Responsibilities:

• Handle Service and repair cases of ear pieces, In-The- Ear (ITE) Hearing Aids, Behind-The-Ear (BTE) Hearing Aids
• Handle Urgent custom made ear piece order
• Provide Support in logistics (i.e Packing)
• Trimming/ Filling Ear mold
• Need to perform soldering work
• Quality Check and testing of all out-going instruments
• Scanning Ear impression for custom made ear mold and ordering from Vietnam
• Maintain housekeeping for safe working environment
• Any other ad-hoc duties assigned by the supervisor

Requirements

• Min Diploma in Biomedical Engineering or any relevant field
• Training is provided
• Comfortable with a 6 months contract to perm role
• Working Days & Hours: Mon-Fri Office Hours
• Location: One North

Interested candidates, pleaseInterested candidates please send your updated resume to:

[email protected]
Attn: Senior /Testing Technician (Medical Device/ Taiseng) #HKA

We regret to inform that only shortlisted candidates will be contacted

EA Personnel: Kayley Ng Yin Yi (R1762843)
Company EA Registration Number: Recruit Express Pte Ltd (99C4599)

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

• Basic + Mobile reimbursement + Corporate Grab transport
• Will be moving around, depends onsite requirement
• 5 days, 9am to 6pm

Responsibilities

• Deploy, configure, manage, and maintain virtualized infrastructure.
• Create documentation, perform root cause analysis, quickly identify trends and recommend possible solutions.
• Troubleshoot network, hardware, and software related issues.
• Serve as a primary support and maintenance resource for customers.
• Perform required maintenance off hours and support 24x7 operations.
• Participate in requirements gathering.
• Present and promote solutions and services to highlight value add.

Requirements

• Minimum Diploma in computer science, information technology, computer programming or relevant studies with 2+ years experiences in virtualization technology is preferred.
• VMWare Certified Professional (VCP) is an advantage.
• Knowledge of server systems, storage systems, virtualization technologies and networking.
• Knowledge of data centre route/switch technology, backup/recovery in a virtual environment.
• Understanding of active directory architecture, DNS administration.
• For Virtualization ie VMware, Microsoft Hyper-V.
• For Storage ie HDS (Hitachi Data System), HPE, Dell, EMC, Lenovo, IBM.
• For Backup Software ie Veeam, Veritas BackupExec, Veritas NetBackup, Acronis, Arcserve, Shadow Protect.
• Preferably with some working experience and knowledge in Linux.
• Excellent written and oral communication skills, strong coordination and project skills.
• Strong customer experience mindset, listening, understanding and responding to customer needs.
• Assess and evaluate current virtual computing infrastructure, and provide recommendations for enhancements.
• Keen to learn.
• Job Reference: L9VX4R34

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to [email protected]

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd

Tel: 6950 9754

EA Registration Number: R22110899

EA License number: 02C4944

EA Personnel: Celeste Wong Xin Yann

Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

Main Purpose of the Job:
The Parts Advisor (Parts Counter) sells parts over the counter and answer enquiries from
customers. He/she assists customers in selecting required parts in a friendly professional and
efficient manner via the electronic parts catalog. Guaranteeing customer satisfaction and loyalty
are top priorities. He/she is the main contact person to the technician in material request. He/she
reports to the Asst Parts Manager / Parts Manager.

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

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

• Generating data to establish a basis for analyzing sales and fostering market growth through the utilization of Microsoft and SAP software.
• Responsible for promotional initiatives, generating leads, and contributing to the development of sales strategies.

Requirements:

• Degree in Marketing or equivalent.
• At least 2 years of relevant experience.
• Proficient in Microsoft Excel.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R22111604

Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

• Experience on Azure Cloud.
• Experience in developing data ingestion, data processing through Data bricks and analytical pipelines for relational databases, NoSQL and data warehouse solutions
• Strong experience in data curation/aggregation/preparation using Azure Data Lake, Azure Data Factory and distilling data into meaningful insights with hands-on expertise on Azure and Data bricks
• Designs, modifies, and builds new and scalable data processes
• Expert in Data Engineering and building data pipelines, implementing Algorithms in a distributed environment
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Extensive experience providing practical direction within the Azure Native services
• Good experience in Spark SQL is preferred with Azure services.
• Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Data bricks Azure Data Catalog, etc.
• Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Event Hub, Kafka, etc.
• Experience in using various File Formats and compression techniques
• Experience working with Developer tools such as Azure DevOps, GitLab
• Experience with private and public cloud architectures, pros/cons, and migration considerations
• Experience developing and deploying ETL solutions on Azure
• Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
• Experience of working in Agile delivery
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills
• Excellent organizational, multi-tasking, and time-management skills
• Sr Azure Data Engineer with strong experience on Azure ADF, Synapse, Python, exposure to Spark
• Strong understanding of Azure DevOps, exposure to Data modelling

Established Import & Export Company dealing with fresh vegetables locating in the western part of Singapore (10 mins walk from Haw Par Villas MRT)

Criteria :

1) Fresh ITE/Polytechnic graduate with no working experience are welcome as training will be provided.

2) Knowledge of Accounting

3) Computer Knowledge in Microsoft Excel

4) Need to know Mandarin

5) Willing to learn

6) Able to start work immediately

Working Hours : 9am to 6pm, Monday to Friday, 5 day week

Salary range : $2,300.00 to $2,500.00 depending on qualification and working experience.

Please email resume to [email protected]

Or whats app at 98216277 for an interview.

· Position: Admin Executive (Contracts/Data-Entry) - FULL TRAINING PROVIDED

· Location: Mountbatten Square

· Working hours: Monday to Friday (8am to 5pm/8.45am - 5.45pm)

· Salary (commensurate with experience): Up to $3,000 + Performance Bonus + 12 Days Annual Leave + Medical Benefits

· Duration: Permanent

· Industry: Building Construction

Main Responsibilities:

· Type project related letters and file project relates letters

· Prepare Supply Agreement, Letter of Awards, Contracts Agreements

· Prepare Minutes of Meeting

· Assist in Tender bidding exercise

· Prepare bi-weekly site Manpower Report

· Maintain listing of current NSC, DSC and Suppliers per project

· Monitor expiry of project Insurances, Performance Bond and Warranty

· Any ad-hoc duties assigned from time to time

Requirements:

· Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only

· Candidate must possess at least “A" level or Diploma

· Proficiency in MS Office (Word, Excel, Power Point, Outlook)

· At least 1 year of working experience in the related field is preferred

Email to: [email protected]for more information.

Do visit www.facebook.com/search.personnel for more job listings.

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

Abby Pang

Associate Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

Key Responsibilities:

- Understand the intricacies of Data Centers within your designated region.

- Conduct audits for power and mechanical capacity, and oversee upgrades.

- Collaborate with internal teams to troubleshoot and perform Root Cause Analysis (RCA) and Corrective Action (CA) for design-related issues.

- Liaise with local colocation partners to comprehend and synchronize site utility requisites.

- Offer after-hours support as necessitated.

- Undertake tasks such as rack setup, cabling, server powering, and handoff to internal provisioning units.

- Manage tasks via internal tools like JIRA and Confluence.

- Uphold meticulous documentation and adherence to SOPs.

- Assess and prioritize incoming and open tickets based on their severity.

- Manage inventory processes for data center equipment receipt, tracking, and shipment.

- Deploy, label, and repair fiber, copper, and telecom cables, alongside patch panel systems.

- Collaborate with project teams and colocation partners to validate the functionality of electrical and mechanical systems.

- Extend operational support encompassing failure mode analysis, root cause identification, maintenance assistance, best practices, procedural reviews, and more.

- Curate and maintain comprehensive technical documentation concerning corporate data centers and operational procedures.

- Collaborate with regional and business leaders to optimize performance, enhance reliability, and improve efficiency across collocated, leased, and owned data center infrastructures.

- Participate in operational reviews, gathering and analyzing technical data to pinpoint and rectify existing reliability and availability concerns.

- Offer expertise to address and mitigate global resiliency, reliability, and availability risks.

- Facilitate the intake, evaluation, and resolution of issues related to collocated, leased, and owned data center builds, focusing on the provision of quality improvement recommendations.

- Collaborate with internal teams to set and maintain standards, ensuring consistency and reliability in service delivery.

