• Create and maintain client static data in the system
• Scanning and archiving of client onboarding and periodic review documentation
• Perform mark-to-market pricing on securities
• Create and maintain asset static data in the system
• Other miscellaneous administrative role within the team

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

Job Responsibilities:

This is a governance & response role, the person will be working as an individual contributor, reporting into the regional DLP team lead in ARMO-ORM of MUFG Bank overseeing the DLP governance and response to support APAC Business Units.

The person will be responsible for the supporting governance and response relevant to DLP, this includes responding timely to the DLP questions raised from the BUs, checking the Change Management Document basic fulfilment, conducting analysis over the alert logs in periodical basis, follow-up with the business users for the suspicious transaction.

Job responsibilities include but not limited to:

Under supervision and guidance from regional DLP team lead, support the following activities.

1. Reporting and periodical review of DLP alerts

• Conduct analysis over the false positive, self-attestation suspicious activity on periodical basis
• To receive generated reports in periodical basis to highlight the false positive rates
• Report to be distributed to APAC countries business units.

2.HVA update reminder and collection

• Send reminder to BUs in semi-annual basis to revisit the High Value Asset(HVA) list to APAC countries business units.
• Collect and consolidate the HVA updated from each BUs.
• Share the changes to DLP Rule Engineering Team to configure it to DLP system

3.Coordinate incident response

• Inform Business Unit manager to escalate to Asia Risk Management Office / Information Security team and local compliance team on incident reporting requirement on potential incidents.
• To include DLP governance team on outcome of incident assessment.
• Report the outcome to APAC DLP Steering Committee necessary members.

4.Conduct periodical training to BUs

• Making use of the Reporting material prepared in monthly basis, prepare business users training material
• Conduct training towards respective BUs to raise their awareness
• Consider ways to measure maturity level of BUs on training

5.User inquiry response and Change Management

• Making use of the Reporting material prepared in monthly basis, prepare business users training material
• Conduct training towards respective BUs to raise their awareness
• Consider ways to measure maturity level of BUs on training

6. Support in APAC DLP Steering Committee

• Consider key inputs towards BUs stakeholders reflecting APAC DLP situation including results of incidents

7. User inquiry response and Change Request Management

• Respond to user inquiry relevant to DLP and coordinate with respective stakeholders until closure of the inquiry.
• Asia Systems Office system team to keep DLP Governance informed of Change Requests approved by Asia Risk Management Office/Information Security team and/or Asia System Office/Information Security System Management Standard team.

8. Act as required based on any other instructions from the regional DLP team lead

Job Requirements/Experience:

• Minimum 3 years of experience in helpdesk, communication and coordination with the business users.
• Ability to timely react and escalate generated alerts from DLP to ARMO Regional DLP Lead and handle queries from business units precisely.
• Good written and visual presentation skills (Excel, Word, PowerPoint)
• Ability to work effectively in a team environment, and takes initiatives to collaborate and challenge status quo, and adaptable to embrace new changes
• Strong interpersonal and analytical skills attributes
• Self-motivated and able to work independently and source for information, systematically evaluate options and recommend solutions

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

Job ID: 10067535

Office address : 6 Woodlands Sector 2 S(737725)

Working hours: Mon to Sat, 9am to 6pm

1. Answer phone calls and emails and direct them to the person in charge.
   1. Manage sales enquiries and processing of orders inc. preparing quotations,
      invoices and packing lists.
   2. Check and update payment status
   3. Prepare safety documents and new vendor forms for daily projects.
   4. Uploading signed forms/ checklists to cloud.
   5. Set up a neat and efficient filing system in cloud and on your computer.
   6. Track project progress claim
   7. Check cash receipt records are in order.
   8. Check inventory In-Out records.
   9. Getting supplier quotations if required.
   10. Booking keeping - (must be accurate in data entries)
2. Track accounts receivables / accounts payables / bad debts
3. Bank reconciliation
   1. Generate reports from Xero Accounting for managers’ analysis.
   2. any other duties assigned by your superior

• Position: Senior / Laboratory Assistant
• Working Hours: 5days (Mon-Fri), 8 am to 4.30 pm.
• Work location: Jurong Island (Transport provided at Jurong East)
• Salary : 1,900 to $3,200 + Site allowance

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

The Laboratory Assistant is responsible for conducting of laboratory tests and samples and quality inspections assigned to them by the Supervisor.
They are expected to be knowledgeable on all equipment operating procedures as well as all quality control procedures and competent on the use of laboratory equipment.

Other responsibilities include:

• Raw material process and finished product quality control analysis
• Advance maintenance, calibration and troubleshooting of assigned laboratory equipment
• Maintenance of chemicals and consumables inventory, preparation and standardization of chemical reagents and waste management.
• Maintenance of quality records and development of quality procedures
• Training of junior laboratory or chemical technicians
• Calibration of equipment
• Conduct and contribute to risk assessment, Quality Procedures and Decision making on quality & maintenance
• Procurement of materials and budget controls
• Implementing QA & Safety Activities

Requirement:

• 1 – 2 years or more than 5 years’ experience in conducting Manual Wet Chemistry or Manual Lab Testing.

Responsibilities for Administrative Clerk:

• Prepare essential documentation, including memos, reports, and other forms of communication
• Answer and respond to organization emails and phone calls, and forward communications to appropriate parties as necessary
• Regularly check and maintain record of necessary office supplies
• Communicate regularly with staff to help procure needed items

Qualifications for Administrative Clerk:

• Associate's degree in office administration may be preferred
• 1-2 years of experience for entry-level positions
• Familiarity with productivity tools, such as Microsoft Office Suite
• Knowledge of email systems, including Microsoft Outlook and Gmail
• Working knowledge of or ability to learn to use office equipment, including printers, fax machines, and phone systems
• Strong communication skills
• The ability to work independently and seek help or assistance as needed
• Self-motivated and highly organized
• Distinctly dependable and trustworthy, with a strong and proven work ethic

Embark on a Career That Impacts Lives

Doesn't matter if you are fresh to the industry, seeking a dynamic role in a fast-growing field or already in the Financial Advisory industry? Join as a Financial Advisor, where flexibility, entrepreneurial spirit, and unlimited earning potential converge. All we need is your energy and we will sculpt you into a success, not just using old methods, but also innovative methodologies. #WorkSmartNotHard

Key Responsibilities:

- Assess and craft financial strategies to meet clients' goals.

- Guide clients on retirement, education, and investment planning.

- Client Relationship Management.

- Interpret financial summaries and projections.

- Grow and maintain a strong client base.

Benefits & Rewards:

- Sign-On Bonus: S$500 upon career kick-off.

- Tailored Training: Gain essential certifications and skills with ongoing support.

- Funding Programme: Corporate financing for the first 24 months of your career.

- Attractive Rewards: Incentive trips and a 'work hard, play hard' ethos.

- Flexible Income Structure: Uncapped earnings through commissions, incentives, and bonuses.

Qualifications:

- Polytechnic diploma, JC cert, or degree in any field.

- Results-driven, motivated by performance rewards.

- Strong interpersonal skills with a passion for financial empowerment.

- Ideal for Career-Switchers / Fresh Entry / Less Than 2 Years of Experience within Financial Advisory Industry.

Entrepreneurial Experience: Learn to grow your own business.

Mentorship: Guided by successful mentors, who have strong teamwork and responsible ethos. #NoManLeftBehind

Join us to build a fulfilling career and make a meaningful impact. Apply now and start shaping your future!

Responsibilities

• Ensures that all unsecured and secured applications are processed with accuracy in accordance to the guidelines set by the bank, and within stipulated SLAs.
• This includes and are not limited to:
• Process and verify authentication checks &/or data entries
• Perform and verify accurate income computation
• Ensure accurate input/output to enable good customer service delivery
• Documentation of procedures to ensure compliance with group policies in procedures.
• Conduct internal reviews / tests to ensure compliance Assist with data analysis, report findings, recommend corrective actions and preventive actions for review.
• Handle administrative duties that include but are not limited to filing, printing, scanning, archiving

Skills/Requirement

Job Requirements

• Ability to think objectively and 'think outside the box' when analyzing issues
• Possess a strong analytical and problem-solving skills with excellent verbal/written communication and interpersonal skills
• Proficient in the use of Microsoft Excel, powerpoint and macro

• German MNC - Biomedical industry
• Entry level, training provided
• Gross salary (Basic $2,500 + Shift allowance $180 + Transport allowance $110)
• Contract 6 months - Subjected to extension/conversion

Location: East

Working hours:

Shift 1: 655am to 305pm

Shift 2: 255pm to 1105pm

Job scope:

• Perform assembly of medical device using microscope in a cleanroom environment

Job requirement:
Singaporean only

Interested candidate may apply via email to spkp(at)scientecpersonnel.com (Indicating Job ID J47303 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Poh Tze Qi (Kayley) | R2197837

ScienTec Consulting Pte Ltd | 11C5781

Salary: up to $3820

Working Days & Hours: Mon-Fri Office Hours

Location: Simei

Job Description:

* Provide social casework management, conducting psychosocial and financial assessment, counselling and recommending appropriate intervention in the management of patient care

* Facilitate discharge care planning

* Participate in multi-disciplinary team meetings and facilitate family conferences

* Network with relevant organisations, social service agencies and individuals to activate social and financial resources to meet patient’s needs

* Conduct home-visits

* Organise and run psycho-emotional-social group activities for patients

Job Requirements: Min Degree in Social Work

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]

As a Data Analyst in D-SIMLAB, you will get exposure in both technical and soft skills development. The role does not limit to only software development, but also involves in providing professional consultation services to customers, with the following key responsibilities:

Work together with a team of highly skilled Software Engineers and Data Scientists in software product deployment and delivery, at world leading semiconductor manufacturers.
Actively involved in product enhancement (in the area of visualization and algorithms) which improves the quality of D-SIMLAB product.
Responsible for key software components development.
Construct ETL to interface with data sources to feed d-simcon data model
Analyse data for consistency, completeness and correctness in the context of simulation modelling.
Identify factors associated with performance gaps between plan and actual.
Propose strategies to improve production line performance
Write codes for data analysis and got experience in wafer fabs will be a great advantage
We are looking for candidates fulfil the following criteria:

Bachelor/Master Degree specialises in Computer Science/Engineering or Industrial Engineering.
Diploma holders with relevant experience are encouraged to apply.
Enjoy working with experts with different cultural and technical backgrounds.
Love to travel the world and work on challenging projects.
Interest in career progression by strengthening your technical and soft skills.
Fresh graduates are welcome to apply.

Job Title: Data Engineer

Location: Tai Seng, Singapore

Job Type: Full-Time

Overview:
We are looking for a fresh graduate (degree or diploma) Data Engineer to join our growing team. In this role, you will design, build, and maintain data pipelines and infrastructure to support the collection, storage, and analysis of large volumes of data. The ideal candidate will have studied data engineering, cloud technologies, and have knowledge at optimizing data systems for performance and scalability. This position plays an important supporting role to our engineering team.

Key Responsibilities:

1. Data Pipeline Development:
   • Design, construct, and maintain scalable data pipelines that facilitate the extraction, transformation, and loading (ETL) of data from multiple sources.
   • Optimize data pipelines to ensure high availability, performance, and data accuracy.
   • Automate data workflows to streamline data processes and reduce manual interventions.
2. Data Infrastructure Management:
   • Develop, implement, and manage large-scale data processing systems using modern cloud platforms (e.g., AWS, Azure, Google Cloud).
   • Design and implement scalable data storage solutions such as data lakes, data warehouses, and databases (e.g., Redshift, Snowflake, BigQuery).
   • Monitor data systems for performance and scalability, making necessary improvements to infrastructure.
3. Collaboration with Stakeholders:
   • Work closely with data analysts, data scientists, and business teams to understand data requirements and deliver solutions that meet their needs.
   • Collaborate with software engineers and IT teams to integrate data systems with existing applications and services.
   • Ensure data architecture is aligned with the overall business strategy and technical environment.
4. Data Governance and Security:
   • Ensure data quality and reliability by implementing data validation, cleansing, and integrity checks throughout the pipeline.
   • Enforce data security best practices, ensuring that sensitive data is appropriately protected and compliant with regulations.
   • Implement data governance policies to manage metadata, data lineage, and access controls.
5. Performance Optimization:
   • Analyze and optimize query performance on large datasets, ensuring fast data retrieval and minimizing costs.
   • Implement monitoring and logging to identify bottlenecks and optimize resource usage.
6. Continuous Improvement:
   • Stay current with emerging data engineering technologies and techniques to keep systems at the cutting edge.
   • Continuously explore new ways to improve data architectures, pipelines, and processes to enhance efficiency and scalability.

Qualifications:

• Fresh graduates with Bachelor’s degree or Diploma in Computer Science, Information Technology, or a related field (or equivalent work experience).
• Proven experience as a Data Engineer or in a similar role, working with large-scale data systems.
• Strong proficiency in SQL, Python, or other programming languages used in data processing.
• Knowledge with cloud-based platforms and services (e.g., AWS, Azure, Google Cloud).
• Familiarity with distributed data processing frameworks such as Apache Spark, Hadoop, or Kafka.
• Knowledge with data warehousing and ETL tools (e.g., Snowflake, Redshift, Airflow, DBT).
• Strong understanding of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
• Knowledge of data modeling, data architecture, and data governance practices.

Preferred Skills:

• Knowledge with machine learning pipelines or real-time data processing.
• Familiarity with DevOps practices and CI/CD pipelines for data engineering.
• Knowledge with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Benefits:

• Competitive salary and bonus structure.
• Opportunities for professional development and certification.

Application Process:
If you are passionate about building data systems that support impactful business decisions, we encourage you to apply. Please submit your resume and cover letter to [[email protected]].

Our Client:

• Electrical Equipment Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

About JobTech
JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspirations. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
The JobTech team is an enthusiastic bunch obsessed with improving the jobs market by marrying technology and labour market intelligence. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers that are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know!

Job Description

As a Data Scientist at JobTech, you will leverage your skills in machine learning, data analytics, and AI to build solutions that enhance our platform and provide real value to our users. In this role, you’ll collaborate closely with internal teams and clients, delivering data-driven insights that inform product decisions and client strategies. You’ll also be directly involved in client calls, where you will present findings, discuss analytical results, and ensure alignment with client objectives.

Key Responsibilities:

• Develop and Implement AI Models: Build and optimize machine learning models, focusing on natural language processing (NLP), recommendation engines, knowledge graphs, and information extraction to drive value for both our platform and clients.
• Cross-functional Collaboration: Work with product managers, engineers, and fellow data scientists to ensure machine learning and analytics solutions are aligned with business goals.
• Prototyping and Experimentation: Continuously experiment with new algorithms and data techniques. Prototype models, iterate, and test their performance to ensure they meet real-world needs.
• Data Integrity & Architecture: Collaborate with data engineers to design and maintain scalable data architectures, pipelines, and analytics systems.
• Model Deployment & Monitoring: Deploy machine learning models into production environments, monitor their performance, and iterate on improvements to enhance results.
• Data Analytics & Insights: Perform in-depth data analytics, turning raw data into actionable insights that inform product decisions and client strategies. Use statistical and machine learning models to identify trends, patterns, and opportunities for product improvement.
• Client Engagement: Participate in client calls to present your data-driven findings and recommendations. Collaborate with clients to understand their needs and ensure our analytics solutions meet their expectations.

Requirements

• Educational Background: Master’s or PhD in Data Science, Computer Science, Engineering, or a related quantitative field.
• Experience: 2+ years of experience in data science or analytics, with a proven track record of delivering machine learning solutions and driving value through data insights.
• Knowledge Graphs Expertise: Solid understanding and experience with knowledge graph representation and applications, particularly in improving information extraction and recommendation engines.
• Data Analytics Expertise: Strong experience in data analytics, including exploratory data analysis, statistical modeling, and delivering insights to business and client stakeholders.
• Client Communication Skills: Ability to communicate complex data insights to non-technical audiences and engage with clients to address their needs.

Technical Skills:

• Advanced proficiency in Python and familiarity with data analysis and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and relational databases. Experience with Java is a plus.
• Hands-on experience building and deploying machine learning pipelines.
• Knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools like Docker is advantageous.

Compliance with our strict information security policies is mandatory

• Policy Compliance: Adhere to JobTech's information security policies and procedures.
• Risk Management: Identify, assess, and mitigate security risks to protect sensitive information.
• Incident Response: Participate in the detection, analysis, and response to security incidents.
• Security Training: Attend regular training on information security best practices.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data.
• Regulatory Compliance: Ensure compliance with relevant legal, regulatory, and contractual requirements related to information security.
• Team Collaboration: Work closely with other functional departments to ensure cohesive security measures.
• Confidentiality: Maintain the confidentiality of sensitive information and enforce data protection measures.
• Continuous Improvement: Stay updated on the latest security trends and continuously improve the JobTech's security posture.

Job Description:

• Recognised degree in Computer Science, IT or engineering with at least 5 years’ relevant experience in software development;
• Gone through at least one full software development lifecycle (SDLC) with experience in producing SDLC documentations;
• Extensive experience in analysing requirements, designing, development and delivering complex enterprise applications on UNIX / LINUX and Windows environment;
• Strong Database and SQL knowledge for writing complex queries and performance tuning;
• Extensive experience in Data Engineering and BI tools like IBM DataStage, Informatica, Cognos Analytics, Power BI;
• Strong understanding of OLAP, ETL/ELT and BI design concepts and best practices;
• Exposure in Cloud Data platforms like Snowflake, Databricks, AWS Redshift will be an advantage.
• Experience in Automatic Fare Collection (AFC) system will be an advantage;
• Strong analytical and problem-solving skills; and

• Good written and verbal communication skills in English.

We are looking for Data Specialist to be part of Regional Analytics Team supporting AP Analytics activities. In this role, you will be working with various stakeholders utilizing both internal and external data points to generate good and useful data sources that the Analytics Team can work on to provide Business Decision Reports.

Responsibilities

• Support regional field and partner analytics through rigorous data management- facilitating business success by ensuring data availability and accuracy, driving data projects to design and generate crucial information for different business needs and stakeholders where required
• Manage existing data to create consistent structure and improved accuracy, working from multiple data sources to synthesize and generate key datasets for KPI tracking (sales, prices, contracts, etc.)
• Establish rules for data consistency among regions and projects, preparing and distributing reports with key business information, or customer level product usage and contract requirements
• Provide data management on key information related to sales, prices, contracts, special agreements, agreement programs (rebates, admin fees, pricing reviews), customer affiliation and customer grouping in CRM systems, ensuring data integrity and accuracy
• Support implementation and operation of foundational functional infrastructure such as data pipelines between internal data sources and internal or external data marts
• Plan and execute projects to enable new capability, implement data tools, and design data visualizations for effective communication
• Act as data product owner for one or more capabilities delivered by the team—which include 1) providing support, subject matter expertise, and point of contact for our analytics tools and data assets, 2) driving strong activation and adoption of analytics capabilities, and 3) maintaining operation of platforms
• Work with analytics team stakeholders to understand analytics needs and apply our capabilities to those needs
• Promote best practices for data analysis, management, and insights communication
• Participate on cross-functional teams (internal and external vendors) to facilitate an enhanced understanding of available data, analyses, and systems

Responsibilities

• Developing and delivering consumer lines’ pricing & claims strategy by launching price experiments, monitoring them and using optimization techniques (including predictive modeling) to set prices that maximize the value generated through customer acquisition and retention.
• Execute all aspects of analytics initiatives including exploratory data analysis, launching experiments, model development, model evaluation and benefit estimation:Developing queries to extract modelling data from our warehouses, creative data exploration and feature engineering.
  Building, enhancing and assembling machine learning and statistical models to predict losses and customer behavior to improve our pricing.
  Using and developing pricing algorithms to deliver new price optimizations and tests.
  
• Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given model or analysis.
• Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.
• Have displayed strong preference to work with business users to make use of data to add value to the day-to-day business.
• Have a strong business sense especially when it comes to knowing how to translate technical concepts into language easily understood by lay audience + aptitude in building slide decks
• Know how to build rapport with business users to quickly build trust and gain buy-in

Required experience

• Undergrad in quantitative discipline (e.g. analytics, actuarial, mathematics, statistics, engineering, economics).
• 3+ years work experience in an analytical, modelling or data science role with programming experience in Python required.
• SQL and experience working with large or complex datasets.
• Extensive experience of multiple statistical methods, tools and language e.g Python, R, etc.
• Hands-on experience with building and developing GLMs and machine learning models.
• Experience with version control, automation tools and ML Ops based deployment.
• Be a fast learner to understand our business, its value drivers and the data it generates.
• Have a customer focus to both spot profit opportunities and do the right thing.
• Think creatively to master and combine machine learning and statistical approaches.
• Document your work, build pipelines to automate and teach others how to maintain it.

Desired Experience:

• Experience in insurance, or customer-facing industries (financial, competitive subscription-based industries like cell phone, ISP, cable) is preferred.
• Insurance industry/actuarial experience
• Experience with Spark and knowledge of advanced machine learning techniques and frameworks (e.g. H2O)

Job Description:

• Recognised degree in Computer Science, IT or engineering with at least 5 years’ relevant experience in software development;
• Gone through at least one full software development lifecycle (SDLC) with experience in producing SDLC documentations;
• Extensive experience in analysing requirements, designing, development and delivering complex enterprise applications on UNIX / LINUX and Windows environment;
• Strong Database and SQL knowledge for writing complex queries and performance tuning;
• Extensive experience in Data Engineering and BI tools like IBM DataStage, Informatica, Cognos Analytics, Power BI;
• Strong understanding of OLAP, ETL/ELT and BI design concepts and best practices;
• Exposure in Cloud Data platforms like Snowflake, Databricks, AWS Redshift will be an advantage.
• Experience in Automatic Fare Collection (AFC) system will be an advantage;
• Strong analytical and problem-solving skills; and

• Good written and verbal communication skills in English.

Must Have Skills

1. Programming languages: Python / Spark
2. Experience with Linux utilities & SQL.
3. Experience in using PySpark for data transformation.
4. Knowledge of AWS services such as Redshift, Glue, Cloudformation, EC2, S3, Lambda.

Good to Have Skills

1. ETL Tool Experience
2. AWS Exposure

Key Responsibilities

1. Responsible for the development of ETL pipeline in open source to carry out data ingestion
2. Write programs to extract data from data lake and curated data layer to meet business objectives
3. Collaborate with different teams to gather the understanding of the application to design the ETL pipeline
4. Gather business and functional requirements, and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture
5. Participate in the full development life cycle, end-to-end, from design, implementation, and testing, to documentation, delivery, support, and maintenance and produce comprehensive, usable dataset documentation and metadata

You will be part of a dynamic team to drive growth in designing, managing and developing a Regional Data Warehouse Platform with various local and remote teams to generate insights and reports of the OTT business. Reporting to Assistant Lead, Data Innovation, you will be involved in improving/maintaining the data platform, AI/ML innovation projects and creating insightful dashboards.

Key Responsibilities

• Build and support Google Cloud Platform CDP, AI/ML and Big Data Projects
• Explore / Reconcile data using various open-source tools and/or cloud tools to generate business insights
• Work on insightful dashboards for business and operations
• Work on PoC and AI/ML projects within the group and with 3rd parties
• Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals
• Design, code and test data systems and work on implementing those into the internal infrastructure or cloud platform
• Build scalable data pipelines to extract, transform, load and integrate data
• Develop codes and scripts to process structured and unstructured date in real-time form a variety of data sources
• Test data pipelines for scalability and reliability to process high data volume, variety and velocity
• Consolidate and create storage solutions for storage and retrieval of information of regional data
• Gather data and generate business insight requirements by working with local Content, Marketing and Integrated Sales teams

Requirements

• Bachelor degree or Diploma in Computer Science or Computer Studies.
• 1 - 2 years' Data Analysis experience
• Experience in Go/Python programming as well as in AI/ML
• Has prior experience in Data modelling, API integrations, statistics, forecasting, DML, DDL, DQL, DCL or TCL
• Familiar with or willingness to learn Google Cloud and open to explore / PoC on other cloud platforms.
• Confidence in writing SQL or willingness to improve SQL skill
• Experience or willingness to learn modern software development lifecycle, CI/CD
• Open to learn new technologies to achieve best practices

Desired:

• Experience in creating ETL workflows, using Airflow or similar open source projects.
• Experience in real-time or near real-time data ingest at Google Cloud Platform or similar.
• Willingness to learn or working experience of one or more of the followings: Serverless Data Pipelines, Asynchronous Messaging Services, Cloud Object Storage, Cloud Scheduling Systems, Fully Managed Data Workflow Orchestration Services, Multi Cloud Data Warehouses, Serverless Workflow Orchestration and VPC Networks.
• Experience in AI/ML projects and/or research, such as BQML, Vertext AI and Auto ML.

