Join a dynamic global team where diverse minds come together to tackle the world’s most complex challenges. As a Senior Manager and Data Architect, you will play a key role in solving intricate business issues and driving transformation across multiple sectors. In this role, you’ll use your expertise to lead cross-functional teams, guide clients through strategic decision-making, and help them innovate with cutting-edge data solutions. If you enjoy blending technology with creativity to achieve impactful results, this opportunity offers the platform to do just that.

Key Responsibilities:

• Lead and inspire teams, fostering a collaborative environment where all voices are heard.
• Navigate complex, unstructured challenges, transforming ambiguity into actionable insights.
• Anticipate client needs and proactively provide innovative solutions to meet those demands.
• Leverage your technical expertise in life insurance systems, including Policy Admin, Claims, and Reinsurance, to drive impactful data platform solutions.
• Contribute to data architecture design, including source-to-target mapping, data profiling, and system integration.
• Manage diverse, cross-border teams and ensure seamless execution across all phases of the data platform lifecycle.

Requirements:

• 10+ years of experience focused on data platforms within life insurance, with a strong grasp of systems like Policy Admin, Customer, Fund, and Document management.
• Expertise in the full lifecycle of delivering data platforms, including ingestion, metadata-driven pipelines, and data quality services.
• Proven ability to work under pressure, multitask, and manage details while keeping the big picture in focus.
• Excellent communication, analytical skills, and a strong work ethic to deliver high-quality outcomes.

This is an exciting chance to be at the forefront of transformation, helping organisations unlock the power of data to drive growth and innovation.

EA: 14S7084 | Registration No:R1981018

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/

Department overview

Search Department focuses on Search, Discovery, and Navigation experience for users of Rakuten. We design, develop, and deploy high performance, fault-tolerant distributed systems used by millions of Rakuten customers every day. We strive to deliver the most innovative solutions that are helpful to people and societies around the world.

Why we hire

We are looking for a backend software engineer to work on next generation AI native experience. In this role, you will be at the forefront of development, and implementation of cutting-edge techniques for LLM solutions including prompt engineering, model fine-tuning, evaluation, and inference capabilities.

Position Details

• Explore and implement the most recent technologies and approaches for AI native user experience and build innovative products on top of LLM platform.
• Work closely with cross-functional teams to implement projects harnessing LLMs for diverse purposes and vertical domains.
• Design and develop a high-performance platform capable of handling and processing large volumes of requests efficiently.

Qualification

• BS degree in Computer Science, Computer Engineering, or other relevant majors with minimum 3-5 years of experience
• Extensive experience in programming, included but not limited to, the following programming languages: Java, Golang and C++
• Excellent problem-analysis and -solving skills, have industry experience in building backend services for large-scale distributed system
• Good team communication and collaboration skills.
• Strong execution skills and have a problem-solving mindset.

Preferred Qualifications

• Maintain a deep passion for contributing to the success of LLM is essential in this innovative and fast-paced team environment.
• Experience in serving Deep Learning models on framework TensorFlow, PyTorch, XGBoost etc.
• Familiar with LLM’s and supporting tools such as LangChain (Optional)

Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.

Job Responsibilities & Duties

Requirements Gathering:

Gather and analyse requirements from business stakeholders.

Data Preparation:
Clean, transform, and analyze data to ensure its suitability for dashboard development.
Perform data discovery and analysis from the bank’s data platform to assess the feasibility of requirements.

Dashboard Design:
Conceptualize dashboard designs through wireframes and prototypes.
Develop visually appealing and intuitive dashboards in QlikView/Qlik Sense to effectively communicate key insights and metrics.
Apply best practices in user interface (UI) and user experience (UX) design.

Technical Skills:
o Knowledge with QlikView and Qlik Sense, including dashboard development, data modelling, and reporting.
o Proficiency in Business Intelligence (BI) tools, visualization tools, and scripting.
o Knowledge of SQL for data manipulation

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Job Description & Requirements

· Ensure that phone call enquiries are promptly answered.

· Answering phone calls in a professional manner and routing the calls, as necessary.

· Taking down phone numbers of the enquiries and allocating them to the sales consultants to follow up.

