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

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

The opportunity:

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

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

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

Your key responsibilities:

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

Skills and attributes for success

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

To qualify for the role, you must have

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

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

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

What we offer

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

Plus, we offer:

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

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

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

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

Responsibilities:

• Deploy and maintain on-site data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware.
• Handle data-bearing devices (e.g., hard drives, SSDs).
• Work within a ticket-based environment.
• Move equipment using pallet jacks or lifting tools.
• Assist the Data Centre Inventory and Asset Management Team (DIAT) with shipping, receiving, and inventory management as needed.
• Work flexible hours, including weekends and holidays.

Education / Experience:

• Diploma / Degree in IT / Computer Engineering or equivalent.
• 1 year of IT support experience (Fresh graduates with a good attitude will be considered).

Skills:

• Basic knowledge of computer hardware and components.
• 6+ months experience handling technical equipment or machinery.
• 1+ years of IT equipment support experience.
• Relevant certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
• Ability to stand, walk, lift, and work at heights with or without equipment assistance.
• Willingness to learn and develop new technical skills.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Job Description

• Plan, deploy and implement Data Loss Prevention on security projects and initiatives.
• Responsible for management, advanced configuration, monitoring and finetuning of Data Loss Prevention solution.
• Configure, develop and maintain DLP tools & platform.
• He/she will be reporting to the DLP Team Lead will be working on projects and operational work.
• Responsible for processing requests, investigate operational issues and facilitate security investigation by providing the necessary information in accordance with approved policy and procedures as well as process improvement.

Requirements

• Diploma/Degree in Computer Science, Engineering or equivalent.
• At least 5 years of working experience in IT Incident Management, DLP Operations.
• Experience in multiple channels of DLP implementation and operations.
• Good team player as well as strong communications skills.
• Strong analytical skills and ability to work independently.

Morgan McKinley Pte Ltd

Syairah Banu

EA Licence No: 11C5502

EA Registration No. R21100522

Responsibilities

• Develop and implement data science and AI roadmap and strategy to drive key AI initiatives across the group
• Lead data science and AI team in implementing and managing AI projects throughout their lifecycles to meet business and technical needs
• Set up and maintain sufficient compute infrastructure for training and deploying AI models in a cost efficient manner
• Gather and translate business and technical needs from internal and external stakeholders into metrics that can be optimized by AI models
• Collaborate closely with domain experts (e.g. chemists), IT engineers, software engineers, technology leaders and business leaders to ensure that data science and AI projects meet business and technical requirements
• Prepare presentations and reports on data science and AI project outcomes to facilitate senior management’s decision-making and strategic planning
• Keep abreast of latest developments and trends in data science and AI and implement best practices timely
• Enthusiastic about learning relevant domain knowledge of paints and coatings that is needed to successfully lead and execute data science and AI projects

Requirements

• Bachelor’s, master’s or PhD degree in computer science, AI, data science, electrical engineering, statistics, mathematics or related fields
• Strong knowledge and expertise in data science, AI, machine learning, deep learning, MLOps and project management
• At least 7 – 8 years of experience with leading and implementing data science and AI projects in a business environment
• Experience with programming e.g. Python
• Experience with using machine learning frameworks e.g. PyTorch, TensorFlow, Keras and scikit-learn
• Capable of working independently as well as in teams
• Excellent communication skills for presentations and reports
• Proficient in written and spoken English
• Experience with paints and coatings, chemistry or materials science is a plus
• Able to travel occasionally as and when required.

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

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.

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.

We are looking for a highly skilled Senior Data Scientist for our DT&A Platform with a strong background in Supply Chain. We seek for someone who enjoys hands-on data science work while also possess the ambition to lead strategic initiatives. The role bridges data science, product management, and business strategy, playing a key role in shaping the future of our supply chain data ecosystem. A strong initial focus will involve tracking vessels and their cargoes while contribute to the creation of a digital twin of our operations. The role offers an unparalleled opportunity to make a tangible impact on our global supply chain optimization and predictive capabilities.

