Key Responsibilities:

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Create interactive dashboards and visualizations using Power BI, Tableau, or similar tools to effectively communicate findings
• Evaluate and improve data quality, ensuring the accuracy and consistency of datasets
• Present insights and recommendations to management in clear, concise, and impactful formats

Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• At least 2-3 years of work experience in data analytics, database management or statistical analysis or a related field
• Familiarity with F&B or retail industry analytics is an advantage
• Strong data visualization skills using tools such as Tableau, Power BI, or equivalent
• Advanced proficiency in Microsoft Excel; experience with SQL, Python, or R is a plus
• Strong analytical, curious, business-oriented and written/oral communication skills, capable of presenting technical information to nontechnical stakeholders, and the ability to interpret complex datasets
• Attention to detail and a commitment to delivering high quality work

• 6 months contract role
• Opportunity to convert into permanent role
• Newly created role for the upcoming new project

about the company

Our client is a global leader within its industry. They operate across a global scale and are recognised as true industry leaders. They are considering one of the largest companies in the world by revenue. Great career opportunity awaits the right person in this exciting Senior Data Engineer role

about the job

• Build and manage processes to extract, transform, and load data from various sources (e.g., ERP, CRM, e-commerce, omnichannel platforms) into centralized systems.
• Drive efforts to streamline data sources and reduce redundant subscriptions, particularly from omnichannel platforms.
• Implement models to support business functions like sales forecasting, customer segmentation, and pricing optimization.
• Develop secure, scalable infrastructure to accommodate growing data volumes across both cloud and on-premises environments.
• Work with teams to uncover data-driven insights, especially from emerging omnichannel sources.
• Oversee data integrity through profiling and cleansing, including handling third-party and Chinese data labels.
• Improve data pipeline efficiency and query performance to provide timely insights.
• Provide technical assistance to help teams leverage data insights for enhanced business performance.

successful candidate

Minimum 3 years of experience in data engineering across cloud and on-premise environments.

Strong proficiency in SQL, Python, and data warehousing concepts. Familiarity with cloud-based platforms such as AWS, GCP, or Azure.

whats on offer
This is a 6 months contract role for a Senior Data Engineer will pay a salary range of $ 7,000 to $ 9,000 plus perks from the company. This is an opportunity to lead and collaborate with technology for the global enterprise wide of the company.

To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942)

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

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

Summary

Come join an exciting team in a growing industry! We are seeking a highly skilled and detail-oriented Electronic Data Interchange (EDI) Specialist to join our team. The ideal candidate will have a strong understanding of EDI processes and standards, ensuring seamless communication and data exchange between our organization and external partners. The EDI Specialist will play a crucial role in optimizing data workflows, troubleshooting EDI issues, and implementing improvements to enhance overall efficiency.

Essential Duties and Responsibilities – include the following. Other duties may be assigned.

Go-to-Market Strategies, Customer Advisory, and System Integration:

• Contribute to the development and implementation of go-to-market strategies for EDI solutions to increase market presence and utilization rates.
• Collaborate with sales and marketing teams to develop targeted campaigns that highlight the value of EDI solutions for existing and potential customers.
• Provide support and advisory services to customers regarding the benefits and usage of EDI solutions.
• Work closely with customers to understand their requirements and develop tailored solutions that align with their business processes.
• Create and use evaluations and reports on the utilization and effectiveness of EDI solutions.
• Analyze usage data to identify trends and provide recommendations for optimizing the EDI strategy.
• Collaborate closely with IT teams to integrate EDI processes into existing systems and applications, promoting seamless data exchange and minimizing errors.
• Support and optimize existing EDI connections in close coordination with customers and service providers, considering internal interfaces and processes.

EDI Implementation:

• Collaborate with internal teams and external partners to implement and maintain EDI solutions, ensuring compliance with industry standards and business requirements.
• As a LAPP EDI specialist and member of the Global HQ´s Digital Sales Team, you will implement EDI integration projects with our customers and LAPP subsidiaries worldwide to further expand the EDI sales channel successfully.
• Initiation, global coordination, and joint implementation with the SAP team regarding necessary SAP enhancements (IT demands, requirements, and dependencies) for an excellent internal and external EDI customer experience

System Integration:

• Work closely with IT teams to integrate EDI processes with existing systems and applications, fostering streamlined data exchange and minimizing errors
• You will support and optimize existing EDI connections in close coordination with customers and service providers, taking into account internal interfaces and processes.

Testing and Validation:

Conduct thorough testing of EDI processes to identify and resolve issues, ensuring data accuracy and compliance with standards. Perform validation checks to verify successful data transmission.

