capacity to cooperate / work across discipline: Critical
• Capacity to develop others: Desired

Language skills

• English: Critical
• French: Good to have

Work Schedule

• Required to work on Paris and/or New York and/or Asia time zone*, i.e. 2pm to 11pm/4pm to 1am (summer season) or 3pm to 12am/ 5pm to 2am (winter season), or in accordance to the planned time schedule as required. If necessary, you may also be required to start work earlier or to extend working hours.
• May be required to be available for on-call support during non-business hours and/or on weekends. Allowance is claimable for such hours.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

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.

Prasant Sirohi

EA License Number: 91C2918

Registration Number: R22106307

· Perform remote hands services including tasks such as securing cabling, checking port numbers, observing, or reporting indicators on equipment, rudimentary observation of the environment, and server reboots.

· Perform remote Hand support (Media Management, Visual Inspection, Reboot devices, staging room, Physical connect/disconnect of HDD, network cable connectivity test, insertion of fibre SFP, circuit migration, dismantling unused fibre, fibre regrooming etc).

· Assist to oversee the IT equipment hardware inventory on individual racks inside the Data Center.

· To handle input and output media with due care for integrity of data and utility of media for subsequent use, including off-site storage.

· Perform event monitoring for IT Systems and Network infrastructure.

· Perform incident escalation, ensure incidents are responded and attended to. To redirect for 2nd or 3rd level resolution based on critically, impact and customer Service Level Agreement (SLA).

· Manage and mitigate escalations of high impact system failures and assist in tracking the incidents till closure.

· Perform troubleshooting using test gear/tools; Virtual fault locator, Optical fiber identifier, Optical power meter, Optical time domain reflectometer.

Responsibility

- Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)

- Effectively partner with data scientists in enabling faster adoption of AL/ML model based systems

- Independently install, customise and integrate software packages and programs

- Design and develop application frameworks for data integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

Requirement

- 8+ years of experience with application development in Big Data Ecosystem (such as Cloudera, ElasticSearch, Spark, Presto, Hive, Impala, Kibana, Logstash, Hbase, Kafka),

- Expertise in building applications using Java, Scala, Python, Shell scripting

- Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc

- Knowledge of frameworks such as Spring, Struts, Hibernate etc.

- Knowledge of Object Oriented Programming, Multi-threading, Containerization, etc

- Knowledge of related technologies such as HTML, Javascript, CSS, React, Jquery, node.js, docker

- Knowledge of Elastic, Kibana, Logstash, Hive, Sqoop, MongoDB, Oozie, Flume, Kafka

- Expertise in integrating applications with Devops tools

We are partnered with an established oragnisation in search of a Data Center Engineer.

12 Hours Rotating Shift

The Data Center Engineer will focus on the installation, maintenance, and management of data center hardware and infrastructure. This role is responsible for monitoring hardware performance, maintaining an accurate inventory of data center equipment, and coordinating with vendors for procurement, repairs, and warranty services. The technician will ensure that all hardware operations support uptime requirements and efficiency across the data center.

• Hardware Installation & Maintenance: Install, configure, and decommission servers, storage devices, network equipment, and other hardware as required. Conduct regular maintenance, diagnostics, and troubleshooting of hardware systems to ensure optimal performance and reliability. Coordinate and perform hardware upgrades or replacements to maintain up-to-date infrastructure.
• Vendor Coordination & Management:Engage with vendors to source, order, and manage hardware procurement, ensuring timely delivery and installation. Handle vendor communications for equipment maintenance, repairs, and warranty claims. Review and evaluate vendor performance, track service agreements, and escalate issues as needed.
• Data Center Operations Support:Perform regular walk-throughs and visual inspections to ensure hardware and environment meet operational standards. Monitor power and cooling systems, coordinate with facility teams for any required adjustments to environmental conditions. Ensure data center hardware setups align with SLAs and availability targets, reducing downtime risks.
• Documentation & Reporting:Keep thorough records of installations, repairs, configurations, and hardware movements within the data center. Develop and maintain SOPs for hardware management, vendor coordination, and inventory procedures. Generate and present regular reports on inventory levels, vendor issues, and hardware performance metrics.
• Security & Compliance:Ensure compliance with security protocols and data center access policies, managing hardware-related security aspects. Support periodic audits for physical security and inventory management to align with company standards and regulations.

