Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

Bloomberg runs on data. Our products are fuelled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Global Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team:

Our Listed Derivatives data team seeks a Data Analyst to help us drive the data set forward. The team provides our users with complete and accurate, normalized security listings and reference data for tens of millions of securities across more than 100 Derivatives exchanges globally. Cross-functional collaboration, domain expertise, and automation is paramount for our ability to continuously deliver high quality data to our rapidly growing customer base.

What’s the Role?

We are looking for a highly motivated individual with a passion for finance, data, and technology to increase value from our data product. In this role you will design and implement solutions, measure and communicate impact, improve accuracy and timeliness, as well as communicate with clients and stakeholders. You will develop Derivatives specific domain knowledge and apply your impressive array of skills to solve evolving business challenges by devising and implementing intelligent and scalable solutions to improve the coverage and quality of our data offering. You will join a global team of dedicated individuals and experts where your interests and enthusiasm will have a significant impact on the team’s success.

We trust you to:

• Become a subject matter expert within the world of Listed Derivatives
• Support the day-to-day workflow of our team, including launching new instruments, performing corporate actions, and ensuring the quality of our universe of over 25 million tickers
• Provide customer support for users of Bloomberg products such as the Professional Service, News, and Enterprise Solutions
• Acquire, update, and maintain high-quality financial data using internal systems and proprietary company software
• Work with other data and core business groups, such as Product, Sales, Engineering and News to help develop and enhance the product
• Find opportunities to improve efficiency of existing workflows and build automated solutions for data standardization, ETL pipelines, and human-in-the-loop data processing
• Communicate effectively with partners at all stages of a project, from sourcing ideas and determining requirements to explaining methodological decisions and project outcomes

You’ll need to have:

• Bachelor’s degree in Finance, Accounting, Statistics, Business, STEM, or related field/equivalent experience
• Excellent written and verbal communication skills in English
• Demonstrated continuous career growth within an organization
• 4+ years of working experience in data process management areas such as data quality, ETL pipelines
• Experience working with Python or another major programming language, Git, UNIX and SQL
• Experience working in a large organization and creating solutions based on incomplete information at times.
• Experience working in the finance/data management industry

We’d love to see:

• Knowledge of Derivatives instruments and their uses
• Experience in dealing with databases, schemas, JSON files
• Proven track record of using technology to innovate data products and processes
• Experience in customer service or client relationship management

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidate with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorisation.

Job Summary

An exciting opportunity to gain new IT operations experience as a Data Centre Engineer in the banking industry.

Mandatory Skill-set

• At least Diploma in Computer Science or IT;
• At least 1-2 year of experience in Data Centre Facility Management;
• Experience in Data Centre such as storage, servers;
• Experience working on 24*7 Mission Critical environment;
• Strong understanding of incident, problem and change management procedure;
• Good knowledge and experience in IP Network, switches, routers;
• Experience in rack and stack of IT equipment;
• Conversant in Microsoft Office Applications;
• Familiarity with structured cabling system and its related components;
• Proactive, responsible, good work attitude and a team player;
• Good interpersonal communication and documentation skills.

Desired Skill-set

• ITIL Certified;
• Work experience in banking industry.

Responsibilities

• Responsible for overseeing daily operations and administrative tasks within a data center environment;
• Coordinate with data center/building landlords to ensure efficient operation of electricity, HVAC systems, and monitoring environment within critical IT facilities at Mission Critical IT facilities in the Data Center;
• Promptly escalate incidents following standard incident procedures;
• Participate in equipment relocation, replacement, and removal activities;
• Conduct system maintenance and generate regular reports;
• Offer onsite supervision for all critical facility maintenance activities;
• Identify areas for improvement and implement necessary corrective or preventive actions;
• Perform any additional tasks assigned as needed.

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 Purpose

• Responsible for the entire lifecycle of contracts within the organization. This includes drafting, negotiating, reviewing, and finalizing contracts to ensure they align with company policies and legal requirements.
• Oversee compliance with contractual obligations during the execution phase.
• Monitor contract performance, payments, and financial implications. They may be involved in budgeting and forecasting related to contracts.
• Continuous improvement of contract management processes and procedures
• Identify inefficiencies and recommend improvements to streamline operations and reduce costs

Core Responsibilities

• Ensures that the Project contract administration needs, objectives, and requirements are aligned with the Operation team.
• Advises the Operation Team, Procurement Manager, and other stakeholders on any deviations from contract requirements during Project execution.
• Analyzes contract terms to identify potential risks and opportunities related to contract clauses especially financial related matters.
• Proposes alternative contract provisions to mitigate risks and negotiates with customers using persuasive arguments.
• Coordinates with the Operation Team, participates in meetings, reviews drafts, revises, and maintains records of all contractual correspondence exchanged with clients, vendors, subcontractors, and authorities during project execution.
• Assesses supplier/subcontractor claims for entitlement and variation orders according to contract requirements.