Issue Resolution:

• Investigate and troubleshoot EDI-related issues, collaborating with cross-functional teams to address and resolve issues promptly. Implement preventive measures to minimize future problems.
• You will analyze individual customer requirements and create concepts for tailor-made solutions in close coordination with our external EDI provider, our LAPP IT and the SAP S/4 HANA key users.
• Together with your HQ´s team members from the "Customer Success" and "Project Implementation" team, you will ensure the successful implementation of complex requirements.

Documentation:

• Create and maintain comprehensive documentation for EDI processes, configurations, and workflows.
• Provide training and support to internal staff regarding EDI usage and best practices.
• Robust and global EDI multi-project management including the development of a future global documentation standard for connectivity projects.

Communication:

• Foster effective communication with external partners, vendors, and internal stakeholders to facilitate smooth EDI transactions. Serve as a point of contact for EDI-related inquiries.
• Through your feedback to the EDI business process owners and project managers, you will actively contribute to the further development of our integration services and actively shape LAPP's digital sales roadmap.

Competencies

• Demonstrates excellent interpersonal skills through professional communication, strong work ethic, and positive attitude.
• Must have the ability to manage many and changing priorities simultaneously while meeting critical business commitments.
• Demonstrates attention to detail and accuracy in all aspects of work.
• Strong project management skills – able to develop workable implementation plans and prioritize work activities to develop and deliver stated goals on time and on budget.Self-starter who possesses the ability to work independently with minimal direct supervision in an organized fashion.
• Ability to think strategically, creatively, adapt well to change, and has a “get the job done” attitude.
• Upholds organizational values and demonstrates a working knowledge of company policies and procedures.

Qualifications and Education Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Bachelor's degree in Information Technology, Computer Science, related field, or equivalent working experience.
• 3+ years proven experience as an EDI Specialist or in a similar role.
• Proficient in EDI standards such as AS2, ANSI X12, EDIFACT, and others.
• Strong understanding of data mapping, translation, and integration.
• Working knowledge of SAP ERP system and integration methodologies.
• Excellent technical, problem-solving, project management, and analytical skills.
• Detail-oriented with a focus on accuracy and data integrity.
• Effective communication and interpersonal skills.
• Ability to work independently and collaboratively in a team environment.
• Growth mindset – sense for trends and how existing processes can be expanded and further developed.
• Intercultural experience with global customers and colleagues
• Desirable: experience in vendor and contract management for (global) EDI service providers

Language Skills

• Demonstrates excellent oral and written communication skills in the English language.
• Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations.
• Effective in gathering and analyzing disparate data elements as well as presenting information and responding to inquiries from groups of peers, managers, customers, and global colleagues.

Computer Skills

• Experience with EDI software and tools.
• Expert knowledge of Microsoft Office Suites
• Extensive experience working with SAP ERP systems.
• Experience with Compacer and/or SPS Commerce a plus

Travel Requirements

Travel may be required up to 20%.

About Us

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

Why Join Us

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

Responsibilities:

1. Cooperate closely with Product Managers and provide actionable insights to drive SEA business growth, and improvement of operational efficiency.
2. Leverage data analysis expertise to design data solutions to solve commerce product problems such as supply growth, seller growth and marketplace efficiency etc.
3. Design and conduct A/B testing experiments to estimate the new product feature launch, to help evaluate the ROI efficiency.
4. Provide in-depth analysis with localized suggestions for improvements to align with business goals.
5. Build and improve data infrastructure such as dashboards and self-serve analytics tools to improve efficiency and support decision-making.

Qualifications

Minimum Qualifications

1. At least 3 years of working experience in data analytics, with a Mater's degree or above.
2. Proficient in SQL, Python or R, and expertise in A/B testing experiment design is required.
3. Familiar with the product design process, and experience as partner to Product Managers is highly preferred.
4. To succeed in the role, you need to be a proactive, self-driven and impact-driven person.

Preferred Qualifications

1. Able to work with cross-functional teams in a fast-paced environment.

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

Role: Software Consultant

Experience: 10+ Years

Technical Skills:

ETL Tools : Informatica Power Center 9.1/10.5, IBM WebSphere DataStage 8.0.1/9.1.2PX

Programming Languages : SQL, PL/SQL

Big Data Tools : HDFS, Hive, Hue, Sqoop, Spark

Operating Systems : Windows, UNIX, Linux

Scripting Languages : UNIX, Shell Scripting

Databases : Oracle, Netezza, AS400

Decisioning and Analytics Tools : CMDS, SDS

Tools : BMC Remedy, Control-M, JIRA, Aldon, DevOps (CI/CD), SQL Developer, Toad

Key Responsibilities:

• Participate in end-to-end projects for system implementation of MLS system

• Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security, and control standards

• Liaise with application teams across group and countries build the enhancements according to the technical solution plan

• Coordinate with Technology Delivery Manager and System Analyst to plan technical deliverables and schedule, perform design and development works to meet project requirements, and produce technical documents

• Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

• Perform data profiling, cleansing, transformation and validation to ensure data quality and integrity throughout the shell scripts and ETL pipelines

• Test, maintain and recommend software improvements to ensure strong functionality and optimization

• Create and maintain technical documentation, including ETL specifications, data mappings, data dictionary, process workflows, data ownership and error handling procedures

• Implement project change request and in accordance with deployment schedule

• Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing with quality result

• Facilitate and provide technical and testing support before and after production deployment

• Collaborate with cross-functional teams, such as data scientists, analysts, and business users, to understand their data requirements and provide support as needed

• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform sanity testing and unit testing

• Liaise with other units across IT and Business in the organization

• Manage external vendors for project delivery within schedule,

· Analyzing the impact for the existing models

· Analyzing business functions and process descriptions

· Product and application mappings creation

· Migration and Conversion of Citi history data to existing UOB data marts using ETL tools.

Generating Reconciliation reports

Key Requirements:

Must Have

• Bachelor's degree in computer science, information technology, or a related field

• At least 8 years of experience and knowledge in Control M, Unix Shell Scripting, and SQL

• At least 8 years of experience and knowledge in deployment process, create, manage and maintain CICD from source code repository, version control, code merge to deployment and housekeeping

• At least 6 years of experience in Hadoop, Hive, Hbase, HDFS and Data Engineering

• Experience in Bitbucket, Git, Jenkins, Artifactory and Aldon

• Experience in JIRA, Remedy and Incident Ticket management

• Ability to multitask effectively and handle large amounts of data

• Highly driven, pro-active and a strong team player

• Excellent interpersonal skills and written and verbal communication skills in English

Good to Have

• Experience in , Java, NoSQL

• Experience in System Interfaces (SFTP, FTP, Connect Direct, API, Rest)

• Experience in Confluence and SharePoint

Role & Requirement:

• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Finance domain knowledge.
• Problem solving and logical thinking.

SKILLS: Oracle, PlSQL, UAT, SQL, DATA ANALYSIS,

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

Are you passionate about designing innovative data solutions that align with business strategies and drive organizational transformation? We are seeking a seasoned Data Solutions Architect to lead the design, development, and implementation of enterprise data strategies and architectures. If you have extensive experience in data engagements and a strong background in banking domains, we’d love to hear from you.

Architecture and Strategy

• Understand existing landscapes, client capabilities, and requirements to design scalable, high-performance, and reliable data solutions.

• Develop enterprise data strategies aligned with business objectives, including data roadmaps and transformation projects.

• Design and implement various data architecture models, including data warehouse, integration, and business information models.

• Provide strategic guidance, roadmaps, and detailed implementation plans for data solutions.

Leadership and Development

• Lead cross-functional teams to design and develop data solutions as per proposed architectures.

• Act as the primary point of contact for architecture design and development queries.

• Identify and adopt new technologies and methodologies to enhance performance, automation, and scalability.

Business Development Support

• Collaborate with the sales team to shape and design solution architectures for proposals.

• Participate in client meetings, addressing technical and strategic concerns.

Governance and Compliance

• Define and implement data governance frameworks, including assessments, roadmaps, and execution plans.

• Ensure compliance with analytical, regulatory, and compliance reporting requirements.

Experience and Qualifications

Primary Skills

• 15+ years of experience in data engagements, including leading data strategies, roadmaps, and implementations.

• Expertise in data architecture methodologies, including enterprise data strategy, data models (ER, star schema, normalized/denormalized), and lifecycle management.

• Proven banking domain knowledge and experience with regulatory compliance and reporting.

• Strong experience in data migration strategies, including planning, costing, and execution.

• Master Data Management expertise, with tools such as Informatica MDM, Stibo PIM, Talend Data Fabric.

Technical Proficiencies

• Data and Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin.

• Databases: PostgreSQL, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake.

• Programming and Scripting: SQL, PL/SQL, NoSQL, Shell scripting, T-SQL, DAX.

• Design Methodologies: Inmon and Kimball methodologies, hierarchical models.

• Cloud and Web Tools: Amazon AWS, WordPress, Google Analytics/GTM.

Additional Skills

• Familiarity with TOGAF for architecture frameworks and DAMA-DMBOK for data management.

• Experience in tools like MS Project, JIRA, and rLean for management.

WHAT YOU’LL LOVE ABOUT WORKING HERE

• We promote Diversity & Inclusion as we believe diversity of thought fuels excellence and innovation.

• In Capgemini, you are the architect of your career growth. We equip people in maximizing their full potential by providing wide array of career growth programs that empower them to get the future they want.

• Capgemini fosters impactful experiences for its people that would aid in bringing out the best in them for them, for the company, and for their clients.

