The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

• 5 Years experience Java (Core & Enterprise) Java Application Servers (Tomcat & WebLogic)

• .NET Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database (Core DB &PL/SQL), MSSQL Good grasp on security fundamentals/PKI .

• Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct, Ant Design Vue Scope of work: Development SIT/UAT support Implement micro services and enhancements Production support, bug fixes, and enhancements.

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

1. At least have a HCIP in datacomm.
2. Able to do day to day troubleshooting and maintenance of the network with the help of Huawei APSupport.
3. With well knowledge range of Huawei device.(datacomm, storage, cloud).
4. Able to see overview of customer network and locate customer pain point.
5. Automate the configuration and upgrades of switches within a network.
6. Install inside wiring, hardware (modems, network cards, routers), and software.
7. Evaluate new technology such as SAN and NAS technology for possible application in corporate data center.

Working day & Time : Mon-Fri 8.30am - 5.30pm

Salary: $1,800 ~ $2,000

Location: Sungei Kadut Industrial Estate

Roles & Responsibilities

• Assist Foreman in administrative tasks such as: photocopies, E-zlink cards, cash cards, payslip, PPE insurance and correspondence.
• Prepare & Coordinate the Delivery Orders (D/O); Disposal Orders and Material Request Forms and Purchase Orders.
• Ensure driver timesheets are submitted from the workshop office to HQ in a timely.
• General administrative duties as and when assigned.
• Maintain proper filing system (e.g.: Invoices / documents, etc…)

Requirements

• Minimum GCE ‘O’ Level or Certificate in Office Skills.
• Proficient in using MS Office / E-mail Knowledge.

Low Jia Yi R22104302

The Supreme HR Advisory Pte Ltd 14C7279

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

The Job
To support QC operations. Responsible for ensuring a product or service meets the established standards of quality.
Any other ad-hoc duties assigned.

Requirement

Diploma in Mechanical Engineering / Mechatronics Engineering

Full Training Provided

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 )

Deloitte Forensic is the pre-eminent forensic practice in Singapore and Southeast Asia and advices local, regional and global clients in the complex areas of Disputes, Discovery, Forensic Analytics, Forensic Investigations (including, fraud, corruption and misconduct), and Financial Crime Advisory.

• Deliver on financial crime projects for financial institutions, fintechs and regulatory bodies

• Develop and deploy sophisticated analytical approaches to gain a deeper and more complete understanding of complex business issues

• Lead engagements and provides strategic direction to the team to deliver on the client engagement

• Assist in business development and provide leadership in Southeast Asia Forensic Data Analytics practice

• Develop relationships, establish credibility with, and instills confidence in clients

During your tenure with us, you will demonstrate and develop your leadership and professional capabilities in the following areas: Inspiring, creating purpose, driving agility, building diverse capability, influencing, collaborating, delivering value, building the business, analytical acumen, effective communication, engagement management/delivery excellence, managing change, managing quality & risk, sales excellence, strategic thinking and problem solving, and tech savviness.

Requirements

• Bachelor degree or above from an accredited university in Computer Science, Data Analytics or related disciplines

• Approximately 10 years of experience in a professional services or consulting firm. It would be an advantage to have experience encompassing both professional services and corporate

• Relevant subject matter experience in financial crime systems and application of analytics covering at least 2 of the following - transaction monitoring, screening, client due diligence and case management

• Experience with financial crime systems - OFSAA, Detica, Actimize, Fircosoft, Netreveal, SAS etc.

• Experience in one or more of the following - Python, R, SQL, SAS and Scala

• Engagement and team management experience with excellent people skills

• Excellent communication and report writing skills to translate technical content for both technical and non-technical audiences

• Experience with handling multiple simultaneous projects and a wide array of clients

• [Preferred] Experience in model validation (focusing on ML models)

• [Preferred] Experience in big data applications and Apache framework including Hive, Spark, Sqoop etc.

• Be a collaborative team player who can connect with a diverse group people and build rapport

• Able to operate with minimal supervision and think laterally

Optimum Solutions (Registration Number: 199700895N) is Singapore's leading Information Technology , Consulting and Professional Services company with Competence in Digital Transformation, Automation, Robotics, Cloud, Big Data, Analytics and Emerging technologies projects. Optimum has been successfully delivering IT projects since 1997 and has been a key IT service provider to clients delivering Software Design, Development, Engineering and IT Transformation Projects.

