- 5 Days Work Week, 9AM-630PM

- Large MNC with lots of Career Progression

- Attractive AWS & Variable upon Conversion

- Good Working Environment

- Blue-Chip Bank

Job Scope

- Defining data requirements and testing for source of various variance and risk system project delivery & implementation

- Interpretation of business requirements using balance sheet for project implentation

- Working with departments to automate and streamline data processing flow

- Conduct risk reporting system maintenance and enhancement base on requirements of users

- Performing system integration testing and assisting in UAT with users

Requirements

- Min Degree with Business/Finance/Computer Science or any relevant experience welcome

- Good to have SAS/SWL

- Good to have FRM/PRM

Interest applicants may send the resume over to [email protected]

EA License No: 04C3537

EA Personnel No: R23117727

EA Personnel Name: Estele Chai

Job Summary

You will be working with our client in the financial industry. You will play an important role in transforming structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs.

Responsibilities

• Analyse the data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues.

Requirements

• Bachelor’s degree in IT, Computer Science, or a related field.
• At least 2 year's experience in data engineering
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

If you are interested in this role and would like to discuss the opportunity further please click apply now or email Chew Kai-Xinn at [email protected] for more information.

Only shortlisted candidates will be responded to, therefore if you do not receive a reply within 14 days please accept this as notification that you have not been shortlisted.

Morgan McKinley Talent Solutions

Morgan McKinley Pte Ltd EA Licence No: 11C5502

EAP Registration No: R2196712

EAP Name: Chew Kai-Xinn

Duration: 1 Year Contract (Tentative from 02 Jan 2025 - 02 Jan 2026 **Project may start early in Nov 2024)

Location: Fusionpolis

Working hours: Mon - Fri (8am - 6pm)

Responsibilities:

The Data Privacy and Protection Capability Center (DPPCC) was set up to raise the government’s capabilities in data privacy and drive adoption of Privacy-Enhancing Technologies (PETs). As a Data Scientist in DPPCC, you will be breaking new ground in the emerging field of privacy engineering through working on impactful and scalable technologies, that help unlock the potential of data for public good.

PETs are not new, but they have been challenging to implement in real use cases, whether within or outside of government. The team aims to bridge the gap between research to adoption through experimentation and piloting with agencies to assess the feasibility and utility of each technology, and prepare them for wider adoption in government, whether it be through building products, evaluating current solutions, developing clear guidelines around usage or education.

The team’s portfolio is currently working on evolving technologies includes such as LLM-powered approaches to PII etection and redaction Free-Text Anonymisation, Synthetic Data Generation, Homomorphic Encryption and Differential Privacy, and we plan to open new projects in other technologies (e.g., Federated Learning, Confidential Computing, Data Clean Rooms).

We are seeking a Data Scientist to:

(a) gather information on existing solutions for a PET

(b) run experiments to benchmark and evaluate potential optimal solutions

(c) design implementable workflows/ solutions that agencies can use

(d) and synthesize research on advancements, case studies, and benchmarks to develop materials that guide agency adoption and meet their needs. synthesize research on international case studies/ benchmarks and/or developing materials to guide agency adoption. and

(e) develop and deploy cloud-based implementations of optimal solutions.

Requirements:

• Bachelor’s degree or diploma in Computer Science, Data Science or a relevant field of study. Open to entry level candidates with relevant internship/projects experience.
• Has sufficient foundation in AI/ML model development to be able to run experiments according to user needs
• Experience with quantitative analysis, including machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficiency in at least one programming languages, such as Python or R
• Experience with the cloud (e.g. AWS, GCP, Azure)
• We value candidates with T-shaped competencies. Adjacent expertise in related areas like software development (e.g., cloud infrastructure, frontend technologies, backend with REST APIs) is a big plus.
• Has an inclination to read and synthesize research work, even in a new domain.
• Curiosity, willingness to learn and explore new domains, especially in data privacy and protection. While experience with privacy-enhancing technologies is a plus, we are happy for you to learn on the job.
• Inclination to work in a collaborative environment
• Machine learning frameworks and tools (scikit-learn, TensorFlow, PyTorch as examples)
• Proficiency in at least one programming language (e.g., Python, R)
• Experience with cloud infrastructure (e.g., AWS, GCP, Azure)
• Optional but highly valued: Frontend technologies, backend with REST APIs

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9429

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

• Extract transaction and valuation reports from internal systems.
• Conduct control checks on extracted reports.
• Submit the reconciled reports to Trade Repositories.
• Conduct checks on the reports that have been submitted to ensure accuracy.
• Monitor and correct any exceptions that arise from automated report submissions.
• Generate and submit end-of-day reports after performing final control checks.