Disclaimer:

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities, Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity. Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

ABOUT CAPGEMINI

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want | www.capgemini.com

Job Summary

We are seeking for a self-motivated Data Analyst to work on projects within data management team for a renowned bank.

Mandatory Skill-set

• Degree in Business Computing, Computer Science, or equivalent;
• 1-2 years of experience in data analysis in banking industry;
• Proficient in SQL and Microsoft Office;
• Experience in liaising with IT and business stakeholders;
• Maintain strong analytical, problem-solving, and communicating skills;
• Develop and perform SIT/UAT test cases for data quality rules;
• Self-motivated, resourceful, and possess exquisite time management skills.

Desired Skill-set

• Knowledge in Data Warehousing, BI tools (Power BI, Tableau), Big Data platforms (Python, R);
• Familiar with Metadata tools.

Responsibilities

• Involved in data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation;
• Responsible for gathering/documenting business requirements and functional specifications on data related initiatives;
• Provide end-to-end project delivery support, including requirements walkthrough, user acceptance testing;
• Execute data analysis and data investigation;
• Conduct end-to-end User Acceptance Test (UAT) process;
• Manage business glossary and dashboards for review and analytical purposes;
• Assist the entire project implementations.

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

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

Are you passionate about crafting innovative data solutions that drive impactful business decisions? Join our team as a Data Scientist in Big Data and contribute to building cutting-edge platforms that process and analyze vast datasets with efficiency and scalability.

In this role, you will play a key role in:

• Design and Development: Architect and implement robust data pipelines and ETL processes to ensure data quality, accuracy, and integrity.

• Big Data Expertise: Leverage technologies like Apache Spark, Hadoop, and Kafka to process large datasets, optimize pipelines, and deliver high-performance solutions.

• Data Infrastructure: Develop and maintain scalable data warehouse structures, including schema design and indexing strategies, to support evolving business requirements.

• System Scalability: Design and implement highly scalable software architectures that accommodate increasing user loads while ensuring system reliability.

• Data Security: Collaborate with security teams to implement data security measures, ensuring compliance with regulatory standards and maintaining privacy protocols.

• Collaboration and Leadership: Work with cross-functional teams to translate business needs into technical requirements and mentor junior engineers to foster team growth and innovation.

• Automation: Streamline data flow across systems by building automated scheduling and monitoring mechanisms for optimal performance.

YOUR PROFILE

• 1–3 years of hands-on experience in:

Ø Big Data Technologies: Apache Spark, Hadoop, Kafka.

Ø Programming Languages: Python, Scala, Java, SQL, and Shell scripting.

Ø Cloud Technologies: AWS and Kubernetes.

Ø Data Warehousing: Hive, Impala, Sqoop.

• Proven experience designing and maintaining automated, large-scale data pipelines.

• Demonstrated success in system troubleshooting, performance tuning, and distributed system optimization.

Preferred Skills

• Experience with containerization tools like Docker.

• Familiarity with version control systems (e.g., Git) and frameworks like Spring Boot.

• Knowledge of cloud-native solutions and cloud migration best practices.

Core Competencies

• Data Architecture & ETL Development: Expertise in creating efficient data solutions.

• Big Data Leadership: Strong skills in distributed systems and performance tuning.

• Collaboration: Ability to work effectively with diverse teams to deliver business value.

• Continuous Learning: Commitment to staying current with industry trends and innovations.

WHAT YOU’LL LOVE ABOUT WORKING HERE

• We promote Diversity & Inclusion as we believe diversity of thought fuels excellence and innovation.

• In Capgemini, you are the architect of your career growth. We equip people in maximizing their full potential by providing wide array of career growth programs that empower them to get the future they want.

• Capgemini fosters impactful experiences for its people that would aid in bringing out the best in them for them, for the company, and for their clients.

Disclaimer:

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities, Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity. Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

ABOUT CAPGEMINI

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want | www.capgemini.com

• Good communication and problem-solving skills
• Candidates with minimum of 2 years? experience, working as DC operator.
• Excellent interpersonal skills
• Dedicated as well as hard working individual with the intercommunication skills to work at all the level of organization.
• Possess an in-depth knowledge of data center infrastructure technology and components for installation.
• Working knowledge of DC M&E for operation.
• Vendor management.
• Extensive knowledge garnered working as a Data Center Operator
• Thorough knowledge of Data Center Operations with strong knowledge of Operations methodology.
• Experience in eye-ball checking of system faults and failures
• Good technical knowledge on Data Centre monitoring tools.
• Strong written and excellent communication skills.
• People ready to work in 12 hour shift patterns.

Job Description: Big Data Support Engineer – Batch Monitoring (Junior Role)

Experience Requirements:

• 1-3 years of IT experience.
• Minimum 1-3 years of hands-on experience with Hadoop and Kubernetes (K8s) ecosystems.
• At least 1-3 years of relevant experience in the banking/financial services industry.