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Design and draft of Electrical Single Line / Panel Diagram according to customer technical specification
• Maintain, update and correct drawings as needed, and ensure its accuracy and completeness
• Collaborate with project teams to facilitate drawing preparation
• Respond promptly to inquiries and request relating to the drawings

Requirements:

· Diploma/Degree in Electrical/Electronic Engineering from a recognised Polytechnic/University;

· Knowledge in Autocad and Eplan;

· Possession of team spirit, good communication and organising skills;

· A good team player with strong collaboration and stakeholders’ management skills;

· Excellent organizing skills, spoken and written communication skills.

· Our benefits and compensation for permanent position are as follows:

· Salary for experience candidates will be considered based on the years of experience and our internal salary structure

· 1 month AWS

· Variable Bonus ranging up to 6 months depending on individual and company performance

· Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

· Working days: Monday to Friday (1 day work from home per week)

· Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

· 18 days up to 21 days for executive (Engineer and above)

· Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

· Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

· Term Life

· Personal Accident

· Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

· Flex Dollars of $500 per financial year

· Free annual year-end Health Check-Up

· Monthly Birthday Party Celebration

· Monthly Sports Activities

· New Born Gift

· CSR Initiatives

· Department Bonding Activities

· Biennial team building and staff appreciation dinner

· Gym Corner for employees to exercise

·

· Good Pay + Good allowance + Good Bonus

· Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

· Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Job Summary

• Manage the physical oil stocks in the Fragrance Sample compactor.
• Be responsible for the accuracy of oil inventory in the Fragrance Sample compactor.
• Coordinate the movement of oil samples in and out of the Fragrance Sample compactor.
• Prepare monthly reports on oil inventory in the Sample compactor to the FS Library Manager.
• Be part of the Sample Production team to receive sample requests, plan for sample production and execute the plan.
• Be the key contact person for sample requests.
• Be part of the production team to manage production using the automated dosing machines.

Job Scope

• Manage the oil inventory in the fragrance sample compactor, including arranging the oil in compactor and disposing expired oils on a monthly basis. To generate a monthly report on the list of expired oils to the Sample Library Manager. Upon getting the list of oils to be produced for replenishment, the Sample Coordinator will enter the sample requests into PACE/SAP.
• Control the movement of oil samples in and out of the Fragrance Library (e.g. between Sample Production Team, Application Lab, Creation Lab and the Fragrance Library and update the oil inventory daily.
• To receive the sample requests in PACE. If the oil sample is available in the Sample Library, request the oil sample from the compactor into the Sample Production Team for repacking, otherwise, generate the sample requests into SAP, and release the Process Orders into SRMS.
• To liaise with the dispatch service provider and QC sample dispatch riders for delivery of samples and update the inventory.
• For new wins or 1st production, check with the Creation Dept for formula access, reference sample and requests for raw material if they are not available in the inventory system. After the production for the new wins or 1st production, follow up with QC and the dispatch service provider for delivery of samples to customers / requesters.
• Compound fragrance samples using the Fricke automated dosing machine and/or by manual compounding.

Requirements

• Diploma in chemistry/applied science/supply chain/engineering
• Prior experience in the same industry would be a plus!
• Comfortable to carry up to 10kg
• Comfortable to work under strong-smelling environment
• Good interpersonal and technical skills

Interested candidates please send your updated resume in MS Word Format to:

[email protected]

Subject: Sample Coordinator

or call 6736 3280 and ask for Kate

EA Personnel: Kate Leau Wei Xuan (R1552331)

Company Registration No.: 99C4599

Project Management:

• Developing project plans, including the scope, objectives, timelines, and resource requirements.
• Tracking project progress, identifying deviations from the plan, and preparing regular progress update for stakeholders.

Data Management and Reconciliation:

• Manage data cleaning and masking in the legacy systems, and facilitate the reconciliation of Finance records and data between legacy systems and the Cumulus system to ensure data integrity.

System Requirement Gathering:

• Collaborate with stakeholders to gather and document system requirements for the Cumulus Finance system, following the Cumulus global template and workbooks.

Data Pipeline Development:

• Work with the IT team to build a data pipeline between the legacy systems and Cumulus for seamless data transfer and integration.