Qualifications:

• Education: Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (preferred but not required).
• CAT 1 Security Clearance
• Experience: 1-3 years of experience in data center hardware management, IT infrastructure, or a similar role.
• Certifications: CompTIA A+, Server+, or other relevant certifications (preferred).

Skills:

• Hardware Expertise: Strong understanding of servers, storage devices, networking hardware, and related data center infrastructure.
• Inventory Management: Experience in tracking and managing inventory levels, procurement processes, and forecasting needs.
• Vendor Relations: Ability to effectively manage vendor relationships and coordinate hardware delivery, maintenance, and warranty services.

Job Description

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 UOB 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

Job Description

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 UOB 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: Temporary Data Assistant

• Location: Alexandra Technopark, Singapore (Fully in-office)
• Duration: 6-month contract
• Working Hours: Monday to Friday, 9:00 AM - 6:00 PM
• Salary: Up to $2,650

Job Summary:

The Temporary Data Assistant will support customer/business name data clean-up efforts, requiring accuracy and proficiency with large data files and Excel.

Key Responsibilities:

• Data Cleaning: Complete data clean-up tasks by assigned deadlines.
• Excel Proficiency: Use Excel to process and tabulate large datasets.
• Attention to Detail: Maintain accuracy and thoroughness in data handling.

How to Apply: Send your resume to:

Job Description

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 UOB 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

Responsibilities:

• Data Collection and Analysis: Collect, analyze, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency
• Research and Learning: Deeply understand business activities, commercial interests, and continuously expand knowledge and skills in data analytics techniques and tools

Requirements:

• At least 3 years of financial/business/data analysis experience
• BS/MBA in Finance, Accounting, Economics, Business Analytics or equivalent
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Excellent verbal and written communication skills with ability to articulate results of analysis in business terms
• Ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

• Work with data like images, videos, audio, and text etc.
• Design, train, optimize, and deploy deep learning models with GPU.
• Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality.
• Communicate effectively between the business team and the engineering team to gather and implement project requirements.
• Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
• Stay current with the latest advancements in deep learning and AI technologies.

Which entity will this job posting be for?

Velox Pay Singapore PTE LTD

What is the job title for this job?

Senior Data Scientist

Occupation for the job (refer to this link)

Data Scientist

Job Function (Max 5)

Data Scientist, AI Engineer, Machine Learning

Position Level

Senior (L3)

Minimum years of experience

3 Years of experience

Employment type

Permanent

Minimum Qualification level

Bachelor Degree

Field of Study

Computer Science

Min Monthly Salary Range (SGD)

Max Monthly Salary Range (SGD) – Max Salary cannot exceed two times of the min salary

Job Description

• Work with data like images, videos, audio, and text etc.
• Design, train, optimize, and deploy deep learning models with GPU.
• Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality.
• Communicate effectively between the business team and the engineering team to gather and implement project requirements.
• Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
• Stay current with the latest advancements in deep learning and AI technologies.

Job Requirements

• 3+ years of experience in deep learning, particularly with (prio 1)computer vision, voice, and text processing.
• Proficient in data preprocessing, model training, evaluation, and optimisation.
• Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments. (NLP, chat GPT)
• Proficient with deep learning frameworks such as PyTorch, and familiar with Python, C++, and inference engines like NCNN.
• Experience with cloud platforms like GCP or AWS, and working knowledge of Android/iOS is a plus.
• Strong communication skills to understand business needs and effectively convey analytical solutions.
• Ability to write clear and concise technical documentation.
• A Master’s or PhD in Computer Science, Data Science, AI, or a related field.