Main Responsibilities:

• Data Product Development:

1. Design, develop, and manage the lifecycle of high-quality data products

• Algorithm Design:

1. Build advanced algorithms, with a focus on fuzzy matching, destination prediction, indicator modeling, and optimization within digital twins

• Data Management:

1. Collaborate with data engineers to handle complex, multi-format datasets, ensuring accurate analysis and effective data governance

• Team Coordination:

1. Work closely with cross-functional teams, including data architects, data engineers, and the product team to align on project goals, technical specifications, and deliverables

• Stakeholder Engagement:

1. Translate business needs into data-driven solutions, ensuring alignment with strategic goals

• Insights Presentation:

1. Synthesize raw data into actionable insights, delivering compelling visualizations and narratives for both technical and non-technical stakeholders on a regular basis

Experiences:

• At least 2-4 years of relevant experiences
• Strong background in AIS data, geographical data, or time series prediction
• Proven experience in designing and implementing quality algorithms for research and data analytics
• Experience in agricultural commodities trading, freight, logistics or similar markets is a strong plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Passionate about staying abreast of the latest trends in AI, data science, and industry innovations
• 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
• Independent self-starter who takes initiative, and has a proactive attitude toward problems and issues
• Ability to present complex technical concepts in an accessible manner to stakeholders at all levels
• Ability to communicate with both technical and non-technical stakeholders

Technical Skills:

• Proficiency in Python and SQL
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)
• Experience in working with large, complex datasets
• Experience in implementing fuzzy matching algorithms, optimization techniques, and other advanced analytics methods are a strong plus

Academics:

• Degree or Master’s in Mathematics, Statistics, Econometrics, Computer Science, Data Science or related field of study

Responsibilities:

• Strong understanding of data integration concepts, ETL process and data quality management.

• Proficiency in designing and implementing data mappings, transformations, and workflows.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

Requirements:

• Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.

• Experience with other cloud based ETL technologies.

• Experience in AWS Services focusing on ETL and data processing.

• Familiarity with data visualization tools like Tableau or Power BI.

[1 year contract, renewable]

As a Senior Data Scientist within the VICA team, you'll play a pivotal role in shaping the future of citizen engagement through data-driven insights. You'll be responsible for analyzing user interactions, optimizing chatbot performance, and developing advanced functionalities to enhance user experience.

About VICA

VICA (Virtual Intelligent Chat Assistant) is a government-developed platform powering chatbots across various Singaporean agencies. It leverages Natural Language Processing (NLP) and machine learning to provide citizens with convenient access to information and services.

Responsibilities:

· Develop and refine machine learning models to improve chatbot performance in tasks such as intent classification, dialogue management, and sentiment analysis.

· Experiment with different models and algorithms to achieve optimal results.

· Collaborate with engineers to integrate models into the VICA platform.

· Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.

· Utilize statistical techniques and visualization tools to communicate findings effectively.

· Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

· Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.

· Explore cutting-edge NLP methods to enhance chatbot capabilities.

· Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.

· Propose and implement innovative solutions to address chatbot challenges and improve user experience.

· Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:

· Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).

· Minimum 4 years of experience in data science with a focus on NLP.

· Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.

· Strong understanding of Natural Language Processing (NLP) concepts and techniques.

· Experience working with real-world, large-scale datasets.

· Excellent communication and collaboration skills.

· Ability to work independently and manage multiple projects simultaneously.

· Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

Digital Procurement Master Data Specialist – Telenor Procurement Company

Telenor Group is the world’s leading telecommunications company across the Nordics and Asia with 211 million subscribers and 81 billion NOK in revenues. We are committed to responsible business conduct and driven by the ambition of empowering societies. Connectivity has been Telenor’s domain for more than 160 years, and our purpose is to connect our customers to what matters most.

Telenor has a leading Nordic position in mobile, broadband and TV services, as well as substantial activities in subsidiaries and joint venture operations, including mobile financial services and online classifieds in the Asia region. Worldwide, Telenor Group and our operations’ teams are 11,000 people strong.

Telenor Procurement Company (TPC), established in 2017 and based out of Singapore, operates as a subsidiary of the Telenor Group. We deliver Global Category Management as a service to the Telenor Business Units and beyond, taking full responsibility for the end-to-end Sourcing process and performance of global spend categories. Functioning as one Global Procurement team across all Telenor markets, we enable Telenor’s strategic ambitions by becoming a centre of expertise in the pursuit of efficient operations. TPC seeks qualified procurement professionals that are comfortable working in a global setup in the fast-paced Telecom field.