- Emerge as the go-to technical authority within the team and across other departments.

- Approach challenges with a positive attitude, consistently offering innovative and creative solutions.

Qualifications:

• Bachelor of Science degree in Computer Science, Information Systems, or equivalent work experience.
• 5-12 years of experience in Data Center infrastructure Operations support and server administration in a mid-sized environment (200 - 1000+ server systems).
• 5-12 years of incident management experience, responding to electrical and mechanical failures, focusing on incident resolution and lessons learned.
• Proficiency in two or more of the following areas:
• Power capacity allocation for high and low-density racks.
• Incident management and resolution for outages related to M&E.
• Systems administration (Linux and/or Windows Servers).
• Networking (DNS, TCP/IP).
• Proficiency in data center design, commissioning, and operational best practices.
• Track record of executing Method of Process (MOP) improvements.
• Exceptional problem-solving skills and a penchant for delving into system intricacies to resolve customer issues.
• Excellent oral and written communication skills.
• Strong adherence to processes, assuming the role of a process champion.
• Effective influencing skills.
• Ability to work independently with minimal direct management oversight.
• Experience supporting large Enterprise customers in an Operations environment.

Preferred Qualifications:

- Bachelor's degree or relevant work experience.

- 5+ years of enterprise data center experience.

- Familiarity with Linux administration or other command-line interfaces.

- 2+ years of experience in Structured Cabling (Copper/Fiber) and cable testing.

- 5+ years of experience in Cooling and Electrical systems concepts within data centers.

- Proficiency in repairing and working with enterprise server hardware.

Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

• Experience on Azure Cloud.
• Experience in developing data ingestion, data processing through Data bricks and analytical pipelines for relational databases, NoSQL and data warehouse solutions
• Strong experience in data curation/aggregation/preparation using Azure Data Lake, Azure Data Factory and distilling data into meaningful insights with hands-on expertise on Azure and Data bricks
• Designs, modifies, and builds new and scalable data processes
• Expert in Data Engineering and building data pipelines, implementing Algorithms in a distributed environment
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Extensive experience providing practical direction within the Azure Native services
• Good experience in Spark SQL is preferred with Azure services.
• Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Data bricks Azure Data Catalog, etc.
• Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Event Hub, Kafka, etc.
• Experience in using various File Formats and compression techniques
• Experience working with Developer tools such as Azure DevOps, GitLab
• Experience with private and public cloud architectures, pros/cons, and migration considerations
• Experience developing and deploying ETL solutions on Azure
• Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
• Experience of working in Agile delivery
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills
• Excellent organizational, multi-tasking, and time-management skills
• Sr Azure Data Engineer with strong experience on Azure ADF, Synapse, Python, exposure to Spark
• Strong understanding of Azure DevOps, exposure to Data modelling

JOB RESPONSIBILITIES:

• Manage and provide support to customers and managers
• Perform sales administrative and order management functions
• Handle customer enquiries and correspondences
• Liaise with various departments on planning, delivery, quality, engineering and registration matters
• Provide design and administrative support in marketing materials and corporate website
• Any other sales administration and marketing related duties as assigned

WORKING HOURS:

• 5 days work week, Day shifts.
• 8am – 5.30pm (Mon – Fri)

JOB REQUIREMENTS:

• Diploma/Degree in Business Administration or relevant discipline
• Relevant working experience in manufacturing sector

All qualified applicants, please send in your resume NOW to:
Whatsapp: https://wa.me/+6597430026
Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA License Number: 99C4599

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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 SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

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

EA Licence No. 07C5639

Salary: up to $2500

Duration: 6 months contract to perm

Working Days & Hours: Mon-Fri Office Hours

Location: One North

Job Description:

• Handle Service and repair cases of ear pieces, In-The- Ear (ITE) Hearing Aids, Behind-The-Ear (BTE) Hearing Aids

• Handle Urgent custom made ear piece order

• Provide Support in logistics (i.e Packing)

• Trimming/ Filling Ear mold

• Need to perform soldering work

• Quality Check and testing of all out-going instruments

• Scanning Ear impression for custom made ear mold and ordering from Vietnam

• Maintain housekeeping for safe working environment

• Any other ad-hoc duties assigned by the supervisor

Job Requirements: Min Diploma in Biomedical Engineering 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]

Project Summary

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• CAT-1 eligible or cleared candidate is required for this role.
• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

Entry level Nitec / Diploma in Engineering X 5 Opening

Junior/Senior / No experience / Entry level welcome apply ( X5 Permanent Role Opening ) URGENT !!!