Job Description

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 UOB 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

• Empowered to make impactful decisions
• Engage with complex challenges to enhance business optimization
• Experience with cloud platform like GCP

about the company
My client is a leading Southeast Asian technology company founded in 2010. They are seeking a Senior Data Scientist to drive impactful decision-making at scale and to influence multiple business lines.

about the job

• Collaborate with multiple product teams to understand their unique challenges and objectives in building ranking and recommendation systems.
• Translate business goals and customer needs into actionable technical requirements and machine learning services.
• Design, develop, and maintain data-driven models and systems to support our business objectives.
• Lead and oversee data science projects from start to finish, ensuring alignment with objectives and timely delivery.

skills and experience required
7+ years of experience in data science or a related field. Knowledge of recommendation algorithms and familiar with ranking algorithms and performance metrics.

Hands-on experience with Python and machine learning/statistics libraries like scikit-learn, LightGBM, and XGBoost.

Experience with cloud platforms (GCP preferred) and containerization technologies.

whats on offer
The permanent role for Senior Data Scientist will pay a salary range of $ 150k / year plus perks from the company. This is an opportunity for join a market leader that has grown year on year.

To apply online please use the 'apply' function, alternatively you can contact Olivia Toh at 84046595. (EA: 94C3609 / R22109942)

https://www.linkedin.com/in/Oliviatoh-032330132/.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

The Opportunity

• Opportunity to work in a leading R&D organisation
• Location: one-north
• 1 year renewable contract
• 5 days work week

Job Description

Data Management (80%)

• Create and maintain SAP master data for grants and funds (e.g. fund, cost centre, WBS) for entities timely upon request from stakeholders.
• Check supporting documents provided to ensure information contained is complete and in accordance with the overall data schema.
• Liaise with stakeholders to resolve any discrepancies.
• Perform closing of project codes timely as per SOP, and any re-opening as required to facilitate operations.
• Perform regular checks on newly created master data, flag exceptions for follow-up and resolution.
• Ensure documentations are well organised and maintained

Management Reporting (20%)

• Support the maintenance of data visualisation dashboard that runs on Tableau platform.
• Ensure data integrity and accuracy in system and performing regular checks
• Process and maintain user access , coordinate and conduct regular training, manage queries and feedback
• Prepare monthly management reports to supporting entities
• Other ad-hoc tasks as required

Job Requirements

• Qualifications in Accountancy or Finance with 2 to 3 years of relevant experience is advantageous
• Good command of MS Office application
• Great attention to detail and accuracy for data creation
• Meticulous, organised and possess good communication skills is a must
• Knowledge of SQL and BI reporting is a good ro have

Next Step

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.
• Simply click on 'Apply here' to drop your resume or send your resume to [email protected]
• All shortlisted candidates will be contacted.

Eugene See
Direct Line: 8889 1296
EA License No: 91C2918
Personnel Registration Number: R21102460

Job Description

• Industry/ Organization Type: Supply Chain
• Position Title: Data Entry Specialist
• Working Location: Tampines
• Working Hours: 5 days, Monday – Friday (8 am - 5 pm)
• Salary Package: Basic Salary
• Duration: 3-Months Contract

Key Responsibilities

• Verify and check products.
• Enter relevant information into the SAP system accurately.
• Communicate with suppliers to resolve any unclear information or discrepancies.
• Maintain organized records and ensure data integrity.
• Assist in generating reports and extracting data as needed for different business needs.
• Perform other ad hoc duties as assigned to support the team and business operations.

APPLY NOW!!!

• Experience using the SAP system is preferred.
• Strong attention to detail.
• Good computer literacy and communication skills.

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 #67597 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

Job Duties

• Able to plan and make necessary arrangements for specific jobs given
• To conduct quality checks on work done by workers
• To oversee daily operations at site
• Ensuring that all workers comply with all safety measures required
• Liaise with main contractor and coordinator with regards to all matter pertaining to the project
• Responsible for the upkeep of documentation on project matters
• Submission of daily reports to coordinator and as built drawings upon completion

Job Requirements

• With at least 5 years of relevant site supervision experience especially with RC works, Dwall, canal and road diversions
• Possess required BCSS/Work at Height Assessor / Supervisor certifications
• Lifting Supervisor certificate an advantage
• Registered Earthwork Supervisor certificate an advantage
• Supervise Confined Space Work certificate an advantage
• Have initiative and responsible at work
• Conversant with key plans/technical drawings

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

·       Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

·       Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

·       Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

·       Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

·       Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

·       Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

·       Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

·       Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

·       Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

·       Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

·       Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

·       Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

·       Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

·       Excellent written and verbal communication skills.