Role : Data, Report and Dashboard Analyst

Job Requirements:

• Minimum bachelor’s degree or equivalent professional qualifications in Computer Science, Business Information Systems, Mathematics, Statistics, or similar quantitative discipline, with at least 4-6 years of total work experience in banking/finance industry, preferably with business / functional knowledge
• Basic knowledge in banking operations is required. Having experience as a data analyst or in a related role/field in banking/finance industry is highly desirable
• At least 2 years of hand-on experience in MS SQL, Jira, Confluence, Qlik Sense, Power BI, eazyBI and relevant data/report-related plugins for these systems.
• Excellent command of Excel, and fluent in one or more programming languages, such as Python, SQL, SAS, and R
• Experience in gathering and documentation of business and technical requirements for data collection, analysis, maintenance, and reporting purposes
• Proficient in designing, developing, modeling, and documenting data-driven solutions – including capturing / creating / utilizing data architectures, metadata systems, data dictionaries, databases, applications, pipelines, BI Tools, Big Data Platforms, analytical /query, and visualization tools\
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy, and keen to deep dive into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem
• Exceptional data visualization and communication skills to present findings and insights to senior management and key stakeholders, including non-technical business users.
• Good written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure
• Ability to work effectively in a team-fostered, multi-tasking environment, and a proactive team player who is curious about data and possesses a strong drive to create and lead initiatives.

Domain - Banking

Salary: up to $4k

Job Duration: 6 mths

Working Days & Hours: Mon-Fri 9am-6pm

Location: Raffles Place

Job Description:

• Perform daily finance and accounts related activities
• Drive process improvement and enhance controls for cost optimisation and mitigate regulatory, compliance and operational risks
• Ad hoc duties assigned by the team leader

Job Requirements: Min Degree in Accountancy, Finance or Business

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]

Responsibilities:

• Install and configure equipment on data center racks (servers, switches, routers, firewalls).
• Replace components in existing hardware (mainboards, CPUs, RAM, HDDs/SSDs, network modules, transceivers, cables).
• Conduct patching of fiber optics and Ethernet cables, ensuring accurate connections.
• Maintain tidy cable management for efficiency.
• Prepare servers for operation (OS installation, network/firewall config, application installation).
• Perform operational and maintenance tasks (cable tests, equipment power cycling, console interface setup for remote access).
• Troubleshoot issues (ping/traceroute, hardware tests, generate logs for vendor escalation).
• Manage inventory and ensure proper asset tracking.
• Enforce data center processes, access control, and compliance with rules and regulations.
• Escort external vendors to ensure premises security.

Requirements:

• Min Nitec in Computer Science, Information Technology or related disciplines
• Candidate with no experience is welcome to apply, training will be provided
• Proficient in equipment installation and troubleshooting.
• Strong knowledge of data center operations.
• Excellent organizational and communication skills.

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

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Job Highlights:

• Basic up to $2400 + AWS + VB
• Monday - Friday, 8.30am - 6.00pm
• Airport Cargo Road
• Freight Forwarding Company
• Full training is provided
• The company will sponsor candidates to take external courses

Job Responsibilities:

• Offer general administrative and clerical support to the Cost Data Admin Department.
• Update cost data for air, sea, and land freight shipments using the KEF system.
• Coordinate with stakeholders to resolve any discrepancies.
• Scan documents as required.
• Organize PDF invoices received via email and upload them into folders for robotic process automation (RPA) execution.
• Perform any additional tasks as assigned.

Job Requirements:

• Minimum O 'Level and above
• Minimum 1 year of experience in administrative duties
• Must be proficient in Microsoft Office (Word, Excel etc.)

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

*We regret to inform you that only shortlisted candidates would be notified*

We wish you all the best in your career search.

You are welcome to visit our website at http://www.rkgroup.sg/

RK Recruitment Pte Ltd | EA License No.: 20C0280

Ian Gan Zhi Shen | EA Personnel No.: R21102913

JD760

Responsibilities:

• Oversee the Data Security Engineering team, consisting of direct and indirect reports (including full time employees, contractors, MSS staff and external service providers personnel). This includes hiring, training, career development, and performance management.
• Lead all aspects of data lifecycle disciplines, including but not limited to planning, design, implementation, and ongoing support of such technical solutions as data discovery, mapping, processing, recovery, de-identification, encryption, loss prevention, rights management, etc.
• Create and update new strategies, project plans and policy documents based on compliance and operational requests that map to SHEIN's business requirements
• Develop and manage security budget forecast, expense, and technology, service and vendor roadmaps.
• Liaise with external agencies, such as law enforcement, standards and technology organization, advisory bodies and industry
• Work directly with IT teams to facilitate risk analysis, solution requirements and technology roadmaps to ensure compliance with industry and regulatory standards.
• Establish credibility throughout the organization by earning the reputation for being a proactive senior leader and change agent.
• Sustain high-availability service levels and ensure fulfillment of business-wide service levels and operational support objectives.