Job Requirements:

• Competence with MS Excel

Interested applicants please send your resume in MS Word format and attention it to Rachel Yeo (R22104385).

Shortlisted candidates will be notified

Data provided is for recruitment purposes only

www.ambition.com.sg

EA Registration Number: R22104385

Business Registration Number: 200611680D. Licence Number: 10C5117

Responsibilities

• Relocate and replace parts for servers like mainboards, CPU and others
• Deliver IT parts to clients if needed
• Provide level 1 support for hardware and software installation, troubleshooting, and maintenance for internal teams.
• Performing & maintaining IT inventory list

Requirements

• Passion and high sense of responsibility for work.
• Possess Class 3 license
• Physcially fit (sometimes would need to relocate and replace server)
• Training will be provided

If you are interested, kindly apply through mycareersfuture.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Salary: up to $3200

Duration: 2 years direct contract

Working Days & Hours: Mon-Fri office hours, alt Sat half day

Location: Kent Ridge

Job Description:

• Preparation of cytological specimens, including gynaecological and non-gynaecological samples for the diagnosis of the diseases.
• Job Responsibilities
• You will be responsible for the following:
• • Receive and accession both non-gynae and gynae specimens.
• • Processing gynae specimens (both liquid-based Cytology and conventional smears) and subsequently mounting and labeling the prepared slides.
• • Preparation of non-gynae specimens, including processing, staining, mounting and labeling of prepared samples.
• • Learn to screen gynaecological and non-gynaecological specimens under the supervision of the senior cytotech.
• • Comply with the senior staff with regards to work procedures and duties.
• • Willing to undergo training and development as and when necessary.
• • Perform all procedures in accordance with the laboratory protocols and SOPs.
• • Learn FNA techniques and with experience be able to make an on-site diagnosis.
• • Comply with the safe disposal of the Gynae and Non-Gynae samples
• • Assist in recording and filing of QA sheets.
• • Perform any other related duties assigned by the supervisor.

Job Requirements: Min Diploma in Biomedical Science/Medical Laboratory Science or similar

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]

Join the Singapore Civil Defence Force (SCDF) - The Life-Saving Force

We are a team of elite emergency response professionals from the Fire and Rescue Service (FRS) and the Emergency Medical Service (EMS), that are dedicated to saving lives and protecting property. Join us to be part of a family that strives to safeguard and make a difference in the lives of our citizens, in both peacetime and emergency.

Lifesaving. It's Life Changing!

What the Role Is

Be the source of courage and compassion. As a Fire and Rescue Specialist (FRS) with the SCDF, you will be trained to be a motivated leader skilled in fire prevention, fire response, fire investigation, emergency rescue and equipped with Emergency Medical Technician (EMT) skills. Opportunities for further specialisation (e.g. Disaster Assistance Response Team, Hazardous Material Specialist, Marine Specialist) and skills upgrade across a myriad of career pathways will also be available after foundational postings.

As you progress in your career, you can expect to take up higher appointments such as Fire Station Deputy ROTA Commander, Fire & Rescue Instructor, etc. Good performing FRS can also look forward to accelerated advancement opportunities, where they can be directly promoted to the rank of lieutenant and beyond.

Upon joining SCDF, you can look forward to securing stable full-time employment with an enticing remuneration package. Candidates can stand to earn between $2,450 to $3,550 , inclusive of monthly frontline allowances.

What We Are Looking For

• Minimum educational qualifications: GCE A-Level, Higher NITEC, Diploma from Polytechnic, IB, NUS High School, NAFA, LASALLE, ITE (excluding Culinary Arts)
• Full colour vision
• Male applicants must be PES B and above.
• Minimum pass standard for IPPT (conducted annually)
• For Pre-enlistees, there will be a 5-year Minimum Term of Engagement (MTE) bond in lieu of the National Service’s obligation.

Sign On Bonus

As a successful applicant, you will receive a $30,000 sign-on bonus (subject to eligibility) upon emplacement.