Good Pay + Good allowance + Good Bonus

Full training provided for Entry Level

The Job

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

Requirement

• Diploma / PSB Diploma / Higher Nitec / Nitec in Mechanical / Mechatronics Engineering or others Engineering related

Good Pay + Good allowance + Good Bonus

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

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

• Leading company in fund management
• Permanent position with career progression

About Our Client

Our client focuses on developing Quant Fund and Fundamental Fund. These strategies leverage our expertise in commodity/financial markets, coupled with our extensive knowledge of derivatives and honed statistical and mathematical skills.

Job Description

As a Data Engineer, you shall be responsible for:

• Demonstrate expertise in managing diverse data, handling data pipelines using ETL tools, ensuring quality, and efficient persistence.
• Design, implement, and support solutions post-implementation.
• Operate within Agile and Scrum methodologies, employing TDD, Automated Testing, Continuous Integration, Automated Deployment, and Pair/Peer reviews.
• Define objectives by analysing user requirements, envisioning system features, and functionality.

The Successful Applicant

As a suitable candidate, you shall possess Min. 3 years of experience in data engineering including experience in using Python, relational and No SQL database, and familiar with Kafka , Spark , Airflow & Postgres DB. You shall also have Min. Degree in Computer Science, Data Science or related field.

What's on Offer

• Stable organisation with career growth opportunity
• Attractive salary and benefit package

Job Objectives

The Bank is seeking 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, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of their ML Solutions.

Key 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

Key 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

Product Data Manager

Requirements:

• Defining data quality management measures for accurate Global Product Hierarchy (GPH) assignment and ongoing data maintenance
• Single point of contact for all GPH structure related questions and issues
• The management of the GPH attribute; including the underlying assessment of the business requirements
• Define standards and business rules to avoid misuse of the GPH information; Suggest measures for improvement
• Acts as escalation level and decision instance for run-organization for the GPH steward
• Acts as final and accountable decision instance for GPH approval on group level
• Excellent communication and interpersonal skills

Interested Applicants please forward your updated profile to [email protected]

NOTE:

Under the revised Employment Agencies License Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g., NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterly-referral-and-placement/are-employment-agencies-allowed-to-collect-personal-data

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Career Advisor 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 + Uncapped, Attractive Sales 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

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• 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]

Responsibilities

• To provide 24 x 7 support for Data Center running on 12 hours shift
• Assisting the Customer in the verification, isolation and/or provision of a temporary work around for the incident/problem logged.
• Resolving the incident/problem onsite.
• Escalating unsolvable problems and service requests to the System and/or
• Software Engineer and reporting the escalation to the Project Manager.
• Generating the relevant administrative records and reports.
• Introducing and integrating new technologies into existing environments.
• Applying operating system updates, patches, and configuration changes.
• Adding, removing, or updating user account information, resetting passwords, etc.
• Answering technical queries
• Maintaining the configuration of the system.
• To implement Service Request and Change Request
• Contacting OEM/Vendor for technical support

Requirement

• Possess Degree/Diploma in Computer Science/Electronics/IT or equivalent
• Minimum 1 year of relevant working experience in IT infrastructure operation
• Able to perform 12 hours shift working

Interested candidates, please click on “Apply Now”. Alternatively, you may email us detailed resume to [email protected]

Tempserv Pte Ltd

License No : 06C3745

Consultant In-Charge: Daniel Lee / EA Personnel No: R1989151

Entry level / Junior welcome apply

5 days work week / Permanent Role / Company transport provided

Full training provided !!