Skills and Qualifications:

• Demonstrable analytical skills with in-depth knowledge of the Big Data ecosystem in a production support environment.
• Hands-on experience with Hadoop toolsets including Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, and Streaming applications.
• Strong knowledge of SQL, Python, Java, and Unix shell scripting.
• Incident, problem, and service outage management experience is a plus.
• Excellent communication and articulation skills.

Roles and Responsibilities:

1. Batch Monitoring and Operational Support:
   • Provide operational support to ensure the Service Level Indicators (SLI) of applications are met.
   • Troubleshoot and resolve batch issues and identify root causes to minimize SLA impacts.
   • Proactively identify opportunities for preventive maintenance to enhance system reliability.
2. Performance Optimization:
   • Perform administration and optimization to achieve optimal system performance.
   • Conduct reviews of technical and functional solutions from enhancement/project teams to ensure alignment with established standards.
   • Recommend design and operational optimizations for continuous improvement.
3. Collaboration and Stakeholder Communication:
   • Work closely with diverse teams, including tech infrastructure, application services, and business units, to ensure seamless operations.
   • Provide timely updates on status, progress, issues, and resolutions to business stakeholders.
   • Respond promptly to queries raised by various business units.
4. Data Engineering and Pipeline Management:
   • Build and optimize big data pipelines, architectures, and data sets.
   • Support data transformation processes, metadatamanagement, dependency tracking, and workload management.
   • Work on unstructured datasets and perform root cause analysis to identify opportunities for process improvement.
5. Incident Management and Disaster Recovery:
   • Participate in disaster recovery and business continuity exercises.
   • Support software, platform, and database upgrades for systems.
6. Kubernetes and Streaming Applications Support:
   • Provide support for data APIs and data science/machine learning applications running on Kubernetes platforms.
   • Troubleshoot core Java, Python, and Scala Spark batch, API, and streaming applications.

Preferred Experience:

• Experience with message queuing, stream processing, and scalable big data stores.
• Exposure to ledger balance reporting and GL datareconciliation between systems, datamarts, and reports.
• Knowledge of Teradata FSLDM and performance tuning on MPP data pipelines (e.g., Teradata).

This position is ideal for candidates with a strong foundation in BigData support and batch monitoring, excellent problem-solving skills, and the ability to collaborate effectively in dynamic environments, particularly within the banking/financial services industry

Job Title: Data Security Specialist
Location: Singapore

About Us

We are a fast-growing IT technology startup that thrives on innovation and agility. We specialize in delivering cutting-edge solutions that empower businesses to harness the power of technology. We are seeking a highly skilled and detail-oriented Data Security Specialist to join our team. The ideal candidate will be responsible for safeguarding our organization’s data and ensuring its integrity, confidentiality, and availability. The Data Security Specialist will work closely with IT teams and other departments to design, implement, and manage security measures that protect sensitive information from unauthorized access, breaches, and threats.

Key Responsibilities

1. Develop Data Security Strategies

· Design, implement, and maintain data security policies and standards in compliance with international and Singapore-specific regulations (e.g., PDPA).

· Establish encryption protocols, access controls, and audit logging mechanisms to ensure the confidentiality, integrity, and availability of sensitive data.

2. Build Security Systems

· Design secure architectures for internal systems and cloud environments to protect against threats like DDoS attacks and data breaches.

· Manage compliance processes for certifications such as ISO 27001 and SOC 2.

3. Threat Management

· Conduct risk assessments, vulnerability scans, and penetration testing to identify and address potential security gaps.

· Monitor network traffic, logs, and event data to respond to and resolve security incidents promptly.

4. Training and Awareness

· Conduct security training sessions for internal teams to raise awareness about best practices.

· Create and maintain security-related documentation and guidelines.

5. Technical Collaboration and Support

· Collaborate with cloud architects and development teams to ensure security is embedded in system designs.

· Evaluate and integrate third-party security tools (e.g., SIEM, IAM).

Qualifications

• Bachelor’s or Master’s degree in Information Security, Computer Science, or a related field.
• At least 3 years of experience in data or network security roles.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their security features.
• Expertise in encryption algorithms (e.g., AES, RSA) and security protocols (e.g., SSL/TLS).
• Proficiency in SIEM tools (e.g., Splunk, QRadar), firewalls, WAFs, and IDS/IPS systems.
• Hands-on experience with risk assessment and penetration testing.
• Certifications (Preferred): CISSP, CISM, CEH, CCSP.
• Soft Skills: Excellent communication skills, with the ability to drive security practices across cross-functional teams.