As valued members of SCDF, employees stand to benefit from a range of perks and privileges, including:

• Annual increments
• Performance bonuses
• 14 to 18 days’ vacation leave (inclusive of other leave types)
• Medical and Dental Subsidies
• Employee welfare benefits
• Yearly $700 learning and development subsidies to better support MHA’s officers’ professional and personal growth, health and well-being.
• Strategic Payment Scheme e.g. cash payouts of three months (Lieutenant and below) quantum upon reaching their 3, 6, 9, 12, 15, 20, and 25 years in service.
• Invest Retirement Package - A contribution equivalent to 7.75% of your gross salary will be credited monthly into your retirement account
• Group insurance
• Obtain a Fire Safety Manager Certification
• Obtain an Emergency Medical Technician Certification
• Obtain Class 3, 4 and/or 5 Driving Licenses

For more information, please visit the following links

SCDF Corporate Website (Career Pathway and Renumeration) - https://www.scdf.gov.sg

SCDF Career Microsite (Interactive Experience on Career Journey) - scdfcareers.sg

Information:

1. Salary range: $2,600 - $3,500
2. Allowance: $50 Mobile
3. Working Hours: Mon - Fri, 8am - 5pm. Sat, 8am - 12pm

Responsibilities:

• Servicing, installation, testing & troubleshoot of electrical and mechanical parts at clients' premises/ workshop.
• Access control, able to work under minimal supervision.
• Experience in Security System/Gantry/Door is a plus.

Requirement:

• ITE/Certificate in Electrical / Electronic / Mechanical Engineering.
• Possess a Class 3 license.
• Have a CSOC is a plus.
• Entry level candidates are welcome to apply.

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

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

Join us today if you like to have such a working environment - Unlimited growth potential, dynamic work environment and Team collaboration!

Salary: Basic + Commissions + Team Sharing Incentive
Location: Central

Job Scope:

1. Talent Scouting: Dive headfirst into the talent pool! Utilize various platforms and strategies to identify potential candidates who possess the skills and qualities our clients are seeking.
2. Candidate Engagement: Be the bridge between candidates and opportunities. Engage with potential candidates through phone calls, emails, and networking events, building strong relationships and guiding them through the recruitment process with enthusiasm and professionalism.
3. Client Collaboration: Partner with our esteemed clients to understand their staffing requirements and company culture. Collaborate closely to develop tailored recruitment strategies that meet their unique needs and drive business success.
4. Interview Coordination: Coordinate and schedule interviews between candidates and clients, ensuring a seamless and positive experience for all parties involved.
5. Market Research: Stay ahead of the curve! Conduct research on industry trends, competitor activities, and emerging job market demands to provide valuable insights and strategic recommendations to both clients and candidates.
6. Negotiation and Offer Management: Seal the deal! Facilitate negotiations between clients and candidates, ensuring mutually beneficial agreements are reached. Manage the offer process from start to finish, providing support and guidance every step of the way.
7. Continuous Learning and Development: Stay abreast of best practices in recruitment, sales, and industry trends through ongoing training and professional development opportunities.

Job Requirements:
- Min Degree in any field
- No experience required as full training will be provided

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

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

Why Join Us

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

About the team

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role

As Data Engineer, you will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Responsibility

1. Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data;

2. Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry;

3. Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches;

Qualifications

Minimum Qualifications:

1. Bachelor's or Master's degree in Computer Science, Engineering, or related field;

2. Experience in data engineering, with demonstrated expertise in building scalable data pipelines and infrastructure;

3. Proficiency in programming languages such as Python, SQL, and Java;

4. Experience with big data technologies such as Apache Spark, Hadoop, and Kafka.

Preferred Qualifications:

1. Strong understanding of database systems, data warehousing, and distributed computing concepts;

2. Excellent communication, and interpersonal skills.

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

Main Responsibilities

• Handle public phone enquires on medical reports requests
• Process medical report requests and follow up on medical report requests status
• Process duplication of medical records for patients
• Perform records management such as engage porter to deliver documents to patient care areas, archiving of document in e-MRO storage and tracing
• Sorting and scanning of documents into the electronic medical record system
• Perform indexing and Quality Control check (100%) on the scanned images
• Participate in continuous quality improvement initiatives and projects in the department.

Requirements

• At least a GCE ‘N’ or ‘O’ levels, Professionals Certificate/NITEC.
• Experience in healthcare preferred
• Proficient in Microsoft Office
• IT literacy and numeracy including conversational, writing making electronic entries e.g. Record information on forms, charts and checklists
• Able to adapt quickly to changes and work in a fast-paced environment

If you are interested in any of the positions, do kindly drop your most updated resume to [email protected]

Thank You.

Victoria Yam Wen Ting
R21103142
Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

• The Mechanical Engineer will oversee the on-site mechanical systems installation, ensuring that all works are carried out efficiently, meet quality standards, and adhere to project timelines. You will coordinate with the main contractor, consultants, and other subcontractors to ensure smooth project execution.