·       Strong analytical skills, attention to detail, and problem-solving abilities.

·       Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

·       An inquisitive mindset, coupled with a desire for continuous learning and growth.

Data Framework Engineer

SCOPE OF THE ROLE

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

- Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)

- Effectively partner with data scientists in enabling faster adoption of AL/ML model based systems

- Independently install, customise and integrate software packages and programs

- Carry out POCs involving new data technologies

- Design and develop application frameworks for data integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

Technical skillsets

TEAM Architecture (Big Data)

- 8+ years of experience with application development in Big Data Ecosystem (such as Cloudera, ElasticSearch, Spark, Presto, Hive, Impala, Kibana, Logstash, Hbase, Kafka),

- Expertise in building applications using Java, Scala, Python, Shell scripting

- Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc

- Knowledge of frameworks such as Spring, Struts, Hibernate etc

- Knowledge of Object Oriented Programming, Multi-threading, Containerization, etc

- Knowledge of related technologies such as HTML, Javascript, CSS, React, Jquery, node.js, docker

- Knowledge of Elastic, Kibana, Logstash, Hive, Sqoop, MongoDB, Oozie, Flume, Kafka

- Expertise in integrating applications with Devops tools

- Knowledge of building applications on MPP appliances such as Teradata, Greenplum, Netezza is a plus

At least, 2 to 3 technical certifications in any of the below technologies:

1. Language – SQL, Java, Python, Scala, Javascript, node.js

2. Automation / scripting – CtrlM, Shell Scripting, Groovy

3. Cloudera Hadoop distribution – Hive, Impala, Spark, Kudo, Kafka, Flume

Additional Experience required for all teams to create an added advantage:

1. CI/CD software, Testing Tools - Jenkins, SonarQube

2. Version Control Tool - Aldon+LMe, CA Endeavor

3. Deployment Tool kit -Jenkins

4. Service or Incident Management (IcM) Tools - Remedy

5. Source Code Repository Tool - Bitbucket

6. Scheduling Tool - Control-M

7. Defect Management Tool - JIRA

8. Application Testing tool – QuerySurge

9. Cloud certification

10. Platforms provided by FICO, Experian, SAS for credit and portfolio management

EDUCATION

- Bachelor’s degree/University degree in Computer Science, Engineering, or equivalent experience

The Job:

• Gather and input data into databases
• Verify and review data for errors or redundancies, make corrections and check output
• Work with different stakeholders to deliver process improvement and efficiency
• Self-starter to response/ liaison with business units/Vendors on systems enhancement and projects

The Requirements:

• Min GCE A Level/ Diploma Holder with 2-3 years of relevant working experience in the banking industry
• Proficient in MS Office

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg. No. 199601303W || EA Licence No. 99C4599

Our client

5 days, Permanent, Eunos

MNC for maintaining data center

Job Scope

· To Work with data centre service provider

· To be responsible for (critical facility operation)

· To manage the (preventative maintenance.) on critical systems, responding the emergent failure and tracking

· To be in charge capacity management) of facility systems including (power and cooling), etc.

· .

· projects management for improving the capacity, efficiency and reliability of current facility system.

· Supporting IT manager (IT) n new site team on their project and operations.

Requirement

· Bachelor’s degree in engineering of electrical, mech or related field.

· 6 years facility management experience in large building. OR

· 5 years of critical facility management in data centre or

· 5 years’ experience and knowledge of MEP equipment such as (UPS, generator, Chiller, Pump, cooling tower), etc.