User Testing:

• Participate in user testing activities to ensure the functionality and usability of the Cumulus system.

Change Management for Cumulus System:

• Support change management activities to ensure a smooth transition and adoption of the Cumulus system.

Assist in preparation of Finance SOPs:

• Set up frameworks, processes, templates and approving authorities for key finance functions, including accounts payable, accounts receivables (fees and charges), asset management, tax reporting and financial reporting (month-end and year-end), that are aligned with the Finance Government Instruction Manuals and Statutory Board Financial Reporting Standards
• Any other requirement related to Cumulus project, or ad-hoc projects / responsibilities as assigned by Deputy Head, Finance Services and Financial Reporting and Lead, Budget.

Job Requirements:

• Tertiary qualification in Accountancy and/or is a Chartered Accountant/Certified Public Accountant
• A minimum of 2 years of experience in managing key finance functions and preparation of full set of accounts, including group accounts, of statutory boards or private sector companies as well as managing the external audit process
• Familiar with prevailing Statutory Board Financial Reporting Standards, Finance Government Instruction Manuals as well as best practices in financial governance and control
• Experience in data migration and system implementation projects.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Proficient in Microsoft Office tools and prior experience in Workday will be an added advantage
• Ability to work effectively in a dynamic and fast-paced environment.

For interested candidates, please send your most recent and updated resume to [email protected]

Subject heading: Healthcare Senior Finance Executive

Andrea Eunice Tan Min Er
(R23112594)
Recruit Express Pte Ltd
EA License No. 99C4599

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

· Perform data analysis to support business initiatives and projects

· Identify areas for process improvement and implement solutions to enhance data accuracy and efficiency

· Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders

· Support software/hardware troubleshooting to identify and resolve issues

· Collaborate and communicate with both internal and external stakeholders to define project requirements, address issue and ensure the successful execution of projects

Requirements:

· Degree in Electrical/ Electronics, Computer Engineering or Computer Science

· Experience with statistical analysis tools such as R, Python etc.

· Knowledge in Java, C, C++, SQL and Oracle/Postgres database

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus up to 6 month depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Minimum 3 years in development and data ingestion pipelines with a degree in Computer Science/Information Technology or related fields
• Design/build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python
• Ensure compliance with IT security standards, policies, and procedures
• Experience with building on data platforms, particularly Snowflake
• Proficient in SQL and Python
• Experience in continuous integration and continuous deployment (CICD)
• Experience in Software Development Life Cycle (SDLC) methodology
• Experience in data warehousing concepts

Good to have

• Experience with Cloud environments
• Experience in ETL tools

Information:

1. Basic Salary: $2,600 - $3,500 depend on experience ;
2. Polytechnic graduate：$2,600 ; ITE guaduate: $2,400 - $2,500
3. Attendance: $40
4. Morning Shift: 7am - 3pm; Afternoon Shift: 3pm - 11pm ($8.50/day); Night Shift: 11pm - 7am ($14/day)
5. Company transport at various location in the west

Responsibilities:

• Operate and monitor machinery on the assembly line to ensure smooth operation
• Conduct routine maintenance tasks, identify and address any issues with machine operation
• Troubleshoot & repair production machines for mechanism and electrical issues to minimise downtime
• Inspections to identify potential malfunctions and perform preventive maintenance
• Work cross-functionally to identify areas for improvement in quality, productivity and cost reduction
• Develop/modifications to equipment and processes to enhance efficiency and performance
• Plan and execute improvement projects from conception to completion
• Evaluate existing processes and practices to identify opportunities for optimisation
• Propose solutions to improve operational efficiency and product quality
• Develop and update programming for automated production equipment to optimise performance
• Provide training to operators on the operation and maintenance of automated equipment as necessary
• Conduct washing to remove contaminants from ball bearings, ensure adherence to quality standards
• Perform test to assess quality and integrity of ball bearings, documenting results accurately
• Visual inspections to identify defects or abnormalities in the manufacturing process
• Compile audit work papers and documentation to ensure completeness and accuracy
• Assist in the development of audit protocols and procedures
• Perform other administrative duties as assigned
• Adhere to all safety protocols and regulations to ensure a safe working environment
• Maintain cleanliness and organisation in work areas to promote efficiency and safety
• Review/recommend changes on procedures for work environment and safety aspects (E.g. IATF 16949, ISO14001, Safety Management Systems, etc.)
• Attend meetings, reviews, discussion and coordinate with Superior to achieve target and yield rate.

