We are a leading company in Singapore, specializing in engaging directly with various companies to market various products and services to the consumers.

With talks of expansion plans, we are looking for the most outstanding candidate to represent the clients we work partner with, providing fitting solutions to meet specific requirements and drive results.

We are looking for people who will “walk the talk”. There is no such thing as a mundane routine here! Be prepared for an unparalleled environment!

Why choose us?

1. Career Development

Why Join Us?

At Euphoria Organisation, teamwork drives our success. Our collaborative environment, regular team bonding sessions, and personal development workshops help you grow both professionally and personally. Think of us as your stepping stone to becoming a future business leader while mastering marketing and sales.

Qualifications

• Strong communication skills
• Open-minded with a willingness to learn
• Results-oriented mindset with a proven ability to meet targets

Responsibilities

• Promote clients' products and services to potential customers
• Develop and execute sales strategies to drive growth
• Participate in successful execution of events marketing campaigns

Benefits

• 1-on-1 mentorship and training
• Ongoing professional development and travel opportunities
• Fun, team-oriented environment with regular bonding activities
• Competitive, performance-based incentives

If you're ready to build your own team and write your success story, join us today!

We’re looking for a motivated leader with a growth mindset and a passion for driving success. You’ll be responsible for creating a strong vision for our front of house, taking ownership of strategies that support the business's expansion and success. This role requires emotional intelligence, relationship-building skills, grit, attention to detail, and energy.

Responsibilities:

• Master Lead Generation: Implement strategies to exceed customer acquisition targets.
• Build Brand Knowledge: Complete comprehensive training to become an expert in our products and marketing approach.
• Drive Engagement: Represent our brand in face-to-face marketing and customer acquisition.
• Amplify Brand Presence: Plan and manage events to boost brand awareness.

Why Join Us?

• Fast-Track Career Growth: Take advantage of abundant advancement opportunities as you grow into leadership roles.
• Travel Opportunities: Experience regional and international travel as part of our team.
• One-on-One Mentorship: Learn from top leaders who are invested in your success.
• Hands-On Training: Get all the support you need to thrive in the marketing industry.

Why Us?
We partner with top multinationals to drive market growth, and our culture is all about excellence and empowering future leaders.

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

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

You will be part of the team responsible for the operational support of Authority's Service Desk and expected to work independently. Your primary responsibility is to ensure system functionality, availability, data security, and compliance with industry standard.

Be Part of Our Success

• Providing level 1 technical support and respond to user inquiries via phone, email and ticketing system.
• Hardware – installation, maintenance and trouble-shooting.
• Diagnose and resolve hardware and software issues for end-users.
• Escalate complex issues to higher-level support teams as necessary.
• Maintain and update service desk documentation and knowledge base articles.
• Proactively identify and manage potential problems
• Conducting regular checks to ensure all endpoints are patched to the latest version.
• Conducting regular checks to ensure all endpoints and communication devices in meeting rooms are working properly.
• Collaborate with other IT team members on projects and initiatives.
• Provide training and guidance to end-users on IT systems and software.

Qualities We Value

• Minimum 1 year of experience in a technical support or service desk role.
• Strong understanding of computer systems, communication devices such as skype and video conferencing technology and other tech products.
• Proven track record of excellent problem-solving skills.
• Effective communication skills, both written and spoken.
• Ability to work independently and as part of a team.
• ITIL certification is a plus

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

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

• 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)

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

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 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

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 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.

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

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