For more information, please visit our website (https://www.telenor.com/about/our-companies/other-units/telenor-procurement-company/)

About the Role

As Master Data Specialist, you will work with Senior Manager BI and Master Data to execute data strategy and establish better governance of the group’s procurement master data throughout its lifecycle and ensure that high quality, actionable spend data is provided to the business. You will guide the category teams on how to secure an item’s mastering and data integrity through the end-to-end procurement process. This is partially a new role in the team developing our master data management (MDM) is a key part of improving our global Purchase-to-Pay (P2P) capability. In this role, you will make your mark on Telenor’s journey of digital transformation.

However, the role will work closely with the operational team who is rolling out a common Purchase-to-Pay (P2P) process and solution across all our business units.

Main Responsibilities

Master Data Governance

• Develop and secure implementation of the Master Data Governance across Global Procurement
• Develop and continuously improve lifecycle processes for efficient master data in P2P and Sourcing processes.
• Ensure effective master data governance disciplines for both internal stakeholders across BUs to establish data quality rules and ensure effective data quality program.
• Maintain and update governance documents, ensure alignment across data owners and center of excellence forum.
• Periodic maintenance of MDM portal and ensure information are up to date.

Data Analysis and Tooling Development

• Develop analytic report to be used for Global Procurement.
• Develop TCO benchmark tooling to be used across Global Procurement for the RFQ processes.
• Periodic analysis of spend data quality to ensure accuracy of spend, drive cleansing and process improvement through different forums (central and local category team, P2P, Finance).
• Develop and enhance machine learning scripts to improve spend classification

Project Support

• Assist in the planning and execution of projects aimed at improving operational efficiency.
• Track project milestones and deliverables, ensuring timely completion.

Cross-Department Collaboration

• Build strong working relationships with internal or external customers, other key stakeholders within Global Procurement including P2P team and IT system specialists to develop a shared understanding of MDM requirements, business processes and department inter-dependencies.

Profile

We seek a passionate person in exploring various technology and knowledge has hands-on experience developing solution through various analytic tooling. with harmonizing and improving master data, common information architecture and business processes related to the procurement supply chain functional area.

The following characteristics will be critical to succeed in the role:

• Good understanding procurement process and data especially master data.
• A problem solver capable of dissecting a complicated problem and evaluating it systematically.
• Detail oriented and structured, while at the same time have a good overview and business acumen.
• Passionate about technology and staying up to date on current technology landscape and able to engage in technical discussion.
• A promoter of data science and Artificial Intelligence that can bring AI into procurement landscape.
• An analyst and a programmer yourself that able to develop solution through different tooling involving different technologies.
• Excellent communicator that brings a positive influence even to contentious discussions.
• Self-driven, and ability to adapt to a fast moving and dynamic environment with changes in priorities.
• Interested to evolve along a Data Governance/Data Management career path.

Qualification and Skills Requirements

• University degree within Finance/Accounting, Supply Chain, Business Management, Statistics, Engineering, Economics, Data Science or equivalent
• 2+ years working with applied business intelligence and analytics solutions. Fresh graduates are welcome
• Experience from Procurement/Strategic Sourcing/ Category management/Supply Chain
• Working in a matrix set-up
• Working in an international corporate with both European and Asian footprint
• Hands-on experience with procurement enabling tools such as spend visibility and Coupa P2P.

Proficient in:

• Programming: Python, R
• Analytic: Power BI
• Cloud Platform: Google Cloud, AWS, Azure, Fabric
• O365: Power Automate
• AI: MS Co-Pilot, ChatGPT

Within the family there is a range of technical and managerial customer on-site functions. The family of jobs is focused on managing the onsite delivering of software services, pre-sales, post-sales or service delivery support, installation and configuration for customer environments. The jobs solve various business systems, networking and applications problems for standard industry servers, specialized or complex clustered environments. Deliver reactive and proactive activities according to Service Level Agreement to ensure customer satisfaction and loyalty. Provides direct post-sales systems on site technical support for reactive and proactive customers. Each position maintains a high level of customer satisfaction by ensuring clear business and technical solution alignment, clarifying customer needs and ensuring that they are met. Jobs are responsible for company Total Customer Experience as well as the revenue growth, profitability, and account retention.