Job Responsibilities :
* Perform quality control analysis for in-coming, intermediate and final products
* Carry out calibration of equipment and ensure in working condition
* Ensure activities in the laboratory are safe
* Maintain up to date analysis reports

Job Requirements :
* Nitec / Diploma in Chemical Process Technology / Chemistry or equivalent
* Preferably with hand on experience in sampling, preparation and analysis for
liquid samples
* Prefer experience in handling laboratory analytical
equipment

Good Pay + Good allowance + Good Bonus

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

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

Position title : IT Engineer (Navision)

Location: Tai Seng

Working Days: Monday - Friday

Working hours : 9am -6pm

Salary : $4,000-$5,600

Interested applicants can also send your resume to

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THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities:

• Support Microsoft Dynamic Navision ERP system, and produce Jet Reports
• Support and implement new EDI solutions and applications. Develop and maintain EDI integration using XML
• Hardware and software installation and maintenance.

Requirement

• Minimum Diploma in IT
• Ideally, also has experience in hardware and software installation and maintenance.
• Must be strong in Navision Application support in manufacturing (inventory, warehouse management, production), finance, purchasing, sales support.
• Web development knowledge an added advantage.

Responsibilities:

• Engage in both exploratory data analysis to identify trends and data patterns
• Perform data preparation and data cleaning part of data migration project. 
• Understand Source data and support Source to Target mapping rules
• Design and implement the ETL framework for the data warehouse
• Build and maintain DBT pipelines to transform source data into reporting data models for our visualization team
• Build the Data Ingestion framework and ingest data from source files to load into Staging layer using DBT
• Code orchestration pipelines leveraging Python to connect data ingestion, DBT, Power BI
• Perform data profiling and identify any data quality issues and report to source systems 
• Using best practices build the ETL components as per mapping rules to move data into ODS; SOR layer and Data marts 
• Ensure the ETL jobs are set up; configured and scheduled  
• Develop data pipeline observability test scripts in DBT to monitor anomaly and freshness, and detect data quality issues
• Perform Unit testing on ETL components built and provide unit test results. Support System Integration testing and User Acceptance testing and fix any issues 

• Proven experience as a Data Engineer, with a focus on ETL development, Azure Data Factory, and DBT Cloud.
• Strong proficiency in SQL and experience working with relational databases.
• In-depth knowledge of data modeling and data warehousing concepts.
• Experience with cloud-based data platforms, particularly Azure.
• Certification in Azure Data Factory or DBT.

Join the exciting world of data and help us build the foundation for successful data-driven insights!

We're looking for a skilled and experienced Data Engineer to play a key role in our data migration project. You'll be responsible for designing, developing, and implementing the data ingestion and ETL components, ensuring accurate and reliable data flows to our data warehouse.

What you'll do:

• Deep-dive into the data, uncovering trends and patterns through exploratory data analysis.
• Prepare and clean the data, ensuring its quality and readiness for migration.
• Understand source data and map it effectively to target systems.
• Design and implement the ETL framework for our data warehouse using industry-standard tools.
• Build and maintain DBT pipelines to transform raw data into ready-to-use data models for reporting and visualization.
• Develop the data ingestion framework, loading data from source files to a staging layer using DBT.
• Leverage Python to orchestrate data pipelines, connecting ingestion, DBT, and Power BI.
• Monitor data quality and identify any issues, reporting them back to source systems.
• Implement best practices and map rules to effectively move data across ODS, SOR, and data marts.
• Set up, configure, and schedule ETL jobs for smooth data flow.
• Develop data pipeline observability tests in DBT, detecting anomalies, freshness issues, and data quality problems.
• Perform unit testing on ETL components and support system integration and user acceptance testing.

Who you are:

• A data enthusiast with a Master's/Bachelor's degree in computer science, engineering, business analytics, information systems, or a related field.
• Minimum of 3 to 4 years of related experience.
• Experienced in building cloud data pipelines and data warehousing, ideally within a cloud data warehouse environment.
• Proficient in ETL tools like Azure Data Factory, Azure Databricks, and DBT Cloud.
• Familiar with modern data stacks, particularly Snowflake, Airflow, and AWS data services.
• A strong communicator and team player who thrives in a collaborative environment.

Bonus points:

• Experience with big data techniques like Hadoop, MapReduce, Hive, Pig, and Spark.
• An understanding of statistical modeling, machine learning, data mining, and text mining concepts.
• A track record of solving problems with data-driven approaches.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

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