Requirements:

• ITE Nitec/Higher Nitec/Polytechnic diploma in Mechanical/Electrical/Mechatronic engineering
• Entry level are welcome to apply
• Comfortable wearing jumpsuit and cleanroom environment
• Able to commit monthly rotation shift work

Interested applicants, send in your updated resume by clicking “Apply Now”

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

Responsibilities:

• To provide accessible, timely, effective, efficient, and professional quality service to resolve problems and to delight.

• Be available to take calls.

• Prompt response to queries via voicemail / email / fax.

• Accurate assessment/ resolution of problems.

• Provide first level support to troubleshoot and solve technical problems.

• Incident tracking and first & second level resolution for all trouble calls, including those related to desktop, LAN, centralized infrastructure, Wide Area Network, and voice services related service requests.

• Coordination for employee user account administration, activation, changes, and terminations.

• Receive and answer all users' IT service request calls.

Requirements:

• Min Nitec in any discipline

• Good command in English to liaise with different entities

• Junior level position is available.

Salary: up to $3200 + allowances

Duration: 1 year contract

Working Days & Hours: 3223 12 hrs rotating am pm shift

Location: Tuas (islandwide pickup)

Job Description:

• Conducts activities of equipment power supply and control in order to assure the proper functioning of the plant. Moves raw material and process solvents received by Production Warehouse personnel
  • Loads production equipment and conducts activities aimed to put instruments, services and plant in the right conditions to perform in the planned condition required by Manufacturing Formulas, operating procedures or Shift Manager dispositions
  • Documents all the activities executed or to be executed signing and dating the official production documentation.
  • Communicates and collaborates Shift Manager / Production Support for all the operations to be executed, in solving any anomalies occurred and suggesting possible solutions
  • Autonomously assures the regularity of the production operations (reactions, distillation, transfers etc. etc.) verifying on the control panels and control instruments (DCS, alarms, etc.) the process parameters
  • Collaborates with the Warehouse to pick up materials (raw material and / or process solvents) from delivery areas, to the shop floor communicating also to the Shift Manager, critical situations (quantities verification, codes, batch number, etc.)
  • Transfers liquids from trucks to tanks storage and vice versa
• Reports any anomalies to instruments or equipment to maintain a high efficiency and safety level in accordance with the Good Manufacturing Practices
  • Maintains a high level of cleaning in the working area dedicating parts of the working hours to housekeeping operations of the department areas and equipment following the indication of the Shift Manager/Production Control
• Contributes to eliminate inefficiencies and wastes
  • During the shift controls that the work progress in line with scheduling. Assures registration of SIC (Short Interval Control) data which contributes to the control program DWOR ( Daily Weekly Operating Report)
  • Analyses with the Shift Manager / Production Support unexpected causes of negative trends
  • Identifies inefficiencies and wastes paying attention to quality in the operative activities and processes/products using tools of Lean Manufacturing and Continuous Improvement (root cause analysis, problem solving, workshops, 5S)

Job Requirements: Min Diploma in Chemical Process Technology/Biotechnology/Chemical Engineering or similar w min internship experience in process tech, preferably in pharmaceutical industry

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Our Background:

Founded by Temasek & UST, Temus is a start-up aspiring to be Singapore's Digital Transformation champion, with a mission to empower Singapore’s Smart Nation across public and private sectors and enhance the lives of citizens.

Our services span from strategic advisory through to digital, data and AI delivery. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are looking to recruit strong and highly motivated people to join us on this audacious mission.