Key Competencies

• Strong problem-solving skills with a startup mindset.
• Excellent communication and collaboration abilities.
• Ability to adapt to a fast-paced and evolving environment.

About Us

Established in 1972, Guardian Health & Beauty is Singapore’s Number 1 Health and Beauty retailer. With more than 126 stores nation-wide, it retails a comprehensive range of health & beauty products. Guardian has evolved from its pharmacy roots to a holistic one-stop solution for customers’ health and beauty needs. It continues to expand its products and service range to meet the redefinition of beauty by today’s customers – where health meets beauty.

With a strong health heritage, it has the largest network of award-winning pharmacists and a wide selection of health products. Professional services such as patient-care counselling, dispensary services, beauty and personal care solutions are offered at stores as a convenient one-stop for health and beauty. Guardian also operates its online store with more than 9,000 products available and offers the “Click & Collect” services. For more information, please visit www.guardian.com.sg. Follow Guardian Health & Beauty on Facebook, Instagram, Telegram, Youtube and TikTok.

Guardian Health & Beauty is a Progressive Wage (PW) mark accredited company.

The Role

The incumbent will report to the Trade Planning Manager in the Commercial department and will support the master data team by ensuring the accuracy of data set up in promotions management.

Responsibilities

• Database Maintenance
  Ensure timely and accurate maintenance of price and promotion data in the SAP database.
• Promotions Management
  Oversee the accurate and timely setup of promotions. Collaborate closely with the category team and Group Business Admin to ensure claims are properly set up.
• Other Responsibilities
  Prepare reports while ensuring the accuracy and integrity of data.
  Perform ad-hoc duties as assigned.

Requirements

• Diploma in Business Administration or a related field
• 1-2 years of relevant work experience
• Proficiency in MS Excel (Vlookup & Pivot table)
• Strong sense of urgency and ability to meet tight deadlines
• Effective communication skills
• Meticulous with the ability to manage large volumes of data

Benefits

• Team Member Discount
• Subsidized Medical and Dental Benefits
• Training Opportunities
• Career Advancement

Location : Tampines North

Our Client:

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

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

Responsibilities:

• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Frontend Developers, UX Designers and Data
• Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Bridge the gap between engineering and analytics.
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Work closely with fellow developers through pair programming and code review process

Requirements:

• 3+ years of experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation
• Proficient in general data cleaning and transformation (e.g. pandas, pysparks, SQL)
• Knowledge in database design and various databases (e.g. structured dbase(postgres, mysql etc and unstructured -mongodb etc)
• Knowledge about system design, data structure and algorithms
• Knowledge with rest api and web requests/protocols in general
• Comfortable coding in at least 2 scripting language (eg. Python/SQL)
• Comfortable working in both windows and linux development environments
• Interest in data engineering in a big data environment using Cloud platforms (i.e. AWS, Azure, Google Cloud)
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse.

www.dadaconsultants.com

EA Registration Number: R21103926

Data provided is for recruitment purposes only

Business Registration Number: 201735941W

Licence Number: 18S9037

Our client is actively searching for a Data Analyst/ Senior Data Analyst to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

As a Data Analyst/Engineer, you will be responsible for creating user-friendly applications that will be able to launch Machine Learning (ML) models and trigger automation solutions. You will need to work closely with cross-functional team of data scientists, engineers, business stakeholders and IT team to support patient care and improve health services delivery.

The responsibilities of this role are:

• Lead in the gathering of requirements by working and coordinating with clinicians and business stakeholders.
• Translate business requirements into system and architecture design of applications.
• Work with cross-functional teams to successfully develop and deploy automation solutions (including ML Model), ensuring timelines and quality standards are met.
• Work with the IT/data management team to design, architect and maintain the required data inflow and outflow.
• Liaise with analytics platform and clinical system custodians for model deployment and workflow integration.
• Communicate effectively with stakeholders about progress, challenges, and outcomes, translating complex technical concepts into understandable terms.
• Drive continuous improvement model performance and facilitating adoption.
• Create and maintain proper project documentations.
• Perform de-identification and encryption for department managed datasets according to data management guideline.
• Take accountability in considering compliance to policies, guidelines and regulations and take appropriate steps to mitigate the risks.
• Provide prompt feedback to supervisor in anticipation of work-related problems.
• Perform general administrative duties as required.
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department.

The ideal candidate will need to have the following qualities and experience:

• Minimum Bachelor's degree in Computer Engineering, Software Engineering or equivalent with at least two (2) years of experience.
• Proficient in programming languages such as Python (e.g., Flask, Django), R (e.g., Shiny), SQL.
• Experience in managing AI/ML products is highly desirable.
• Experience in SharePoint, Excel (Visual Basic), HTML, XML, Java preferred.
• Knowledge in Data anonymization, de-identification and re-identification process and techniques is preferred.
• Possess skills in statistical modeling and machine learning with experience in data storage, processing, analytics and distribution software and platforms.
• Strong communication/people skills required to interact with data scientists, engineers, business end-users and vendors to design and develop solutions.
• Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
• Participate actively as a team member in organizational development and quality improvement.
• Be a change agent and inculcate mindset for change for hospital-wide and departmental- level.
• Able to work beyond routine work responsibilities and office hours, in the exigencies of services e.g., during infectious disease outbreaks.