Key Responsibilities:

• Manage and coordinate the installation of mechanical systems, including HVAC, piping, and fire protection systems, in data centers and critical facilities.
• Ensure all mechanical works are executed according to project specifications, safety standards, and quality requirements.
• Liaise with project managers, consultants, and subcontractors to ensure smooth communication and progress on site.
• Monitor and track work schedules, ensuring timely completion of tasks.
• Provide technical support and resolve on-site issues as they arise.
• Conduct inspections to ensure compliance with safety and regulatory standards.

Qualifications:

• Bachelor’s Degree or Diploma in Mechanical Engineering or a related field.
• Min. 3 years of experience in mechanical engineering, particularly in data centers or critical facilities projects.
• Strong understanding of mechanical systems installation, including HVAC and piping.
• Ability to work closely with site teams, subcontractors, and consultants.
• Excellent problem-solving skills and attention to detail.
• Familiarity with safety regulations and site management.

To Apply, kindly click on the "APPLY NOW" button and job details. We regret that only shortlisted candidates will be notified.

Daniel Lim | Registration Number: R24124455 | AlwaysHired Pte Ltd

EA Licence No: 24C2293

Job Description: Software Developer with DevOps and Data Engineering Expertise

Position: Software Developer
Location: Singapore
Job Type: Contract 12 months

Job Overview:

We are looking for a highly skilled Software Developer with expertise in a broad range of technologies, including Java, .NET, Python, Dynamics CRM, and DevOps. The ideal candidate will have hands-on experience in software development, troubleshooting complex systems, and working with data engineering tools. This role will focus on developing robust and scalable solutions in a hybrid cloud environment, working across diverse technology stacks, and employing modern development methodologies like Agile, TDD, and BDD.

Key Responsibilities:

• Project Delivery:
  • Lead and contribute to software development projects using Waterfall and Agile methodologies.
  • Collaborate with cross-functional teams to deliver high-quality solutions on time.
• Development Expertise:
  • Utilize development skills in Java, .NET, Python, Dynamics CRM, SharePoint, and mobile technologies.
  • Design and implement solutions in cloud or on-premise environments using tools like SSIS and Denodo.
  • Leverage big data engineering tools such as Python, PySpark, and ETL platforms (e.g., Informatica) for large-scale data processing tasks.
• Testing & Quality Assurance:
  • Demonstrate knowledge of automated software testing methodologies, including unit testing, integration testing, functional testing, Test Driven Development (TDD), and Behavior Driven Development (BDD).
  • Collaborate with QA teams to ensure that all software components meet the highest standards of quality.
• Troubleshooting & Debugging:
  • Diagnose and resolve complex issues across various system layers, from system resource allocation to application stack traces.
  • Provide root cause analysis and suggest performance improvements for high-availability, high-performance systems.
• DevOps & Continuous Integration/Continuous Delivery (CI/CD):
  • Implement and manage DevOps pipelines and deployment processes to automate software builds and releases.
  • Use Docker and similar tools to create packaging/build scripts for deployment in hybrid cloud environments.
  • Demonstrate hands-on experience with data virtualization tools like Denodo and deployment automation.
• Data Engineering & Analytics:
  • Design, develop, and optimize SQL queries for data models, analytics, and data warehouse implementations.
  • Use data engineering skills to build and manage data pipelines that process and analyze large datasets in distributed environments.
• Infrastructure & High-Performance Systems:
  • Implement systems with high availability, performance, and security hosted across various data centers or hybrid cloud environments.
  • Ensure solutions are scalable, fault-tolerant, and meet performance and security standards.

Required Skills and Qualifications:

• Strong hands-on experience in Java, .NET, Python, and associated frameworks.
• Proven experience in Dynamics CRM, SharePoint, and Mobile/Cloud-based application development.
• Expertise in software testing methodologies (unit testing, TDD, BDD, etc.).
• Strong SQL and data modeling skills for analytics and data warehouse implementations.
• Experience with big data tools (e.g., Python, PySpark, Informatica) and data engineering processes.
• Hands-on experience with DevOps tools and CI/CD practices.
• Strong understanding of analytics, data warehousing, and virtualization tools like Denodo.
• Excellent troubleshooting and problem-solving skills.

Preferred Skills and Certifications:

• Relevant software development certifications such as Microsoft Certified Solution Developer for Dynamics or equivalent.
• Certified Software Testing Professional (CSTP), Certified Software Quality Analyst (CSQA), or equivalent certifications.
• Experience with high availability, high performance, and secure systems deployment across data centers or hybrid cloud environments.

Education & Certification:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in software development, DevOps, and/or data engineering will be an added advantage.

This role is suited for a highly motivated individual with a passion for building scalable, secure, and high-performance software solutions. If you are looking for a challenging opportunity to work with cutting-edge technologies in a dynamic environment, we encourage you to apply.

