Working Day: Mon to Fri, 8.30am- 5.50pm

Salary: $2800 - $3000 + allowance

Location: East, and clients site whenever required

Job scope:

• To provide support on maintenance project.
• Handle system administration, network support, implementation, troubleshooting in Windows / Linux / Unix.
• Hands on experience in managing LAN / WAN / Routers / Switches / DNS / VPN and Firewall is preferred.

Requirements:

• At least a Diploma in Engineering (Electrical/Electronic), Computer Science/Information Technology or equivalent.
• Must have at least 1-2 years of Server experience
• Able to work on scheduled standby on rotating weeks

Low Jia Yi R22104302

The Supreme HR Advisory Pte Ltd 14C7279

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

We are seeking an exceptional Data Engineer to join our FD Data team. The ideal candidate will be a seasoned data engineer/lead with extensive experience in designing, developing, and optimising data pipelines and infrastructure.

Essential Requirements:

• Proven track record of excellent coding and software development within high-performing data engineering teams, and successfully shipping data products.
• Strong software development skills in Scala or another common programming language such as Java or Scala, adhering to best practices with a focus on low-level design documentation, readable, and well-documented code that is appropriately tested.
• Solid experience big data technologies such us with SQL and Spark.
• Experience Integrating Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Design and deploy data engineering solutions using containerization and orchestration techniques.
• Good understanding about CI/CD techniques to collaborate with DevOps teams to deploy the data solutions.
• Strong expertise in designing and developing big data ecosystems using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience in ensuring data quality.

Preferred Qualifications (Nice to Have):

• Experience in the financial industry.
• Knowledge of additional data processing libraries and tools.
• Expertise in one of the major real-time data processing frameworks, such as Apache Flink or Kafka Streams.
• Experience in building event-driven and/or streaming data services.
• Experience with deploying and managing Cloud Database Services

Soft Skills:

• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Salary: up to $4500

Working Days & Hours: 3 shifts

Location: Kent Ridge

Job Description:

• Participate in and, when necessary, supervise the reception of laboratory specimens and rejection of those that are unsuitable for analysis.
• Operate the Laboratory Information System to perform functions such as order entry, result entry, result collation & certification and result query.
• Perform all procedures in accordance with laboratory protocols.
• Ensure that “critical values” are reported to appropriate personnel.
• Resolve queries from customers.
• Report adverse incidents to the supervisor.
• Perform, record and interpret results of quality control procedures and take corrective action where indicated.
• Undertake simple preventative maintenance of laboratory instrumentation and perform simple troubleshooting in the event of malfunction.
• Comply with laboratory inventory management procedures.
• Keep current with new instrumentation, techniques and procedures by attending/participating in appropriate workshops, seminars and in-service education classes.
• Conduct of in-service education and continuing education classes.
• Assist with planning of staff rosters as required.
• Perform shift duties as required.
• Coach trainees and new staff in laboratory procedure.
• Carry out the instruction(s) of senior staff with regard to work procedures and duties.
• To conduct internal audit.
• Comply with good laboratory practice as set out by the Laboratory Accreditation Programme of the College of American Pathologists and Singapore regulatory agencies such as the Medical Audit & Accreditation Unit.
• Ensure compliance with all requirement of the Laboratory Safety Manual.

Job Requirements: Min Degree in Biomedical Science/Chemistry/Medical Laboratory Science or similar w min 2 yrs of relevant experience in hospital setting

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 client is a Automotive Manufacturing MNC. Due to their current expansion plan, they are looking for a Luxury Sales Advisor (Front Line) to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Identify customer needs by understanding their background, reason for visiting, and purchasing timeline, building a comprehensive customer profile.
• Provide personalized information to educate and inspire guests, offering a customized experience based on their interests.
• Demonstrate expert knowledge of all products and services for owners/customers.
• Support sales efforts by capturing customer contact details and scheduling test drives for individual who interest/potential to buy.
• Consistently update the CRM system to ensure accurate and up-to-date sales and delivery information for management.
• Facilitate vehicle preparation and delivery appointments, offering customized orientations based on the customer’s individual preferences and comfort levels.
• Any other duties as assigned.