· Bilingual

please email your resume to [email protected]

we regret that only shortlisted candidate will be notified

Key Responsibilities:

• Perform data analysis and validation, delivering insights as needed to support business initiatives.
• Automate scorecard reporting across business units using tools such as Python, R, VBA, and Power Automate.
• Create and maintain Power BI data visualizations for operational metrics, KPI tracking, and financial analysis.
• Design PowerApps to collect and track valuable data to improve productivity, cost management, and anomaly detection.
• Provide IT troubleshooting support to resolve platform malfunctions promptly.
• Participate in OPEX (Operational Excellence) and CIP (Continuous Improvement Program) initiatives to enhance processes.

Qualifications:

• Diploma or bachelor’s degree in a relevant field (e.g., IT, Data Science, Computer Science).
• Minimum of 1 year of experience in an IT-related or data-focused role.
• Proficiency in Python, R, VBA, Power Automate, Power BI, and Tableau.
• Strong critical thinking, problem-solving skills, and a proactive work ethic.

Aaron Chong

Elitez&Associates Pte Ltd

R23116665

20C0426

Responsibilities:

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations
• Automate existing recurring reports and analyses
• Design and develop the data architecture for BI solutions
• Build data pipelines where necessary for the development of visualization solutions

Requirements:

• Excellent data visualization skills, with experience in creating dashboard reports using Power BI, Tableau, or similar tools
• Knowledge with database, data modelling and ETL pipeline development
• Knowledge in SQL, and Python is a plus

HOW TO APPLY:

Interested applicants, please click on “Apply Now”or email [email protected]

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Charmaine Tin Zi Jin

EA Personnel Reg No: R23113892

We are looking for contract role in the Client Data Chapter, as a Data Modeler, who will work closely with our data architects, data analysts, and business stakeholders to understand their data requirements and translate them into logical and physical data models.

As data is deemed as a strategic asset for Bank of Singapore, this candidate should be a thought leader who will understand and solve identified business problems from curated datasets.

If you have a strong interest and the knowledge in using analytical tools to drive quality assurance, are passionate about driving data quality and process improvements, and have a knack for problem-solving, this is the opportunity for you.

Join our team as a Data Modeler and play a key role in designing and implementing data models that support our organization's data-driven initiatives. You will also be responsible for ensuring the accuracy, completeness, and consistency of our data models, as well as maintaining their documentation and metadata. Your expertise in data modelling tools and techniques, as well as your ability to communicate complex data concepts to non-technical stakeholders, will be critical to the success of our data-driven projects.

You will support the Client Data Owners and the Client Data Steward in the following:

MAIN DUTIES:

• Develop and maintain complex data models for business data analysis and reporting purposes.
• Collaborate with stakeholders and cross-functional teams to understand data requirements and design Client Data model for the new Client Lifecycle Management System that align with business needs.
• Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes.
• Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
• Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
• Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
• Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our client data modelling processes.
• Ensure appropriate and confidential handling/sharing of sensitive client data
• Identify red flags and escalate in line with policy and procedures
• Ensure timely follow-up and/or escalation to stakeholders
• Responsible for completing delegated and ad-hoc tasks within the established timeframes.

Requirements

• Bachelor’s or master’s degree in computer/data science technical or related experience.
• Strong understanding of SQL and data modelling concepts
• Proficiency in data modelling tools such as Erwin or PowerDesigner.
• Experience in designing and implementing database structures.
• Ability to create and maintain conceptual, logical, and physical data models.
• Familiarity with data warehousing and ETL processes
• Knowledge of industry best practices for data modelling and database design
• Ability to collaborate with cross-functional teams to gather and analyse data requirements.
• Experience in performance tuning and optimization of database queries.
• Strong analytical and problem-solving skills
• Clear communicator, with the ability to articulate ideas with data.
• Fine eye for detail with the ability to work with structured and unstructured data, including internal and external data.
• Experience with operating in a corporate environment and stakeholder management.
• Prior exposure to wealth management, asset management or portfolio management is a plus.
• Strong results driven personality with an innovative spirit.