Management Level Definition:

Unique mastery and recognized authority on relevant subject matter knowledge including technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in the most complex disciplines, in which the company must operate to be successful. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.

Responsibilities:

• Apply deep and broad technical background and knowledge of industry trends to operate critical or high-risk technology areas/customer groups.
• Integrate technical knowledge and business understanding to create solutions for customers.
• Mentor/consult with team members, other organizations, customers, and vendors on the most complex issues.
• Resolve technical and business incidents independently. Mentor/assist less-experienced team members on complex incidents
• Provide expert consulting on a specific technology, application, service offering or market segment.
• Deliver strategic account support through proactively maintaining high-level technical, operational expertise and understanding of industry trends.
• Anticipate, understand, and position the perception of system problems and deliver service needs at different management and functional levels.
• Lead Mission Critical delivery team in planning, delivering, and managing complex support Design, deliver, and manage delivery of industry specific solutions.
• Maintain high-level expertise in area of focus and stay abreast of future technology directions
• Create and deliver Value Based Delivery (VBD) plans for assigned accounts.
• Lead Customer Expectation management as part of escalation process.
• Consult with executive customer management to achieve IT operations excellence.
• Contribute to tasks outside normal Mission Critical Support Specialist/Mission Critical account support or geographic (district or country) scope.
• Analyze the customer's business, organization, and information systems needs.
• Develop and grow assigned customer account relationships with complex and strategic accounts.
• Act as trusted advisor in the consultant role for customer and the company's sales teams.
• Anticipate, understand, and position the perception of system problems and deliver service needs at different management and functional levels.
• Lead Mission Critical delivery team in planning, delivering, and managing complex support Design, deliver, and manage delivery of industry specific solutions.
• Maintain high-level expertise in area of focus and stay abreast of future technology directions.
• Create and deliver Value Based Delivery (VBD) plans for assigned accounts.
• Lead Customer Expectation management as part of escalation process.
• Consult with executive customer management to achieve IT operations excellence.
• Contribute to tasks outside normal Mission Critical Support Specialist/Mission Critical account support or geographic (district or country) scope.

Education and Experience Required:

• Bachelor's degree preferred or Associate degree holder (technical field) with 8+years working experience in related fields desired.

Knowledge and Skills:

• In-depth knowledge of company and industry standard networked computing environments, operating systems, and applications.
• Broad knowledge of corporate policies, products, markets and processes, as well as an understanding of business management principles and practices.
• Thorough knowledge of company products and services offerings, company organization, competition, third party products and market trends.
• State-of-the-art technical, functional or business knowledge.
• Expert in one or more industry or advanced specialty areas.
• Anticipate Customer needs, develop proposed solutions, and build consensus with customer key decision makers.
• Capable of consulting with Customers for process design, development and implementation.
• Thorough understanding of change management process and procedures.
• Expert skills in project management, analysis, communication, presentation, innovation and negotiation .
• Delivery expertise in at least two or more specific specialty skills. Eg. (ITIL, performance, Change management).
• Mission Critical and ITIL certifications.
• Certified in a strategic business direction (e.g. SAN, SAP, OpenView, ITIL), certification tied to the company's key business strategies with associated revenue.

We are seeking a skilled Data Engineer to join our analytics team. The ideal candidate will design, build, and optimize data pipelines and architectures to support business needs, enabling efficient data analysis and decision-making.

• Working Hours: Mon-Fri
• Working Location: Central
• Salary Package: Up to $7k with AWS + VB

Responsibilities:

• Build and maintain data architectures, including databases, data warehouses, and large-scale processing systems.
• Design and implement data pipelines for modelling, mining, and production use.
• Ensure data architecture supports analytics and business requirements.
• Use programming tools to clean and prepare raw data for modelling.
• Improve data quality, reliability, and efficiency.
• Organize and catalog data for easy access and retrieval.
• Optimize SQL/PLSQL scripts and database performance.