Requirements

• Min 2 years’ relevant working experience
• Good Customer Service
• Good Communication Skills

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 shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Job Description:

• Collaborate with other developers and engineers to design, build, and maintain applications.
• Develop end-to-end specifications for solution components.
• Perform testing and implementation of the solution.
• Troubleshoot software issues and participate in impact analysis of encountered issues.
• Generate relevant documentations, reports etc.
• Contribute to continuous improvement of software development best practices.
• Keeping up-to-date with industry trends and technology developments.

Job Requirements:

• Degree in Computing/ Computer Science/ Computer Engineering/ Info Systems / EEE or equivalent
• Entry level candidates with good learning attitude and relevant experience can be considered.
• Familiar to full-stack development and understand concepts of software engineering.
• Knowledge of Agile Development methodology.
• Knowledge of basic coding languages such as C++, Javascript, HTML5 and Java
• Basic programming experience.
• Knowledge of databases (SQL / NoSQL).
• Comfortable using AngularJS, NodeJS, ReactJS and other common frameworks to develop software for various platform.
• Ability to learn new software and technologies quickly.
• Ability to follow instructions and work in a team environment.
• Good team player with critical thinking, analytical and creative problem-solving skills.
• Detail-oriented.
• Candidates with more professional/complexity of experience can be considered for the senior role

(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 Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4

• Strong support from management to invest in data analytics
• Work together in a sizable data team

About the company

Our client is an established end user company. As part of their plan to invest in technology, they are now hiring a new Data Analyst to join their team.

About the job

Reporting directly to the Head of Data, your will be

• Responsible for developing, implementing, and managing Business Intelligence (BI) solutions .
• Collaborate with various departments to deliver insightful reports and analytics that support business strategies and goals.
• Develop and maintain ETL processes for ingesting data from various sources
• Developing and deploying data engineering solution

Skills and experience required

As a successful applicant, you will have at least 5 years of experience in Business intelligence and Data engineering. Experience with Data warehouse or ETL is required for this role.

Whats on offer

This is an excellent opportunity to join an established company with the opportunity to apply data analytics to create value for the business.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4 (EA: 94C3609/ R1219669)

Job Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.

Grow your Career with SearchAsia as a Specialist Recruiter

A career with SearchAsia is more than just a day job. It's an opportunity to be part of an organization that tackles real business issues, and most importantly, places its staff at the forefront and provides an environment for you to succeed and grow your career.

How your career could grow in SearchAsia

· Empowerment – We believe that everyone has his/her own strengths which can be manifested in various forms. All our staff are given opportunities to take the lead in projects, and are encouraged to think out-of-the-box. From such intricate processes, our staff develop their expertise and in turn share it with the rest of the organization.

· Mentoring DNA – With our intrinsic and proven mentoring program to help new hires swing in onto the job, you have plenty of support while in the spotlight. There are a multitude of skills required in this job, and you will develop them under the guidance of experienced mentors as well as structured training and development plans.

· Meritocracy – We reward our staff based on performance and not on seniority. Talent and hard work are the most rocking attributes. You get rewarded based on the results you bring to the table.

· Regional Exposure – There are multiple career paths at SearchAsia, including the opportunity to expand your horizons across major Asian cities where we operate.

The Role of a Specialist Recruiter

From day one, you will be challenged to handle full suite of recruitment services – from business development and client prospecting, to networking with potential candidates and be responsible in ensuring excellence in recruitment process delivery. Basically, you will be the Subject Matter Expert around business development pitches, candidate sourcing methodologies and recruitment process excellence in your area of specialisation.

Responsibilities

· Conduct telemarketing to generate new business leads in your specialized industry sector

· Exceed client expectations by building robust relationships and a detailed understanding of each client’s organisation and recruitment needs.

· Perform full lifecycle of executive search process comprising of sourcing, networking, qualifying, salary negotiation, interviewing and on-boarding

· Network with Senior Executives to source for mid to high level positions

· Pre-screen candidate applications and resumes for required skills, experience, and knowledge to fit position requirements. Make referrals to hiring manager and ensures efficient turn-around activity.