Skills & Experience Required

• Proficiency in microsoft office (Especially Power BI)
• Financial modelling and cost management
• Proficient in Power BI and Microsoft Excel for data analytics
• Developing plans and estimating budgets and timescales
• Critical thinker and problem-solving skills

Qualifications/Certifications Required

• Candidate must possess at least a Diploma, or Degree in Business, Economics, Finance, Data Analytics or relevant field.
• Interested in Strategy/ Corporate Development/Business & data analysis or similar function
• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Fresh graduates are welcome to apply

Work Location: Changi Business Park (Near Expo MRT) and Woodlands

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 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.

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

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

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

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

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

Job Description

• Talent headhunting, screen resumes & sharing roles
• Handle Job Onboarding & Contract Signing
• Handle incoming calls to the department & admin work

Requirements:

• Minimum Diploma / Degree in ANY discipline
• Possess good communication skills
• Passion in interacting with people from diverse background
• No prior experience required, training will be provided !!
• Able to start work immediately or on short notice will be advantageous

Interested candidates please send your updated resume in MS Word Format to:

[email protected]

Subject: HR Sales Executive

or call 6736 3280 and ask for Kate

EA Personnel: Kate Leau Wei Xuan (R1552331)

Company Registration No.: 99C4599

Job Summary:

A HR Business Development Trainee’s job is a dynamic role. It not only encompasses business development but also account management, relationship building, recruitment and customer service all rolled into one. It is about understanding people’s needs and motivations, and managing clients’ and candidates’ expectations. It may be a challenging role but a very meaningful one!

Responsibilities

• Business Development: Initiate a range of business development and marketing activities to build new corporate clients and grow your own client portfolio.
• Account Management: Manage internal and external stakeholders and clients on their hiring needs.
• Talent Acquisition: Engage in candidate sourcing activities, such as publishing job advertisements and conducting candidate referrals, to ensure a consistent supply of candidates to meet client's needs.
• Candidate Management: Manage candidates’ job needs and expectations, their payroll and employment benefits.

What do you get to learn?:

• Paired 1 to 1 mentorship according to working style
• Client visit with mentor to gain broader experience and to experience client’s workplace
• Improved communication skills & tactics
• Mapped Progression with the Company

Get to Enjoy:

• Quarterly events and bonding workshops
• Great Team Spirit
• Big and cohesive division
• Comprehensive Training
• Dynamic Working environment
• Exciting Opportunities to develop a rewarding career

Requirements

• Minimum Degree in any field of study.
• Strong interest in marketing and/or business development with good business acumen
• Applicants with good track record in sports or other co-curricular activities in school will have an added advantage
• Possess enthusiasm and most importantly, passion for people
• On the job training provided!

Interested applicants, please email your updated CV to [email protected]

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

EA Personnel No: R21103938

EA Personnel Name: Reina Ng Hwee Min

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

Our client is from Construction industry. Due to their current expansion plan, they are looking for a HR Executive - Recruitment to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Support recruitment activities, including posting job advertisements, candidates screening, and interview arrangement.
• Manage the onboarding and offboarding processes.
• Organize and oversee training and development programs.
• Handle payroll processing.
• Manage applications, renewals, and cancellations of work passes.
• Handle general matters, including updating residential addresses, managing levy waivers, medical check-ups for new hires, etc
• Conduct market surveys for MOM, IRAS, CPF, WDA, and other HR-related studies.
• All other adhoc duties as assigned.

Requirements

• Minimum NITEC in HR Manager/ Business Administration or equivalent.
• Min 2 years relevant experience.

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

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Job Summary:

A HR Trainee’s job is a dynamic role. It not only encompasses recruitment but also business development, account management, marketing, customer service all rolled into one. It is about understanding people’s needs and motivations, and managing clients’ and candidates’ expectations. It is also about building relationships. It may be a challenging role but very meaningful one!

Responsibilities

• Business Development: Initiate a range of business development and marketing activities to build new corporate clients and grow your own client portfolio.
• Account Management: Manage internal and external stakeholders and clients on their hiring needs.
• Talent Acquisition: Engage in candidate sourcing activities, such as publishing job advertisements and conducting candidate referrals, to ensure a consistent supply of candidates to meet client's needs.
• Candidate Management: Manage candidates’ job needs and expectations, their payroll and employment benefits.

What do you get to learn?:

• Paired 1 to 1 mentorship according to working style
• Client visit with mentor to gain broader experience and to experience client’s workplace
• Improved communication skills & tactics
• Mapped Progression with the Company

Get to Enjoy:

• Quarterly events and bonding workshops
• Great Team Spirit
• Big and cohesive division
• Comprehensive Training
• Dynamic Working environment
• Exciting Opportunities to develop a rewarding career

Requirements

• Minimum Degree in any field of study.
• Strong interest in marketing and/or business development with good business acumen
• Applicants with good track record in sports or other co-curricular activities in school will have an added advantage
• Possess enthusiasm and most importantly, passion for people
• On the job training provided!