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

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

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

FMCG MNC

Job Summary:

• Assist the MDT Manager/leaders in the day-to-day operations of the Masterfile team.
• Organizes and collaborates with all commercial businesses to implement and execute master data Standard Operating Procedures and works closely with the leaders on assigned tasks to achieve the company's goals and meeting personal KPIs.
• Responsible for ensuring the accuracy, completeness, and reliability of master data in the system.

Job Description:

• Understand and specialized with various data maintenance
• Ensure accuracy and filing of all maintenance forms
• Ensure Masterfile data is clean and up to date.
• Perform Master Data cleansing on a regular basis
• Handling simple IT related issues feedback from banners and IT helpdesk (within 24 hours)
• Read email promptly and act within 24 hours
• Assist in master file cleanup when necessary
• Training of team members on compliance
• Perform UAT as required
• Other Ad hoc tasks assigned by supervisor/MDT Manager

Requirements:

• Minimum Diploma in Business Administration, Retail or a related discipline
• Proficient in MS Office applications, especially MS Excel (e.g. VLOOKUP, Pivot Table, etc.)
• Dynamic, self-motivated, able to work under pressure, prioritize tasks, and meet tight deadlines
• Strong administrative skills; organized and systematic
• Clear and effective communication skills
• Positive attitude with effective problem-solving abilities and attention to detail
• Fast, accurate, and meticulous
• Eager and willing to learn new tasks and share knowledge with the team

Please contact Terence at +65 9645 4048 your resume directly for fast response.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

This is a 12 months contract assigned to our client

Work Location: To be confirmed (during interview)

Salary Range : $5,000-$7,350

Design & Build Enablement

Skillset requirement:

5 Years experience Java (Core & Enterprise)

Java Application Servers (Tomcat & WebLogic) .NET

Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services

Well versed in Windows, Linux and/or Unix scripting

Azure integration IIS Oracle database (Core DB &PL/SQL) MSSQL

Good grasp on security fundamentals/PKI Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue

Scope of work:

Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements

Support application minor/major upgrade and hardware refresh including sanity test and regression test from system patching and minor/major upgrade

About the Role:

We are seeking a talented Data Scientist to join our team and focus on building domain-specific AI solutions. The ideal candidate will have a strong background in AI, machine learning, and natural language processing (NLP). This role involves developing, implementing, and optimizing AI solutions tailored to the real estate industry, ensuring they provide accurate, context-aware responses and enhance user engagement.

Duties & Responsibilities:

• Design, develop, and deploy domain-specific AI chatbots using machine learning and NLP techniques.
• Support various stakeholders by proposing and implementing data science models to extract insights
• Support Innovation, identify new areas of improvement for data analytics, big data technology with an eye to solve business problems.
• Support a clear communication strategy that keeps all relevant stakeholders informed.

Key skills & qualifications required:

• Bachelor’s degree in computer science / data science / information technology / engineering related studies
• Experience with LLMs, RAG, Embeddings, Vector DB, AI platforms and deployment of AI solutions
• Strong knowledge in statistical analysis and machine learning models
• Expertise in computer vision and natural language processing is a plus
• Experience with Big Data (Spark, Hadoop/Hive) and real-time analytics is a plus

Personal Competencies:

• Creative thinking backed by strong analytical and problem-solving skills
• Effective verbal and written communication skills
• Willing to learn new knowledge and explore unfamiliar domains

Key Responsibilities

• Analyze the data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security.

What we are looking for

. Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders

• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

Responsibilities & Requirement:

· Work closely with data stewards, data analysts and business end-users to implement and support data solutions.

· Design and build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python.

· Familiar with SDLC process: Requirement gathering, design and development, SIT testing, UAT support and CICD deployment for enhancements and new ingestion pipelines.

· Ensure compliance with IT security standards, policies, and procedures.

Must Have Skillset:

· At least 3 years of experience in a role focusing on the development and support of data ingestion pipelines.

· 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.

· Strong problem solving and troubleshooting skills.

· Strong communication and collaboration skills.

· Able to design, implement solutions and perform code reviews.

· Agile, fast learner, and able to adapt to changes.

Good to have (Skillset):

• Experience with Cloud environments (e.g. AWS).
• Experience in Java.
• Experience in ETL tools (e.g. Informatica).

SKILLS: Python, SQL, Snowflake, SDLC, SIT, UST, ETL, AWS, Informatica.

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.

We seek a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, and processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

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
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on the 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
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation for the continuous improvement of the analytics capabilities within the bank

Requirements:

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

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

· 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

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements:

· Bachelor's degree in Computer Science, Information Technology, or a related field

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus