The Job:

• Assist the team in administrative and documentation support to ensure compliance with bank’s policies & procedures.
• Assist scanning and End of the Day reconciliation
• Assist in batching of trade related documents and batching of forms

The Requirements:

• Min GCE O Level and Above
• Training will be provided
• Proficent in MS Office
• Min 1-2 years of admin working experience

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

CEI: R1104482

JANE LUI JIE'EN

RCB Nos: 19960130W, EA 99C4599

Responsibilities:

• You will be part of the project team to assist clients in the Built Environment industry to embark on their digital transformation journey. You will be instrumental in:
• Working with stakeholders which includes client teams, industry practitioners, technology providers and research institutions to adopt latest digital technology and develop solutions to support the built environment;
• Evaluate the feasibility of the various new and emerging methodologies and technologies;
• Assist in the formulation, testing and providing recommendation to various aspects of digital transformation in project, organisation and industry-wide implementation.
• Strong familiarity and knowledge of Singapore Authorities’ regulations for buildings
• Strong familiarity with Opendata format such as Industry Foundation Classes (IFC)
• Experience of solving the technical problems faced by the project team and the problems related to the operation of the project
• Experience of guiding the project team to perform the necessary quality control tests of the created or received BIM models; Experience of checking the delivery and receipt of digital models and the coordination process with the relevant people; Strong familiarity and Knowledge of architectural and construction management practices

Requirements:

• A bachelor’s degree in architecture, Engineering, Construction Management, or a related field is generally preferred.
• Advanced degrees or certifications in BIM, project management, or related fields can enhance prospects (e.g., LEED, PMP, or specific BIM certifications).
• 7+ years of experience in BIM management or related positions, demonstrating leadership in large-scale projects.
• Extensive experience in developing BIM execution plans, setting up project standards, and ensuring compliance with industry best practices.
• Proven experience in leading BIM implementation on projects, managing BIM workflows, and collaborating with multidisciplinary teams.
• Experience in leading modelling efforts, mentoring junior modellers, and overseeing quality control of models produced by the team
• Strong interpersonal skills to facilitate collaboration between architects, engineers, contractors, and other stakeholders.
• Advanced proficiency in BIM software and tools (e.g., Autodesk Revit, Navisworks, Civil 3D, BIM 360).
• Understanding of modeling techniques, data management, and visualization tools.
• Knowledge of building codes, regulations, and standards relevant to the construction industry.
• Collating and reconciling data and information from various sources to ensure completeness and accuracy
• Good command of spoken and written English
• A keen interest in digital technology will have an added advantage.

We are seeking a skilled and detail-oriented BIM Modeler with expertise in both Revit and Archicad to join our dynamic team. The successful candidate will play a critical role in the development, coordination, and delivery of BIM models for a variety of projects.

Key Responsibilities:

• Modeling and Documentation: Create, manage, and update BIM models using Revit and Archicad to support project requirements from design through to construction.
• Collaboration: Work closely with architects, engineers, and other stakeholders to ensure accurate and timely delivery of project models and documentation.
• Coordination: Facilitate the coordination of BIM models across multiple disciplines, ensuring clash detection and resolution.
• Standards Compliance: Adhere to and help develop company and project-specific BIM standards and workflows.
• Quality Control: Perform regular audits on models to ensure compliance with project standards and industry best practices.
• Training and Support: Provide training and support to team members on Revit and Archicad software and BIM processes.
• Project Management: Assist in project management tasks, including scheduling, resource allocation, and progress tracking.
• Innovation: Stay updated with the latest BIM trends, tools, and technologies, and recommend improvements to current practices.

Qualifications:

• Education: Bachelor’s degree in Architecture, Engineering, or a related field.
• Experience: Minimum of 3-5 years of experience in BIM modeling with proficiency in Revit and Archicad.
• Technical Skills: Strong proficiency in Revit and Archicad, including family creation, parametric modeling, and project setup.
• Software Proficiency: Familiarity with other BIM-related software such as Navisworks, Dynamo, Solibri, and BIM 360.
• Knowledge: Understanding of construction methods, building systems, and industry standards such as ISO 19650.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely.
• Problem-Solving: Strong analytical and problem-solving skills, with a keen eye for detail.
• Team Player: Ability to work collaboratively in a team environment and adapt to changing project requirements.

Preferred Qualifications:

• Certifications: Professional certifications such as Autodesk Certified Professional in Revit or Archicad certification.
• Experience: Previous experience in a multi-disciplinary environment and involvement in large-scale projects.

The Software Tester manages processes and personnel to conduct quality assurance testing. The Software Tester develops effective and efficient methods throughout the QA process, and collaborates with various teams to ensure a high-quality product.

Responsibilities:

· To develop, establish, and enforce quality assurance standards and measures for the course of software development lifecycles

· Works with the end users, Business Analysts (BAs), Designers and Development Team to define/iterate the test coverage plan to ensure the test scenarios and test cases are scalable and sufficient

· Provide testing effort estimation for sprint features.

· Conduct system integration tests with external systems and generate test reports by applying proven analytical / problem-solving skills

· Development and maintain requirement traceability matrix

· Works with end users to ensure complete and thorough execution of UAT

· Coordinates with Development Team to ensure bugs are resolved timely and identifies bug root cause

· Analyses bugs trend and fine tune QA processes to improve overall quality of the product

· Develops and fine tunes QA processes and working agreement with stakeholders through regular retrospectives

· Share the findings/improvements with the team and end users

· Works with Delivery Team to plan, schedule and execute regression for every product release

· Works with end users to prepare acceptance documentation for project sign off.

Requirements:

· Bachelor’s degree in computer science, Information Technology, Engineering, or a related field is often preferred with minimum 5 years of working experience. Advantage for applicants with:

1) BIM (Building Information Modelling / Management) experience

2) Certifications such as Certified Software Testing Professional or Certified Software Quality Analyst

· Proficiency in test management tools (e.g., JIRA, TestRail, ALM) for tracking defects and managing test cases.

· Knowledge of programming or scripting languages (e.g., Java, Python, SQL) for test automation and data validation.

· Experience with continuous integration and continuous deployment (CI/CD) pipelines.

· Experience in API Testing

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Data Engineer

• 6 months contract with a possibility of extension
• Work location: CBD

Our Client

• MNC IT company

The Opportunity

• Work across workstreams to support data requirements including reports and dashboards
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes
• Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications
• Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery
• Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming
• Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data
• Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools

Your Background

• More than 3 years of experience in data engineering fields
• Data Engineering skills: Python and Databricks
• Preferably with working experience in AWS cloud

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.
Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.

Job Title: Data Engineer (6-month Contract)

Experience Required: 3-5 years

Key Responsibilities:

• Develop and optimize data pipelines and workflows using Databricks.
• Write and maintain efficient, scalable Python code for data processing.
• Integrate, manage, and process data on AWS cloud infrastructure (preferred).
• Collaborate with cross-functional teams to ensure data quality and integrity.
• Troubleshoot and resolve data-related issues in a timely manner.

Key Requirements:

• 3-5 years of hands-on experience in Databricks and Python.
• Proven experience with AWS cloud services (preferred).
• Strong problem-solving skills and attention to detail.
• Ability to work independently and meet project deadlines.

• Design, develop, and maintain scalable data pipelines and ETL processes using Hadoop and Spark.
• Write efficient and optimized data processing jobs in Scala to transform and load data.
• Utilize SQL for querying and manipulating data across various databases.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that meet business needs.
• Monitor and troubleshoot data processing workflows to ensure high performance and reliability.
• Implement best practices for data quality, governance, and security.
• Document data engineering processes, workflows, and architecture for team knowledge sharing.
• Stay updated on industry trends and emerging technologies to continuously improve our data strategies.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Hadoop ecosystem components (e.g., HDFS, Hive, Pig).
• Hands-on experience with Apache Spark for big data processing.
• Proficient in Scala programming for data transformation tasks.
• Advanced SQL skills for querying and managing large datasets.
• Experience with data modeling, data warehousing, and ETL processes.
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
• Strong analytical and problem-solving skills.

Data Engineer

• Design, develop, and maintain scalable data pipelines using Hadoop, Apache Spark, and related Big Data technologies.
• Implement ETL (Extract, Transform, Load) processes to manage large-scale data from various sources.
• Collaborate with cross-functional teams to define data architecture, data models, and pipelines that support banking applications and analytics.
• Develop and optimize complex SQL queries for data extraction, aggregation, and transformation.
• Work with business stakeholders to understand banking requirements and translate them into technical specifications for data solutions.
• Implement data quality controls and performance optimization techniques for high-volume data systems.
• Ensure adherence to data governance, security, and compliance guidelines in the banking industry.
• Continuously monitor and improve the performance of existing data solutions, including troubleshooting and debugging issues.
• Contribute to the integration of new tools and technologies in the data ecosystem to support ongoing projects and innovation.
• Experience in data engineering, with a focus on Hadoop and Apache Spark.

Key skills

• Hadoop, Spark, SQL, ETL, Kafka, Hive, HBase
• Strong experience in SQL, including complex queries, optimization, and performance tuning.
• Experience in the banking or financial services industry is highly preferred.
• Proficiency in data warehousing concepts and hands-on experience with ETL tools.
• Familiarity with distributed systems and large-scale data processing.
• Solid experience with Linux/Unix scripting and working knowledge of shell scripting.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of Kafka, Hive, HBase, or other Big Data tools is an advantage.
• Excellent problem-solving and debugging skills.

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

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:

· 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

• Assist in the development and optimization of ETL processes using PySpark and Databricks.
• Collaborate with team members to design and implement data models and architecture in AWS.
• Maintain and monitor data pipelines to ensure data quality and reliability.
• Utilize GitHub for version control and collaboration on codebases.
• Participate in code reviews and contribute to best practices in coding and data engineering.
• Support the team in implementing CI/CD practices for data workflows.
• Document processes and workflows for data engineering tasks.

• Familiarity with AWS services (e.g., S3, Redshift, Glue) and cloud computing concepts.
• Basic knowledge of Databricks and PySpark for data processing.
• Understanding of Git and experience with GitHub for version control.
• Awareness of DevOps principles and tools (e.g., CI/CD, Docker) is a plus.
• Databricks certification is a plus.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

1. Data Pipeline Construction

• Design, develop, and maintain data pipelines, ensuring a smooth flow of data from multiple sources to data warehouses or lakes.

• Enable, maintain, and support pipelines to provide unified and reliable data sources.

2. Data Architecture Design

• Responsible for designing and maintaining data architecture.

• Use technologies, databases, and storage solutions to handle data efficiently and securely.

3. ETL Processes

• Perform Extract, Transform, Load (ETL) operations: - Extracting data from various sources - Transforming raw data into a structured format - Loading the processed data into storage systems for analysis

4. Data Quality Assurance

• Implement data cleaning and validation processes to enhance data accuracy and consistency.

• Monitor data quality and optimize performance to ensure reliable and usable data for analysts and data scientists.

5. Scalability and Optimization

• Design systems that can handle large volumes of data,

• Ensure scalability of data infrastructure.

• Improve and optimize data storage and retrieval.

6. Data Governance

• Implement data governance and security measures to ensure compliance

• Create, manage, and implement policies, standards, and documentation

7. Data Analytics & Reporting

• Project Management of Data Analytics deliverables

• Create, publish, and admin Power BI reports and dashboards

• Delegate, Manage, and Coordinate with the extended Data Analytics team

Mandatory Skills

1. Programming

• Python

• SQL

• ETL

2. Database Management

• MS SQL Server Environment

• Data integration tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics

3. Power BI Expertise:

• DAX, Power Query, and creating advanced data visualizations.

• Experience in Data Modelling techniques 4. Azure Cloud Environment

• Proficiency in Azure cloud platform, including

• Azure SQL Database, Azure Data Lake Storage

• Azure Analysis Services

• Azure Data Studio

5. Useful experiences

• Machine Learning

• Artificial Intelligence

6. Required Soft Skills

• Problem-solving

• Collaboration

• Communication

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

• Strong programming skills in languages such as Python, Java, or Scala

• Expertise in SQL and experience with both relational and NoSQL databases

• Proficiency in data modeling and database management

• Experience with big data technologies like Hadoop, Spark, and Kafka

• Strong experience in Azure cloud platforms

• Knowledge of data warehousing concepts and technologies

• Experience with ETL tools and processes

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• 5+ years of relevant experience in data engineering, data analytics or must have been in a similar role

Preferred Skills

• Azure Data Engineer certification

• Azure Data Analytics and PowerBI certifications

• Experience with AI/ML will be advantageous

• Strong experience in data visualization tools and techniques

• Familiarity with agile delivery methodologies

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

Responsibilities:

• Supporting Factory Acceptance test and Site Acceptance test
• Maintain reliable service tool inventory
• Upkeep Service Documents includes timesheets, service/repair reports, follow-ups, daily logs, expenses etc.
• Upkeep engineering documentation- drawings, version history, scope documents, RFI's.
• Troubleshooting, debugging and integration processes
• Knowledge of vacuum machine operation and machine construction
• Submit timely documents of service activities and expenses

Requirements:

• ITE/Diploma in Electrical/ Electronics / Mechatronic Engineering
• Entry level are welcome with 2 years experience in semiconductor tools is plus
• Proficiency in Japanese is essential as need to liaise with Japanese clients
• Hand on in high vacuum equipments, pumps, chillers, and compressors
• Able to interpret maintenance manuals, schematics, and wiring diagrams

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

Lin Weikang
EA Personnel No: R21102570
EA License No: 23C1894

Information:

1. Salary Range: $2600 - $3000
2. Working hours: 8am - 5pm

Responsibilities:

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Troubleshooting production problems and assisting in planning new project work.