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

Overview / Brief

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

Job Description

The candidate should possess the following: At least (2) years of hands-on experience as Azure Data Engineer using:

Azure Data Factory Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate

At least (3) years of hands-on experience in

- Performing data Ingestion using Data factory T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

- At least (3) years of hands-on experience in

- Providing technical support (80%) enhancements (20%) for existing applications in Azure

(Team has several ongoing projects on the Azure platform, including Finance, Commercials, and Operations. This role requires a support engineer primarily focused on existing projects and understanding the teams dynamics. The role requires someone capable of directly addressing system issues and resolving them. Users report issues, such as error messages and screenshots etc. The data engineer needs to log into the production system, trace processes end-to-end, identify the root cause, and resolve the problem. The engineer is expected to verify the accuracy of data and processes, ensuring correct numbers and outputs.)

Good to have following skills

Knowledge of Azure Databricks

Data modelling in Azure Analysis Services using star and snowflake schema.

Knowledge of writing DAX query to create measures dimensions.

Python Coding Experience

Non-Technical Skills Requirements (Business Skills) At least (3) years of relevant experience in:

Business Requirement Analysis.

EA Number: 11C4879

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

Key Responsibilities:

• Data Analysis: Collect, process, and analyze large datasets to uncover trends, patterns, and insights
• Reporting and Visualization: Create engaging dashboards and reports using tools like Power BI, Tableau, or Excel to support key business decisions
• Collaborative Problem-Solving: Work closely with cross-functional teams to identify challenges and present data-driven solutions
• Predictive Modelling: Apply statistical models and machine learning techniques to forecast trends and behaviors
• Data Quality Assurance: Ensure accuracy, consistency, and reliability of data through effective validation processes
• Business Insights Delivery: Translate complex data into simple, actionable recommendations for stakeholders
• Technology Adoption: Stay updated on the latest data analysis tools and methodologies to enhance our processes
• Innovation and Growth: Contribute fresh ideas to improve data systems and processes, fostering a culture of continuous improvement
• Stakeholder Engagement: Present findings and insights to internal and external stakeholders effectively
• Professional Development: Participate in training and mentorship programs to advance your technical and analytical skills

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with a keen attention to detail
• Excellent communication skills to convey complex information effectively

EA Reg. Number: R21100629

EA License Number: 22C1278

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

WHO WE ARE

Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals.

Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world.

We are committed to growing our distinctive Culture and holding to our core values which always place our client's interests first. These values are reflected in our Business Principles, which emphasize integrity, commitment to excellence, innovation and teamwork.

UNIQUE OPPORTUNITY

We are building out our Singapore Data Engineering team, this is a unique opportunity to be part of a global Tier 1 Investment Bank. You will be a part of industry leading community spanning New York, Dallas, Sydney and Bangalore.

TEAM OVERVIEW

Market Data provides critical input for all trading decisions that take place at Goldman Sachs. The Market Data Engineering team is responsible for the consumption and timely, accurate distribution of all real-time and historical data provided by global stock exchanges, brokers and data vendors including Bloomberg and LSEG (Refinitiv).

Our core service provides the firm with high volume of real-time streaming data that is globally accessible. It has high availability, is highly scalable with single digit millisecond latency SLAs for the most sensitive clients. This is engineered with a ticker plant that consists of hundreds of nodes, thousands of application instances, thousands of consumers, and updates peaks of millions of messages per second.

We are a dynamic, entrepreneurial team with a passion for technology. We look for engineers, with a growth mindset who are driven to automate and improve. Essential Skills include solid Network and OS (Linux) fundamentals, SDLC experience (e.g. scripting, coding, git, svn) and the role would be a good fit for someone who feels they would thrive in a fast-paced, changing environment.

HOW WILL YOU FULFILL YOUR POTENTIAL

• Work with open-source, vendor and internally built software where appropriate.
• Design, engineer, deploy, troubleshoot, patch and fix software and infrastructure while innovating on core platform design and architecture.
• Engage with global team to establish and evolve best practice for operational excellence including availability, scalability, reliability, resiliency and performance.
• Solve problems in order of business value and understand that technical and business perfection are often competing goals.
• Engage with vendors, exchanges and internal businesses on impact and delivery of upcoming changes.
• Gather and analyze metrics from both infrastructure and applications to assist in performance tuning and fault finding.
• Positively contribute to continuous technical development of the team, including technical engineering documentation.
• Deliver complex, business critical infrastructure projects.