· Keep abreast of industry trends and business economies

Requirements:

• Minimum Degree in ANY Discipline
• Min. 1 to 3 years of relevant working experience in sales and marketing field
• Applicants with good track record in sports or other co-curricular activities in school will have an added advantage
• You must be resourceful, self-motivated and have a 'never-give-up' attitude
• Being passionate about people is essential. You must enjoy meeting and discovering diverse types of people and also work hard towards fostering a strong professional relationship with your clients and candidates.

About Us

As part of the region’s largest Consultancy Group, SearchAsia is a prominent Executive Search company that partners many of the big players in the market and offers top-notch consultancy services to the management teams. Our proven search process and broad industry expertise helmed by solid leadership have enabled successful placements in many multinational companies and Asian conglomerates in key Asian cities including Singapore, Hong Kong, Beijing, Shanghai, Kuala Lumpur and Jakarta.

At SearchAsia, we strongly believe in fair employment practices and hiring based on merit and company fit. This has won us the accolade of the Fastest Growing 50 companies in Singapore (2016) and the Human Capital Partner for Employment Agencies (HCP EA) (2020) awarded by TAFEP and Ministry of Manpower.

With over 1000 consultants across 10 cities in Asia Pacific, we are a valuable member of the public-listed HRnetGroup of companies on the Singapore Stock Exchange.

You will find highly motivated and amazing people, working together in a spirit of collaboration that is simply contagious. We believe in the effectiveness of team synergy and we place paramount importance in incorporating team work in our daily work. We advocate our teams to maintain work-life harmony and often promote team activities to establish closer bonds.

If you are interested to be part of our growth engine in Asia Pacific region, drop us an email to explore your career with us.

Ms. Jocelyn Ho Wen Mun
[email protected]

SearchAsia Consulting Pte Ltd

EA Licence No: 16S8107

EA Personnel No: R1658156

We pride ourselves to provide quality services as a leading recruitment consultancy in Singapore. We are looking for dynamic, driven and focus individual to join our distinctive team in driving the business development strategy and recruitment processes for our clients. If you think you can take up the challenge as a professional Recruitment Consultant in this ‘people oriented’ field, do not hesitate, come and join us!

Responsibilities:

• Identify and assess potential candidates
• Conduct interview and manage selection procedures
• Design job descriptions and interview questions
• Organize and attend recruitment events
• Lead discussions in quarterly and annual hiring needs by department
• Foster long-term relationships with past applicants and potential candidates
• Involve actively in Human Resource activities with regards to Hiring and Managing of potential candidates

Requirements:

• Degree in any Discipline
• Candidates with strong track record in sports or co-curricular activities will have an added advantage
• Candidate with great team spirit, persistency, good communication and interpersonal skills are welcome to apply

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

• Position: IT Engineer (Server/ Network/ Data Center/ Maintenance) – Up to $6k
• Location: Ubi Techpark
• Working hours: 5 days work week; Monday to Friday: 9am - 6pm
• Salary (commensurate with experience): Basic up to $6000 + AWS + Allowance for mobile phone; Education Subsidy if applicable + Group Medical Plan
• Duration: Permanent
• Industry: Information & Communications Technology (ICT)

Main Responsibilities:

• Perform routine duties at customer data centers such as monitoring and maintaining servers, storage, and network equipment;
• Provide IT support to customers, including responding to server and network issues;
• Coordinate hardware diagnostics and replacement of failing parts with partners;
• Escalate and manage complex issues;
• Upgrade internal system components like CPUs, memory, drives, and cables with partners;
• Document processes and maintain event logs;
• Participate in and monitor changes to data center equipment;
• Schedule and track hardware maintenance;
• Update port maps and rack layouts;
• Create operational procedures;
• Provide technical support;
• Travel to different data centers as requested by customers

Requirements:

• Diploma holder or above in Computer Engineering/Science or related discipline;
• At least 3 years of experience in a similar capacity
• Strong server and storage hardware configuration knowledge will be an advantage;
• Be a quick learner in acquiring new system skills and working with new technologies;
• Capable of using operating systems: Microsoft Windows, Unix, ESX, and Linux are preferable;
• Proficiency in solving computer hardware-related issues for IBM, DELL, and HP;
• Strong sense of customer service and team efficiency;
• Able to provide non-office hours standby and support service;

Email to: [email protected] or call me at: 6398 5689 for more information.