Requirements:

• Minimum 3 years of experience in data architecture, data warehousing, ETL/ELT, and real-time streaming solutions.
• Proficiency in Kubernetes-based DevOps, container orchestration, CI/CD pipelines, and microservices deployment.
• Hands-on experience with Oracle SQL/PLSQL and AWS solutions like EC2, S3, EMR, Redshift, Athena, and Kinesis.
• Strong skills in Python, R, or SQL for data processing and aggregation.
• Familiarity with tools like Java, Hadoop, Apache Spark, Airflow, or Hive.
• Experience with data crawling, modelling, data lakes, and warehouse construction.
• Basic knowledge of Oracle database architecture.
• Knowledge of deploying machine learning models is a plus.

Join us to work on exciting projects and shape the future of data-driven solutions!

Apply now!

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This authorizes us to:

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• To withdraw consent, email [email protected].

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

JOB SUMMARY

The Data Strategy & Reporting Manager will be responsible for creating & maintaining data pipelines, and the platforms that support said pipelines. He/She will be required to generate a strong understanding of data from a multitude of internal/external platforms, and create pipelines (automated, where possible) that support further downstream reporting/analysis.

CANDIDATE PROFILE

The experience, skills and knowledge and education/certification components of the Candidate Profile should be presented as preferences rather than requirements unless an individual would not be hired for the position without these. Equivalent work experience may be substituted for years of experience.

Experience

• Bachelor’s degree in a quantitative discipline (Computer Science, Economics, Statistics or relevant field)
• Hands on experience developing corporate reports, dashboards and reporting visualizations (2+ years)
• Experience in working with, developing, and maintaining data pipelines/databases (2+ years)
• Preferred: Experience in working with cloud services/platforms and APIs (2+ years)

Skills and Knowledge

Essential

• Expertise in data visualization and dashboard creation to support downstream business analysis in Microsoft Power BI
• Expertise in database query languages (i.e. SQL) and cloud/on-premise database management, ability to manage mid to large-sized corporate databases
• Expertise in Python or related programming languages to support advanced analytics
• Experience in consolidating and processing complex data sets (ETL/ELT, data validation techniques)
• Fluent in written and oral communication in English

Desirable

• Experience working with Snowflake cloud databases and SnowSQL
• Experience in statistical modeling and machine learning in Python or related programming languages
• Experience working with cloud services/platforms and APIs; HTML & Javascript a plus
• Experience in cloud computing platforms/services (i.e. Google Cloud, Microsoft Azure, etc.) preferred
• Experience working independently or as part of a team in Regional/Global projects
• Working knowledge/experience in Revenue Management/Sales/Marketing/Loyalty Programming domains or Travel & Hospitality industry

Others

• Able to analyze large volumes of complex information/data and present in a clear, concise and intuitive manner
• Able to work in fast-paced environment and adapt to changing business conditions/requirements quickly
• Able to work well independently or as part of a team, initiating and supporting business change
• Excellent interpersonal, as well as written and oral communication skills

CORE WORK ACTIVITIES

Leadership

• Adaptability – Develops strategies and identifies resources to implement and manage change; models flexibility in adjusting priorities; and communicates the need for change in a positive way that encourages commitment.
• Communication – Actively listens and uses appropriate communication styles to deliver complex information in a clear concise way and influences others to accept a point of view, gain consensus, or take action.
• Problem Solving and Decision Making – Models and sets expectations for solving complex problems, collecting and comparing information to evaluate alternatives, considering their potential impact before making decisions, involving others to gain agreement and support, and guiding others to implement solutions.
• Professional Demeanor – Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values.

Managing Execution

• Building and Contributing to Teams - Leads and participates as a member of a team to move the team toward the completion of common goals while fostering cohesion and collaboration among team members.
• Driving for Results - Focuses and guides others in accomplishing work objectives.
• Planning and Organizing - Gathers information and resources required to set a plan of action for self and/or others; prioritizes and arranges work requirements self and/or others to accomplish goals and ensure work is completed.

Technical Expertise

• Develop analytical approaches to support all key business processes throughout the year
• Provide support and help develop/maintain/update Continent and GLS tools and develop analysis to identify revenue opportunities
• Develop measurement techniques to evaluate the effectiveness of multiple initiatives
• Work closely with operations research and systems personnel in creating and developing decision support systems that will lead to enhanced revenues.
• Respond to requests from Revenue Management stakeholders and other Sales and Marketing stakeholders for data and analysis
• Special projects, including ad hoc requests for information, analysis and recommendations relative to Revenue Management initiatives

Building Relationships

• Coworker Relationships - Develops and uses collaborative relationships to facilitate the accomplishment of work goals.
• Customer Relationships - Develops and sustains relationships based on an understanding of customer needs and actions consistent with the company’s service standards.
• Global Mindset - Supports employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; utilizes differences to drive innovation, engagement and enhance business results; and ensures employees are given the opportunity to contribute to their full potential.