Our Purpose

• Place client value and human experience at the centre of everything we do
• Use AI and data to deliver material impact and drive disruptive transformation across public and private sectors
• Maintain public trust in AI and data protection ensuring fairness, ethics, accountability, and transparency

Your Role

• Lead design & delivery of Data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors
• Build a world-class team with experts in Data engineering
• Produce thought leadership for data engineering and scaling deployments
• Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats
• Mentor junior members to help them build career in Data Engineering
• Invest continuously in building and extending your knowledge and skills

Your Profile

• Minimum 7 years of designing, building and operationalizing large scale enterprise data solutions and applications (both with batch and streaming data)
• Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Databricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool etc.
• Experience with Stream platforms and real-time aggregation platforms like Kafka, Kinesis, Spark, Flink, KSQL etc.
• Experience with multiple data storage solutions for analytics, operational and archival purposes like MongoDB, Cassandra, HBase, Redis, PostgreSQL, MySQL, DB2, Neo4j, S3 etc.
• Experience with data transformation tools/platforms like: dbt, Alteryx, Datameer, dataform, Informatica, Talend etc. and their data quality management features
• Mastered at least one core language: Python, Scala, Java
• Good exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing
• Experience building historical and real-time operational ‘feature layers’ to support AI/ML teams
• Excellent understanding of the state of Data Engineering evolution in the industry through active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.)
• Track record of delivering scalable Data pipeline services running in production.
• Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Strong ability to explain design decisions and provide alternatives supported by analysis like pro/con, past experiences etc.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
• Demonstrated capability to lead, inspire, coach and mentor team members and colleagues.

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, citizenship, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

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. Please indicate #68538 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 Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Entry (Part Time)
• Working Location: Jurong East
• Working Hours: 2-3 days (Tuesday, Thursday 8.30 am – 5.30 pm)
• Salary Package: Basic $1,000
• Duration: 2 months

Key Responsibilities

• Assist in entering Purchase Orders (P/O) for every sales entry.
• Maintain accurate and up-to-date sales records.
• Ensure data integrity and consistency in the sales admin system.
• Support the sales admin team with additional data entry tasks as needed.
• Perform routine checks to ensure all entered data is complete and accurate.

APPLY NOW!!!

• Previous experience in data entry is an advantage.
• Proficient in basic computer applications, such as Microsoft Office.
• Detail-oriented with a high level of accuracy.
• Good organizational and time management skills.
• Ability to work independently and as part of a team.

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. Please indicate #67480 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

Key Responsibilities:

• Supervise and lead a team of data center technicians and vendor staff
• Coordinate daily operations including monitoring of data center systems, facilities and environment
• Identify and respond to system alerts, issues and incidents, escalating to management as needed
• Administer and oversee service desk operations for data center-related tickets/requests
• Liaise with internal teams regarding data center maintenance, upgrades and support needs
• Assist with disaster recovery activities, testing and documentation
• Ensure adherence to operational policies, processes and service level agreements
• Conduct periodic reviews and report on operational gaps, risks or improvement areas
• Maintain accurate documentation of data center facilities, equipment records and procedures
• Follow and enforce safety and compliance protocols within the data center
• Provide training, guidance and oversight to the data center technician team

Requirements:

• Bachelor's or associate’s degree in IT, Computer Science or related technical field
• 2+ years of experience in data center operations, facilities monitoring and management
• 1+ years of experience leading or supervising a technical operations team
• Solid understanding of data center infrastructure
• Working knowledge of monitoring systems, ticketing systems and incident management

Job Responsibilities

• Carry out periodic checks of data center hardware and facility systems according to organizational guidelines.
• Escalate any issue to relevant parties according to organizational guidelines.
• Obtain the existing DC Operation documentation including details on DC facilities, network and server monitoring, storage and backup monitoring, batch operations and batch job scheduling.
• Attend the knowledge transfer to be conducted by the outgoing service provider/s.
• Conduct shadowing and reverse shadowing of the daily DC operation tasks.
• Ensure all the DC Operations documentation is updated.

Requirements:

• Possesses minimum Higher NITEC in IT or related discipline
• Able to commit for 12 hours shift
• Comfortable working in healthcare sector, this role required the incumbent to take MMR and TDAP vaccine.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

• Design and draft of Electrical Single Line / Panel Diagram according to customer technical specification
• Maintain, update and correct drawings as needed, and ensure its accuracy and completeness
• Collaborate with project teams to facilitate drawing preparation
• Respond promptly to inquiries and request relating to the drawings

Requirements:

· Diploma/Degree in Electrical/Electronic Engineering from a recognised Polytechnic/University;

· Knowledge in Autocad and Eplan;

· Possession of team spirit, good communication and organising skills;

· A good team player with strong collaboration and stakeholders’ management skills;

· Excellent organizing skills, spoken and written communication skills.