Skills and Qualifications:

• 10 years of experience in security engineering, with a dedicated focus on data security field and at least 5 years of direct people management experience.
• Possess a Bachelor’s degree or higher in the field of Engineering, Computer Science, Business Analytics, or equivalent advance technology field of study
• Relevant cyber security certifications, such as CISSP, CISM, CISA and/or PMP are highly desired
• Must be skilled at mentoring and motivating staff, communicating goals and other corporate initiatives and driving to results
• Strong knowledge of data privacy regulations and guidelines such as GDPR, CCPA, PCI, etc.
• Extensive experience building data protection programs in e-commerce or related industries, with strong working and practical knowledge of cloud, network, endpoint, application, and IDM.
• Experience building data driven security metrics to support security operations.
• Experience with change management and development lifecycles, and regular preparation of management status and executive reports
• Strongly process and procedure oriented in managing projects
  Ability to translate complex data security threats and risks from a technical perspective to business-line understanding and execution
  
  
  
  

Responsibilities:

• Perform initial and final inspection of incoming/outgoing products, materials or customer items according to procedures and customer's specifications, including FAI (First Article Inspection) parts.
• Raise report whenever necessary.
• Perform incoming and outgoing documentation check, including FAI parts
• Interact and liaise with suppliers for any quality/technical related issues.
• Control further processing and delivery of nonconforming products.
• Monitor and maintain inspection tools and equipment
• Interact and liaise with customers for any quality/technical related issues.
• Prepare test procedure or design fixture, whenever needed.
• Perform assembly, testing and packing as per procedure/documentation whenever needed. Prepare and implement procedures, work instructions and other quality related documents.
• Implement QMS procedures, work instructions and other quality related duties/documents.
• Carry out failure analysis work and reports.
• Serve as a centre base documents controller for technical data and quality documents.
• Perform any other supporting duties as assigned.

Requirements:

• Minimum Diploma/Degree in Engineering
• Possess at least 1 -2 years prior working experience in engineering functions. Candidates with no experience will be considered as well
• Proficient in Microsoft Office.
• Training will be provided.
• Willing to travel as occasional travel is required.

Interested applicants pls send your updated CV to:

kate.leau@recruitexpress.com.sg

Subject: Quality Engineering

EA Personnel No: Kate Leau Wei Xuan (R1552331)

Company Registration No.: 99C4599

Job Scope:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.

Able to work independently, with initiative and minimal guidance/supervision

Our client is from Medical Manufacturing industry. They are looking for a Inspector to assist their team for the next phase of their business. They are located in West.

Duties:

• Conduct routine lot Release functional tests for various products.
• Assist in functional and cross-functional testing for validation studies.
• Execute outgoing tasks, including visual inspections and management of finished products.
• Thoroughly perform required quality inspections/reviews.
• Maintain accurate records and documentation.
• Support daily routine tasks, ensuring timely production of quality work.
• Maintain an acceptable level of 5S housekeeping.
• Handle ad-hoc laboratory matters and duties assigned by the direct supervisor.

Requirements:

• Min 1 year of workig experience in QA & QC is required.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv. We regret that only shortlisted candidate will be notified.

Email address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Reg. No. R23115873 (New Jirn Tone)

Purchaser / Procurement experience welcome apply

( Pick up bas provided)

5 days work week

Work life balance

• Generate PO / DO
• Responsible for issue PO
• Administrative work

Requirements:

• Diploma / O Level / GCE “A” level or its equivalent with minimum 2 years’ experience in purchasing function/ Admin

Good Pay + Good allowance + Good Bonus

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

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

JOB DESCRIPTION

• Assist with keying in of accounts for a portfolio of clients;
• Assist with keying of tax computation
• Assist with preparing financial statements in accordance with SFRS and Companies Act 1967

REQUIREMENTS

• Diploma or degree in accountancy or equivalent qualifications;
• Preferably have at least 1 year working experience in keying full set of accounts;
• Prior working experience in an accounting/audit firm will be advantageous;
• Proficiency in accounting software will be advantageous;
• Possess basic working knowledge on accounting and tax concepts;
• Good interpersonal skills and self-driven;
• Able to work independently and interdependently;
• Able to provide quality work within deadline;
• Possess a high attention to detail and professionalism

Responsibilities:

• Overseeing data projects, operations and initiatives regionally in both Commercial and Medical areas
• Overseeing analytics operations in the region in alignment with global data operations/engineering teams
• To be able to support and partner in country data operations and engineering leads, specifically China, Japan & Canada
• Develop strategies for effective data analysis and reporting, able to build/contribute to building systems to efficiently ingest and transform data into meaningful insights
• Lead/participate technical discussion forums with global, regional and country counterparts
• Vendor management, measure, improve and control for any existing/ new strategic partners support all data work
• Oversee region data security and compliance
• Manage relationships with Technology heads from each countries, including business and commercial teams and global support teams