Key Responsibilities:

• Ensure the accuracy and timely delivery of reports.
• Maintain data accuracy, security, and confidentiality in the database and library.
• Assist in data entry, analysis, and organization of relevant information.
• Support teams by generating clear and actionable insights through data interpretation.
• Create charts and visual reports to support presentations.
• Ensure proper documentation and maintenance of data processes.

Qualifications:

• Degree in administration, business, or equivalent
• Experience: preferably 1 year’s experience or more in data administration
• Proficiency in data entry, management
• Strong communication skills and excellent interpersonal and organizational skills.

Click apply if you enjoy the following,

• Interaction with people
• Fun and vibrant environment
• Work hard and play hard

Scope:

Recruitment

• Write and post advertisements (unleash your creativity)
• Brainstorming ideas to boost recruitment
• Screening and set-up appointments between candidates and HR manager
• Prepare starter kits
• Maintain the sales team's profile and details into system
• Participate in team bonding activities

Administration

• Tallying sales reports sent from HQ to ensure income is being paid accurately
• Key in sales reports
• Prepare director's reimbursements
• Housekeeping of office location
• Ad hoc duties required by the director

Requirements:

• Singaporeans only
• Pleasant and good learning attitude
• Proactive
• Meticulous and detail-oriented
• Approachable and friendly

Interested candidates who are keen to find out more about this opening, click apply now!

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.

In this role as Data Architect Lead, you will be working alongside Data Engineers, stakeholders such as product managers, team leads, and senior management to empower the client technical data platform department of our client with actionable data and platform capabilities.

You will be integral in the design and implementation of reliable, performant and scale-able data platform and engineering solutions. In addition, you will lead a team that looks after the daily data platform operations and its efficiency.

What You’ll Need To Succeed

• At least 7 years of experience in Data Platform Architect or Data Engineering Lead related roles
• At least 5 years of experience in Microstrategy operations (Infrastructure / Business) - requiements gathering to customer reporting sessions
• Strong education background with degrees in Computer Science, Engineering or Information Systems (preferred)
• knowledge of visualization tools such as Tableau, Power BI or other platform
• Strong working and architecture knowledge of ETL and related tooling; Informatica, penthao and natively with AWS
• Working proficiency in SQL and familiarity with at least one of the programming language (e.g., Python, Scala)
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Strong working knowledge of AWS specific Data Engineering and Data Science solutions (Redshift, Glue, SageMaker)

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Highlights

5 Days Work Week

Medical & Dental benefits

Dynamic and Vibrant Working Environment

Summary

We are seeking a highly skilled and analytical Data Analyst to join our team. In this role, you will leverage data to support product development and quality control, offering valuable insights through trend analysis. You will play a critical role in optimizing processes and interpreting complex datasets to drive continuous improvement.

Responsibilities:

• Collaborate with internal and external stakeholders to understand data needs in order to provide data-driven recommendations for product development and process optimization.
• Develop, maintain and enhance dashboards, reports and visualization using Power BI and other tools for product quality and process efficiency.
• Stay current with the latest data trends and technologies and AI applications in the food industry to drive innovation and improvement.

Requirements:

• Bachelor’s degree or higher in a relevant field such as Food Science, Chemistry, Nutrition, Data Analytics or IT.
• Minimum 1 year of experience in data analytics.
• Proficiency in data analysis and visualization tools such as Excel, Power BI and other relevant software.
• Strong written and verbal communication skills, with the ability to communicate in Chinese.
• Excellent problem-solving and analytical skills, with keen attention to detail.
• Ability to work independently and collaboratively in a team environment.
• Only Singaporeans may apply.

Qualified or interested candidates, please click "Apply " & send your updated resume stating the following:-

1. Reason for leaving past and present employment

2. Current/ last drawn salaries

3. Expected Salary

4. Date of availability and/or Notice Period