Interested applicants, please email your updated CV to [email protected]

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

EA Personnel No: R21103938

EA Personnel Name: Reina Ng Hwee Min

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

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Job Details

Location: Maxwell

Working Hours: 5-Days Work Week

Work Type: 5-Month Contract

Salary: Up to $ 2,700 per month

What you will be working on?

• Perform Accounts Payable and Accounts Receivables functions such as processing of supplier payments and invoices and customer invoice issuance, credit notes, aging report and collections
• Process journals - adjustments, accruals, intercompany charging
• Prepare audit schedules and reconciliations
• Perform bank reconciliation
• Provide timely response on queries and requests from Client Agencies and other stakeholders (e.g. Agency Staff, Auditors, Regulatory Bodies)
• Identify areas for process improvements to ensure that work processes are streamlined to increase work productivity and achieve better efficiency and effectiveness.

What are we looking for?

• Singaporean only
• Minimum A-Level or Diploma in Finance or relevant discipline.
• Proficient in Microsoft Office.
• No prior experience required as training will be provided.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

The Data Analyst will perform data analysis to evaluate models, analyze data, and inform strategic decision-making.

Job Description:

• Oversee the quality of ratings from external vendors and ensure accurate assessment of Punjabi or Tamil content in relevance to media.
• Generate detailed reports that analyze issues, patterns, and trends specific to Punjabi or Tamil media content.
• Use data analysis tools (SQL, Python, Tableau) to identify insights and uncover relevance issues within query logs and metrics.
• Collaborate closely with statisticians, engineers, and data scientists to evaluate and refine search algorithms.

Requirements:

• BA/BS or equivalent industry experience in Business Administration, Business Analytics, or relevant.
• Experience data analysis tools such as SQL, Python, Tableau.
• Familiar with search and recommendations engines.
• Experience analyzing large data sets and generating reports.
• Able to read and write in Punjabi or Tamil (min. B3 in 'O' level Punjabi or Tamil or equivalent certifications) to read, analyze and write content in Punjabi or Tamil.
• Good knowledge of the India market.
• Excellent analytical and problem-solving skills.
• Willingness to be proactive in bringing new, innovative ideas to the table.

About Innowave Tech

Innowave Tech: MANUFACTURING SIMPLIFIED

Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in developing cutting-edge technologies for innovation and efficiency. Our focus is on computer vision and large-scale data analytics to meet the complex needs of our clients in the advanced manufacturing and semiconductor industry.

Job Description:

As a Data Engineer Intern (Equipment Health Analytics), you will develop data architecture and infrastructure for industrial IoT data. You will collaborate with cross-functional teams to build and maintain scalable and reliable data storage and data pipeline. This role offers a unique opportunity to work with innovative technologies and make a meaningful impact in a fast-evolving industry and is ideal for candidates with strong data engineering skills and interest in AI applications.

Key Responsibilities:

1. Design and implement multi-tenant data architecture for equipment sensor data.

2. Implement and maintain storage solutions across cloud and on-premises systems.

3. Build data quality validation frameworks and metadata management systems.

4. Document technical processes and data flows.

Requirements / Qualifications:

· Minimum Poly, Bachelor’s, or Master’s degree in Data Engineering, Computer Science, or related field.

· Self-motivated learner who quickly adapts to new tools and technologies.

· Strong problem solver with proven ability to complete complex tasks.

· Detail-oriented with high standards for work quality.

· Excellent communicator and team collaborator.

· Internship duration should be at least 3 months full time.

· Resume should indicate your forecasted internship dates.

Required Skill Sets:

· Python programming

· SQL and NoSQL databases

· Message queues or Redis

· Storage solutions: Cloud (Azure Blob, AWS S3) or On-premises (Ceph, MinIO)

· Data lake concepts and implementations

· Linux shell scripting and system administration

· Knowledge of the following is a plus:

- IoT data and manufacturing processes

- Basic understanding of data security principles

- Familiarity with DevOps practices

Screening questions:

• The intended internship period will be during your course of study?

• Are you students pursuing Computer Science disciplines?

• Are you able to commit for more than 3 months?

Outcome of Technical Skills and Competencies that Intern will learn:

· To identify and translate business and technical requirements into data architectures.

· To develop proficiency and practical experience in cloud and on-premises storage solutions.

· To build and maintain data pipelines while documenting technical processes and data flows effectively.

· To gain hands-on experience with tools and system administration for data engineering tasks.

· To collaborate effectively with stakeholders while adapting to new technologies and solving complex data engineering problems within deadlines.