· Our benefits and compensation for permanent position are as follows:

· Salary for experience candidates will be considered based on the years of experience and our internal salary structure

· 1 month AWS

· Variable Bonus ranging up to 6 months depending on individual and company performance

· Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

· Working days: Monday to Friday (1 day work from home per week)

· Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

· 18 days up to 21 days for executive (Engineer and above)

· Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

· Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

· Term Life

· Personal Accident

· Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

· Flex Dollars of $500 per financial year

· Free annual year-end Health Check-Up

· Monthly Birthday Party Celebration

· Monthly Sports Activities

· New Born Gift

· CSR Initiatives

· Department Bonding Activities

· Biennial team building and staff appreciation dinner

· Gym Corner for employees to exercise

·

· Good Pay + Good allowance + Good Bonus

· Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

· Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

We are seeking a talented and experienced Data Engineer (Quantexa)with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must.

Responsibilities:

·        Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

·        Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

·        Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

·        Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

·        Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

·        Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

·        Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

·        Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

·        Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

·        Ensure data quality and integrity throughout the data processing lifecycle

·        Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

·        Optimize data engineering workflows for containerized deployment and efficient resource utilization

·        Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

·        Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

·        Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

·        Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

·        Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

1. More than 5 years of experience as a Data Engineer
2. · Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
3. · Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
4. · Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
5. · Expertise in the Scala programming language and familiarity with functional programming principles
6. · Prior experience with the Quantexa tool is highly desirable
7. · Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
8. · Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
9. · Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
10. · Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
11. · Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
12. · Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
13. · Background in integrating and utilizing Elasticsearch for data indexing and search applications
14. · Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
15. · Experience with distributed computing, parallel processing, and handling large datasets
16. · Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
17. · Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
18. · Familiarity with version control systems (e.g., Git) and collaborative development environments

Job Description:

• Data entry of loan transactions, batching of Cashier’s Order, loan statement retrieval, open/sort mailbag
• Processing Loan static data maintenance
• Processing Loan monetary transaction
• Administration work assigned including filing and archiving
• You will also need to assist in any adhoc work/projects as assigned by the supervisor/s.

Requirements:

• No experience required

Qualified candidates are invited to submit their applications in to Shaun Quek Yew Meng R1660732

[email protected]

Recruit Express Pte Ltd

EA Licence No: 99C4599

Only shortlisted applicants will be notified

Salary: up to $2800

Working Days & Hours: Mon-Fri Office Hours

Location: Kent Ridge

Job Description:

• Receive laboratory specimens and reject those that are unsuitable for analysis.
• Operate the Laboratory Information System to perform functions such as result query, order entry and result entry.
• Perform waived tests and moderate complexity tests. Perform all procedures in accordance with laboratory protocols.
• Alert appropriate laboratory personnel of critical values.
• Report any adverse incidents to senior member of staff.
• Prepare reagents and materials that require special handling to ensure reliability.
• Receive and resolve queries from customers.
• Undertake preventive maintenance on laboratory instrumentation. Notify appropriate laboratory personnel when laboratory instruments malfunction.
• Keep current with new instrumentation, techniques and procedures by attending/participating in appropriate workshops, seminars and in-service education classes.
• Promptly carry out the instruction(s) of senior staff with regard to work procedures and duties.
• Demonstrate laboratory procedures to trainees and new staff.
• Guide Laboratory Technicians, Clerical Staff and Health Attendants in their work when required.

Job Requirements:

- Min Diploma in Biomedical Science/Biotechnology or any relevant field

For interested applicants, please send your updated resume to: [email protected]

All candidates’ information will be treated with the strictest confidence

Melissa Zhang Zhiqi (Mezzo)

R2197564

Recruit Express Pte Ltd

99C4599

Our Client is one of the Top 10 Fortune 500 MNC in the Oil and Gas industry.