Like us on Facebook or Instagram (For Career tips and Job vacancies): www.facebook.com/search.personnel / https://www.instagram.com/search.personnel

Join us on Linkedin: www.linkedin.com/company/search-personnel-pte-ltd

***We do not charge our candidates any referral fee nor bind them with any contract.***

Jane Chua

Associate Consulting Director (APAC)

License no: 13C6684

EA Personnel: R2197224

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Position Title: Sales Engineer (Data center)

Working Location: Boon Lay

Working Days: Monday - Friday

Working Hours: 8:30am - 5:15pm

Salary range: SGD 4,500 to SGD 6,500 monthly, 13th month, SGD 250 transport allowance

SPECIFIC RESPONSIBILITIES

• Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.
• Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
• Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
• Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
• Establish budgetary forecasts and sales volume targets for the SEA DC market.
• Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
• Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
• Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
• Analyze sales and market data to provide relevant information to senior management for decision making.
• Promote PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

TRAVEL

• This position requires travel up to 50%.

QUALIFICATIONS / REQUIREMENTS

• Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Interested applicants may choose to apply / Contact me your updated resume for our consultant to find you a suitable oppurtunities

Contact Number : +65 90839650

LIM JUN SHENG Reg No: R22104301

The Supreme HR Advisory Pte Ltd EA No: 14c7279

We are seeking an exceptional Senior/Lead Data Engineer to join our FD Data team. The ideal candidate will be a seasoned data engineer/lead with extensive experience in designing, developing, and optimising data pipelines and infrastructure.

Essential Requirements:

• Proven track record of excellent coding and software development within high-performing data engineering teams, and successfully shipping data products.
• Strong software development skills in Scala or another common programming language such as Java or Scala, adhering to best practices with a focus on low-level design documentation, readable, and well-documented code that is appropriately tested.
• Solid experience big data technologies such us with SQL and Spark.
• Experience Integrating Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Design and deploy data engineering solutions using containerization and orchestration techniques.
• Good understanding about CI/CD techniques to collaborate with DevOps teams to deploy the data solutions.
• Strong expertise in designing and developing big data ecosystems using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience in ensuring data quality.

Preferred Qualifications (Nice to Have):

• Experience in the financial industry.
• Knowledge of additional data processing libraries and tools.
• Expertise in one of the major real-time data processing frameworks, such as Apache Flink or Kafka Streams.
• Experience in building event-driven and/or streaming data services.
• Experience with deploying and managing Cloud Database Services

Soft Skills:

• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.

Position Summary / Project Description

To ensure the IT operations planning and execution to meet the service levels agreements and audit compliance requirements.

Role and Responsibilities

• Manages the systems administration function and leads the organisation's system projects and environments.
• Focuses on setting goals and priorities and on mentoring and coordination as well as providing technical leadership.
• Plans and oversees systems upgrades and migrations and ensures systems are up-to-date with the latest patches and are coherent across the organisation.
• Directs the development and maintenance of technical documentation.
• Possesses strong leadership and communication abilities, and is able to set realistic goals and implement appropriate plans to guide the team toward achieving those goals.
• Address multi-faceted issues effectively and in a collaborative manner including across departments.

Govern IT processes and policies

• Establish goals and priorities, design, planning, day-to-day operation, maintenance, and advanced troubleshooting of systems
• Align system administration with overall strategic IT service direction and business needs
• Assist with the development of business case justifications and cost/benefit analyses for spending and initiatives
• Anticipate internal and/or external business challenges and/or regulatory issues
• Develop policies, procedures, and controls to ensure system security and compliance

Develop New Systems

• Partner with stakeholders to recommend innovative and automated approaches for system administration
  • Define systems requirements for new technology roadmap and implementations
• Plan and prepare for system expansion by studying plans and requirements
• Oversee the design, maintenance and implementation of the systems
• Prioritise tasks to ensure projects are implemented in accordance with project plans and budgets