Requirements:

• ITE/Diploma in Mechanical / Mechatronics / Electrical Engineering
• Entry level 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

Why choose your career with us?

Culture:

We work with vibrant and enthusiastic individuals that constantly seek to outshine the best! We welcome creative and innovative ideas from each and everyone. Team work makes the dream work!

Advancement & growth opportunities:

You’ll have the opportunity to grow and advance! We are part of a larger organization in 7 other countries, theres going to be upward advancements and rewarding opportunities. We provide a platform for you to learn and develop with no experience needed!

Your responsibilities:

- Follow up with leads

- Overcoming challenges and don’t be afraid to make mistakes

- Basic professionalism and communication with customers

- Brainstorm with top performers to executive strategic planning

People we are looking for:

- Solution finders

- Excellent listening skills and communication skills

- Great work ethics and learning attitude

- Team oriented individuals

Apply to stand a chance! Only shortlisted candidates will be notified.

• Cyber security service
• Basic $2800 - $4200
• Mon-Fri (8.30am-6.00pm)
• Working location: Jurong East area
• Company transport provided: Jurong East, Choa Chu Kang

Responsibilities

• Identifying potential markets, industries, and business opportunities.
• Analyzing competitors, market trends, and customer needs to inform strategic decisions.
• Maintaining and nurturing relationships with existing clients to ensure satisfaction and repeat business.
• Addressing client inquiries, resolving issues, and managing expectations.
• Preparing and presenting updates to stakeholders on business development activities, progress, and strategic initiatives.

Qualifications

• Diploma/ Degree in Cybersecurity, Computer Science etc
• No working experience are also welcome.

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R23114214 | Chloe Tan

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

Job Highlights:

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

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

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

• Handle full spectrum of recruitment and talent acquisition matters

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

• Coordinate interviews between candidates and clients

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

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

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

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

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Are you ready to embark on an exciting journey with a leading global outsourced events and sales powerhouse?

At our dynamic company, we don’t just solve problems – we tackle them with creativity and innovation! Join us as we shape the future of the industry and develop tomorrow’s leaders.

What We're Looking For:

• Thrive in a fast-paced, ever-evolving environment.
• Demonstrate exceptional leadership skills with a passion for collaboration.
• Eager to take on new challenges and grow personally and professionally.

About the Role:

In this role, you'll lead planning and operational initiatives, working closely with diverse teams to overcome obstacles and ensure operational excellence. Success requires strong problem-solving abilities, effective communication, and the capacity to navigate complex, cross-functional challenges.

Responsibilities:

• Grow our client base while nurturing and expanding existing relationships.
• Develop compelling sales presentations and proposals.
• Exceed customer expectations and drive business objectives.
• Build lasting partnerships through innovative, win-win solutions.

Why Join Us?

• Immerse yourself in a dynamic, collaborative work culture where teamwork drives success.
• Unlock personal and professional growth with numerous advancement opportunities.
• Expand your horizons through international networking with our global teams.

Ready to unleash your potential? Join us and embark on a journey of endless possibilities! Apply today!

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.

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

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Position title: Optometrist

Location: Orchard

Working Days: 5 Days [ Rest day & off day fall on weekdays ]

Working hours : 11am - 830pm (Monday to Sunday)

Salary : $3500 - $4200

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities

• Perform eye examinations using specialized equipment for diagnosis and testing
• Provide professional advices and solutions to customers
• Communicate with customers to get detailed case histories
• Present good knowledge when explaining the feature of the contact lens
• Dispense and manage the inventory of contact lens, trials and solutions
• Maintain patient eye health and purchases records
• Maintain good condition of equipment and measuring devices
• Ensure smooth running of daily shop operations
• Reports to Asst Optom Manager.

Requirement

• Minimum Diploma in Optometry
• Fully registered with Singapore Optometrists & Optician Board (OOB)
• Around 2-3 years of experience as Optometrist
• Able to commit retail hours (11am to 830pm) and work on weekends and public holidays

Information:

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

Responsibilities:

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

Requirements:

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

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

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105