Key Responsibilities

• Work together with the solution and data Architects to design the next generation data platform to support the Analytics in Trading.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Assemble large, complex data sets that meet functional / non functional business requirements, which are scalable and easy to maintain.

• Build and maintain data pipelines required for extracting, cleaning, and transforming data from a wide variety of sources.

• Help establish best practices around data governance, data security- and privacy (GDPR).

• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

• Drives and applies Agile Framework within his/her operating environment.

Requirements

• At least 1 year of experience in a Data Engineer role
• 1-2 years advanced experience in design and coding skills (e.g. Python, SQL, Scala, JavaScript).
• Experience with working concepts as data pipelining / data wrangling. Strong business analysis skills to obtain requirements from users and document them.
• Interpretation of data, highly analytical, troubleshooting, and problem-solving skills. Experience with data architecture and design techniques (local/abstract).
• Technical skills: Source Code Control (Git, Subversion), reporting/visualization tools (Power BI), SQL-based technologies (MSSQL, MySQL, PostgreSQL), restful API developments, data blending technology (Databricks preferred), Microsoft data stack (Microsoft Azure Data Lake, Azure Table/Blob stores etc.)
• Agile Project Delivery techniques (e.g. SCRUM) & experience creating and using a wide range of scrum and agile artefacts and techniques, automated testing, personas, user stories, agile games etc. Awareness of Agile Framework and its tools such as Visual Studio Team Services (VSTS).

If you are keen to know more about this role, please email Mary at [email protected] and send your resume in MS Word format. Note that only shortlisted candidates will be contacted.

By sending us your personal data, you are deemed to consent to RMA Consultants Pte Ltd and its affiliates collecting, using and disclosing your personal data for the purposes set out in our Data Protection Policy at http://bit.ly/3GHgskn and Privacy Policy at http://bit.ly/3W63rp7

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer

job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign

solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation- wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Group’sPDPA and e2i’s PDPA.”

Mary Marquez (EA Regn No: R1326974)

RMA Consultants Pte Ltd (EA Licence No: 93C4403)

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

Are you passionate about data and eager to make a real impact? We're looking for a motivated Data Scientist to join our driven, fun, and fast-paced team at Funding Societies! This is a fantastic opportunity to collaborate with seasoned experts, sharpen your skills, and contribute to projects that shape the future of our business. If you're ready to dive into data, build models, and learn every day, this role is for you!

What you will do:

Model Development and Analysis:

• Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more.
• Support the calibration of model parameters and the optimisation of business logic.
• Ensure models provide meaningful, actionable insights that help drive key business decisions.

Data Exploration and Insights:

• Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes.
• Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders.

Model Infrastructure and Automation:

• Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models.
• Participate in automating workflows for tasks like model training, validation, and monitoring.

What we are looking for:

• 1-3 years of experience in data science or related fields.
• Proven experience as a model developer in machine learning and statistical analysis projects.
• Familiarity with programming languages like Python and SQL.
• Interest and experience in fintech and credit modelling is a bonus.

Others:

• Strong analytical mindset with attention to detail and a problem-solving attitude.
• Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning.
• Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

Role:Data Analyst

JD:

Responsibilities: 3-5 Years of exp as data analyst, you will be responsible for developing and

implementing business strategies that align with the company's goals and objectives. You will

leverage your expertise in Microsoft Azure Analytics Services to design and implement effective

analytics solutions. In this role, you will collaborate with cross-functional teams to develop operating

models and prioritize value analysis. You must have expert proficiency in Microsoft Azure Analytics

Services. Having expert proficiency in Operating Model Development and Value Analysis and

Prioritization will be advantageous.

Develop and implement business strategies that align with the company's goals and objectives.

Design and implement effective analytics solutions using Microsoft Azure Analytics Services.

Collaborate with cross-functional teams to develop operating models.

Prioritize value analysis to ensure optimal resource allocation.

Provide expert guidance and support to project teams throughout the implementation lifecycle

Mandatory to have experience in 1. Data migration planning 2. Business and technical data

requirements documentation (BRDs) Skills- 1 - Microsoft Azure Analytics Services (P4 - Expert) 2 -

Operating Model Development (P4 - Expert) 3 - Value Analysis and Prioritization (P4 - Expert)