Requirements:

• Bachelor Computer Science / Computer Engineering, or equivalent experience.
• At least 10 years of established experience in a relevant technology role, especially in data management and data tools build capability (MSFT Power Platform)
• Knowledge in commercial operations/excellence, field force effectiveness
• Knowledge of AI/ML, Gen AI
• Strong stakeholder’s engagement and management skills are important to work across all cross functional teams
• Clear and influential communication skills with the ability to work effectively with both internal and external stakeholders.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24078

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Job Scope:

• Commercial software engineering: Have strong professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills.
• Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging
• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark
• You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets
• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay
• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques
• Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies

Job Requirements:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark. • Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau

Responsibilities:

• General maintenance of the facilities
• Ensuring equipment, gadgets and instruments are maintained at optimal functioning level at all times.
• Maintaining a safe environment such as managing visitors entrance and departure, ensuring safe and smooth traffic flow.
• Manage day to day operations in inventory management e.g. receiving of stocks, weekly distribution of supplies to wards
• Assets management and labeling of assets
• Update on stock level and replenishment where required
• Improving productivity standards
• Issuance and receiving of stocks
• Create Purchase Requisition and receive Purchasing Order
• Conduct general repair and maintenance of premises and equipment
• Prepare and arrange rooms in the Home for different functions
• Assist in assets movement and labelling of assets
• Ensure the key facilities are functional and trigger external maintenance when needed Report to the Reporting Officer of any equipment malfunction or breakdown
• Man the Fire Command Centre, CCTV monitoring system, fire safety alarm system and attend to security issues, eg. activate SCDF when required
• Participate as member of the Homes Fire Safety Committee and support Operations to attend to any fire hazard

Requirments:

• Min Nitec or Diploma in Electrical/Mechanical Engineering or Building Services or equivalent
• Training is provided
• Keen to join the healthcare industry

Attn: Facilities Technician (Entry Level/ Healthcare, West) #HKA

[email protected]

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)

Job Scope:

• Responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company's data and analytics needs

Job Requirements:

• Must have at least 2 years of relevant working experience in the following areas:
• Experience in designing and developing data warehouse workflows and big data development using Informatica PowerCenter or BDM
• Experience in working on Big Data Platform such as Cloudera/Hortonworks or Databricks or using Spark.
• Experience in SQL using Oracle or MS SQL Server
• Good working knowledge in Big Data Technologies such as Hive, Hdfs
• Good troubleshooting and problem-solving skills 4.4 Preferred skill sets:
• Experience in data visualization development using Power BI, QlikView/QlikSense or Tableau. Experience in scripts development in Unix or Linux environment.

Able to work independently, with initiative and minimal guidance/supervision

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient big data platform solutions.

• Design and architect robust big data platforms, ensuring high performance, reliability, and scalability.

• Implement end-to-end data processing workflows, from data collection to analysis and visualization.

• Work closely with data scientists, analysts, and engineers to optimize data models and algorithms for efficient and accurate data analysis and mining.

• Lead the implementation and deployment of big data technologies, ensuring smooth integration with existing systems and infrastructure.

• Provide technical guidance and mentorship to development teams on big data best practices, tools, and technologies.

• Collaborate with stakeholders to define data governance and security policies and ensure compliance.

• Conduct performance tuning, monitoring, and troubleshooting of big data platforms to optimize performance and reliability.

• Stay up-to-date with industry trends and advancements in big data technologies and DevOps practices, and provide recommendations for adoption as appropriate.

• Successfully deliver projects, including big data platform implementations, data warehouse architectures, data analysis and mining, and user profiling and tagging systems.

Qualifications:

• Bachelor's degree in Computer Science, Computer Technology, or a related field. Advanced degree preferred.

• Proven experience as a Big Data Architect, with extensive experience in planning, designing, implementing, delivering, and maintaining big data platforms.

• Proficiency in the entire data processing workflow, including data collection, cleansing, preprocessing, storage, analysis, mining, and visualization.

• Demonstrated project experience in designing, developing, delivering, and deploying BI products.

• Strong project experience in business analysis and data applications in mainstream industries such as virtual currency, food delivery, internet retail, freight logistics, banking, finance, and e-commerce.

• Knowledgeable in big data technologies, frameworks, and tools such as Hadoop, Kafka, Flume, Spark

• Skilled in microservices deployment and maintenance, with expertise in DevOps practices.

• Involved in data warehouse architecture design and implementation, data analysis and mining, and user profiling and tagging system design and development.

• Successfully implemented projects in the field of big data, data warehousing, and business intelligence.

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