Optimise Systems Performance and Continuous Improvement

• Recommend process, product or service improvements, resource optimisation and cost savings
• Oversee hardware and software upgrades
• Recommend new technologies, methodologies, systems or opportunities for cost savings, security and service quality improvement
• Optimise / Automate processes to achieve higher efficiency and more sustainable operations

Manage Teams

• Oversee team management including budgets, forecasting, work allocations and staffing
• Develop staff through ongoing coaching, mentoring and career discussions
• Define common goals, direction and accountability among staff
• Drive effective performance management practices within department in accordance with company policies and procedures

Requirements / Qualifications

• Degree in Computer Science, Computer Engineering
• Minimum 10-12 year working experience in system operations compliance and management areas.
• Highly-motivated self-starter wh will undertake all activities to the highest professional standards
• Must be cloud certified
• Good in-depth understanding of data warehouse concepts, data profiling, data verification and advanced analytics techniques
• Experience in managing a team in project implementation or support is a mus
• Certification in IT operation management is preferred
• Possess prior hands-on experience with technologies such as Informatica, IDMC, OBIEE, Tableau, .NET, MS-SQL database, Oracle Database, Databricks, ML Ops, Data Robot technologies.
• Good interpersonal skills with the ability to work with different groups of stakeholders
• Exposure to hospital information / clinical systems is an added advantage.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Our client is a reputable large ICT organisation. We are sourcing on behalf of our client for a Data Engineer experience in cloud-based data engineering work. The seniority level depends on your depth of experience.

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Monitoring of databases and ETL systems such as database capacity planning and maintenance.
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices i.e. access control, encryption, and data masking, to safeguard sensitive data.

Requirements:

• A Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Experience in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform.
• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with Databricks.
• Experience with implementing technical processes to enforce data security, data quality, and data governance.

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

We are representing our MNC client in the construction and engineering industry in hiring for

Data Centre - Commissioning Engineer

Job Description

• Develop and deliver the commissioning sequence and plan based on the specific requirements of the project.
• Coordinate with vendors and contractors to create testing scripts for data center equipment and services commissioning and submit these to relevant authorities for approval.
• Create a detailed testing and commissioning schedule, identifying and analyzing critical paths in the commissioning process.
• Work closely with the construction team to ensure all commissioning requirements are met, ensuring that key milestones are achieved.
• Collaborate with equipment vendors to facilitate their testing equipment setup and ensure their site requirements are accommodated.
• Monitor and track the progress of commissioning activities, ensuring adherence to the established schedule. Record and update the commissioning status on a weekly basis.
• Lead weekly commissioning meetings with vendors, suppliers, contractors, and consultants to track progress.
• Produce and issue weekly reports on commissioning activities, including a tracker for commissioning scripts and status updates.
• Document and resolve commissioning issues in collaboration with vendors, contractors, and suppliers.
• Lead Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT) activities with vendors, contractors, and consultants.
• Consolidate, validate, and document daily testing reports.
• Coordinate logistics for testing equipment, such as heaters, data loggers, power quality analyzers (PQA), test PCs, and temporary air conditioning for Heat Load Tests and Integrated Systems Testing (IST).
• Support the commissioning agent in Heat Load Test (HLT) and IST by managing vendors, suppliers, and contractors.
• Close out all testing and commissioning issues, and ensure the proper handover of documents as part of the Operation and Maintenance Manual (OMM).

Job Requirements

• Minimum Diploma in any Engineering discipline.
• Around 3 years of relevant experience in data center testing and commissioning or a similar role.
• Knowledge and skills in data center systems and equipment, such as server, storage, network, power, cooling, fire protection and security.
• Ability to work independently and in a team, with good communication, problem-solving, and analytical skills.
• Able to travel for oversea (SEA region) assignment if required

Join us on Telegram here: https://t.me/Searchstaffingjobs

Interested applicants, kindly send in a copy of your updated resume in WORD document to [email protected] stating your current and expected remuneration together with notice period required to current employer.

EA License No: 12C6254 | EA Personnel Registration No: R1879665