BASIC QUALIFICATIONS

• 3+ years of experience as DevOps Engineer, SRE, System Admin or equivalent role, with a desire to learn more.
• Ability to code or script (e.g. bash/python/go) using an SLDC environment (e.g. gitlab CI/CD).
• Familiarity with Infrastructure as Code processes and tooling.
• Strong understanding of Network and OS Linux fundamentals.
• An understanding of the operational concerns in a demanding environment; ideally, but not necessarily, capital markets.
• Resilient under pressure, have a mind-set of continuous improvement and desire to provide excellent service.
• Proactive approach to spotting problems, areas for improvement, performance bottlenecks, etc.
• Live service monitoring, logging, intelligent alerting, self-healing (network, server and application).
• Maintain live services by measuring and monitoring availability, latency and overall system health.
• Ability to adapt and be open-minded, without skimping on our core values and standards.
• Driven to eliminate toil by designing/adopting better tools and automation techniques.

PREFERRED QUALIFICATIONS

• Financial markets/ trading business knowledge.
• Knowledge of market data products eg. Refinitiv (TREP), Exegy, Activ Financial, BPIPE, ITRS.
• Experience with large scale/ high frequency/low latency distributed applications.
• Experience or knowledge of containerization and cloud deploy (e.g. in AWS or GCP).

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2024. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Working Hours

First 2 months: Mon - Fri: 830am - 530pm

Subsequently on shift basis

AM Shift: 7am – 3.30pm

PM Shift: 2.30pm – 11pm

(Alternate weeks, 1 week AM the following week is PM)

Responsibilities:

• Qualify for and perform routine validated test methodologies on finished products, special projects or specified testing as directed in accordance to Standard Operating Procedures (SOPs)
• Assist to mix in raw ingradients to drums for machine mixing
• Load drums onto trolley for transporting
• Conduct all assigned work in compliance with our organization’s safety and quality requirements
• Get direction from Team Leader on work assignments
• Replenish and track inventory
• Maintain equipment records
• Perform daily housekeeping and routine basic equipment maintenance
• Communicate immediately any product testing deviation, failures/issues, or any other laboratory anomalies directly to Team Leader

Requirements:

• NITEC/Higher NITEC in any discipline
• Preferably in Chemical Process Technology
• Prior Internship / Experience in similar industry or role is an added advantage!
• Okay with carry loads up to 20kg if needed
• No related exp needed, training provided!
• Able to commit min 6mths
  

Interested applicants, please email your updated CV to [email protected] or WA 97527630 for more information.

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

EA Personnel No: R23116144

EA Personnel Name: Lim Ruo Yi, Rachel

Company Registration Number: Recruit Express Pte Ltd (99C4599)

Salary: up to $2000

Duration: 6 months contract

Working Days & Hours: Mon-Fri Office Hours

Location: Bukit Merah

Job Description:

• Handle day-to-day refund functions including to execute timely refunds to customers and ensuring the accuracy of refund requests.
• Perform bank reconciliation and relevant monthly postings for financial accuracy.
• Ensure timely closure of GL accounts within timeline.
• Liaise with patients/ customer to address and resolve refund-related matters effectively.
• Work closely with Institution's Business Office on refund matters.
• Any other ad-hoc duties assigned.

Job Requirements: Min GCE A Level

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:

• Conducts activities of equipment power supply and control in order to assure the proper functioning of the plant. Moves raw material and process solvents received by Production Warehouse personnel
• Loads production equipment and conducts activities aimed to put instruments, services and plant in the right conditions to perform in the planned condition required by Manufacturing Formulas, operating procedures or Shift Manager dispositions
• Documents all the activities executed or to be executed signing and dating the official production documentation.
• Communicates and collaborates Shift Manager / Production Support for all the operations to be executed, in solving any anomalies occurred and suggesting possible solutions
• During the shift controls that the work progress in line with scheduling. Assures registration of SIC ( Short Interval Control) data which contributes to the control program DWOR ( Daily Weekly Operating Report)
• Maintains a high level of cleaning in the working area dedicating parts of the working hours to housekeeping operations of the department areas and equipment following the indication of the Shift Manager/Production Control
• Any other general administrative duties/ad-hoc projects as assigned by immediate supervisor.

Requirements

• Min NITEC / Diploma in Chemical Engineering / Chemical process tech
• No exp needed, training provided
  

Interested applicants, please email your updated CV to [email protected] or WA 97527630 for more information.

EA Personnel No: R23116144

EA Personnel Name: Lim Ruo Yi, Rachel

Company Registration Number: Recruit Express Pte Ltd (99C4599)