Generating Talent and Organizational Capability

• Organizational Capability - Evaluates and adapts the structure of organizational units, jobs, and work processes to best fit the needs and/or support the goals of an organizational unit.
• Talent Management - Provides guidance and feedback to help individuals develop and strengthen skills and abilities needed to accomplish work objectives.

Learning and Applying Personal Expertise

• Applied Learning - Seeks and makes the most of learning opportunities to improve performance of self and/or others.
• Business Acumen - Understands and utilizes business information (e.g., data related to property Revenue and financial performance) to manage everyday operations and generate innovative solutions to approach business and administrative challenges.
• Technical Acumen - Understands and utilizes professional skills and knowledge in a specific functional area to conduct and manage everyday business operations and generate innovative solutions to approach function-specific work challenges.
• Analysis - The ability to analyze and summarize detailed data to make inferences and recommendations. Included is the creation and maintenance of spreadsheets for storing data.
• Research - Skill in collecting information from a variety of sources relating to market data, historical cycles, travel and tourism trends, and real estate market dynamics.
• Mathematical Reasoning - Demonstrates ability to add, subtract, multiply, or divide quickly, correctly, and in a way that allows one to solve work-related issues.
• Oral Comprehension - Demonstrates ability to listen to and understand information and ideas presented through spoken words and sentences.
• Reading Comprehension - Demonstrates understanding of written sentences and paragraphs in work-related documents.
• Writing - Communicates effectively in writing as appropriate for the needs of the audience.

MANAGEMENT COMPETENCIES

Leadership

• Adaptability - Maintains performance level under pressure or when experiencing changes or challenges in the workplace.
• Communication - Conveys information and ideas to others in a convincing and engaging manner through a variety of methods.
• Problem Solving and Decision Making - Identifies and understands issues, problems, and opportunities; obtains and compares information from different sources to draw conclusions, develops and evaluates alternatives and solutions, solves problems, and chooses a course of action.
• Professional Demeanor - Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values.

Managing Execution

• Building and Contributing to Teams - Participates as a member of a team to move toward the completion of common goals while fostering cohesion and collaboration among team members.
• Driving for Results - Sets high standards of performance for self and/or others; assumes responsibility for work objectives; initiates, focuses, and monitors the efforts of self and/or others toward the accomplishment goals; proactively takes action and goes beyond what is required.
• Planning and Organizing - Gathers information and resources required to set a plan of action for self and/or others; prioritizes and arranges work requirements to accomplish goals and ensure work is completed.

Building Relationships

• Coworker Relationships - Interacts with others in a way that builds openness, trust, and confidence in the pursuit of organizational goals and lasting relationships.
• Customer Relationships - Develops and sustains relationships based on an understanding of customer/stakeholder needs and actions consistent with the company’s service standards.
• Global Mindset - Supports employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; utilizes differences to drive innovation, engagement and enhance business results; and ensures employees are given the opportunity to contribute to their full potential.

Generating Talent and Organizational Capability

• Talent Management - Provides support and feedback to help individuals develop and strengthen skills and abilities needed to accomplish work objectives.

Learning and Applying Professional Expertise

• Applied Learning - Seeks and makes the most of learning opportunities to improve performance of self and/or others.
• Business Acumen - Understands and utilizes business information to manage everyday operations and generate innovative solutions to approach business and administrative challenges.
• Technical Acumen - Understands and utilizes professional skills and knowledge in a specific functional area to conduct and manage everyday business operations and generate innovative solutions to approach function-specific work challenges.
• Sales Opportunity Analysis-Understanding and utilizing economic, financial, industry, and organizational data; accurately diagnosing customers’ business strengths, weaknesses, and key issues that can inform sales strategies and plans.
• Basic Competencies - Fundamental competencies required for accomplishing basic work activities.
• Basic Computer Skills - Uses basic computer hardware and software (e.g., personal computers, word processing software, Internet browsers, etc.).
• Mathematical Reasoning - Adds, subtracts, multiplies, or divides quickly, correctly, and in a way that allows one to solve work-related issues.
• Oral Comprehension - Listens to and understands information and ideas presented through spoken words and sentences.
• Reading Comprehension – Understands written sentences and paragraphs in work related documents.
• Writing - Communicates effectively in writing as appropriate for the needs of the audience.

Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

What will you do?

• Oversee the product “Identity”. Some examples of the data you’ll manage would be: medium description, product weight, instruction sheets and products images (both 2D and 3Ds).
• Work closely with both the technical team in charge of product development and the Schneider web team. Some of these assets are delegated to subcontractors hence you’ll have to supervise their efficiency to avoid budget wasting and make sure that deliverables are published on time.
• Be a key actor in the creation of a safe and high-quality product by leading the quality process preventing customers to make mistakes when using our products.
• Drive the creation of exciting commercial assets enabling our sales colleagues to successfully convert new customers: customer presentations, leaflets, training content, video
• Work with Schneider advertisement expert teams, giving you a wider exposition while letting you discover even more workings of the big Schneider machine.

What qualifications will make you successful?

• Degree qualification in Engineering or its equivalent disciplines
• 5 years’ experience in electronics or electromechanics for products used in an automation system
• Basic project management
• Strong communication skills and collaboration spirit, required to influence and motivate various stakeholders: internal C&S teammates, Global Marketing, subcontractors.
• Rigor, dynamism, and proactivity will help you deliver accurate content, drive your colleague into respecting the deadlines and enable you to create to ways to improve the efficiency of the marketing team.
• Curiosity & willingness to keep learning & challenging oneself.
• Comfortable managing several topics in parallel
• Open to multi-cultural and multi-disciplinary environments.

Job Description:

• Prepare Bill of Material and ensure sufficient materials to produce the ordered products.
• Prepare daily WIP reports.
• Assist in the analysis of work order releases with respect to capacity planning and material requirements.
• Identify material shortages and expiry to avoid excessive volume and accumulation at plant.
• Coordinate with warehouse team to control the inventory movement and ensure no stock keep in warehouse more than 3weeks without consumption.
• Perform other duties as assigned by manager.

Job Requirement:

• Good interpersonal and communication skill
• Have administrative or planning experience in production department preferred
• Good with Microsoft applications, such as Excel, Word and PowerPoint
• Strong analytical and problem-solving skills

AngelineMah
Reg No: R2096146
One Vogue Pte Ltd
EA License: 19C9629

My Client is a Singapore head quartered global company that provides Big Data & Analytics solutions on the Cloud using a SaaS model that harnesses poly-structured data from myriad sources at the right latency, derives Insights and converts Insights to appropriate business Actions. They have a strong team of Data Scientists and Domain Experts who provide Consulting and Managed Services to realise business benefits using Big Data.

What you'll do:

• Responsible for meeting revenue targets leveraging own contacts, lead generation activities and alliance partners
• Manage the opportunity from sales pursuit to close using deep sales process and offering expertise. Act as point of contact for resolution and escalation of all the key items with the client and internally.
• Target the right clients, grow quality pipeline, win profitable deals, and manage sales activities to create mutually beneficial, trust-based relationships that create value.
• Generate and build client relationships leading to qualified opportunity identification and involvement throughout the sales cycle, often without an existing client relationship or opportunity.
• Create a direct relationship with the owner or decision-makers of enterprise companies in Singapore.
• Interact with senior management levels at a client, which involves negotiating or influencing significant matters.

What we look for in you!

• Minimum of 5 years experience selling Cloud (IaaS or PaaS) and/or analytics services.
• Possess any of the cloud fundamentals certifications
• Have sold deals of data warehousing, analytics solutions
• Have positioned winning strategy development and value proposition development
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills

Desired Candidature

• Has prior experience in leading and closing multi-year deals.
• Having some prior experience in selling cloud services-based data warehousing or analytics/ data science solutions.
• Ability to identify a client problem statement and craft a value proposition that provides specific outcomes addressing the client's problem.
• Ability to provide solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives.
• Ability to originate new opportunities.

Job Overview

We are seeking a highly skilled and motivated Data Operations Engineer to join our Data Solution team with focus on Commodity Trading, Logistics, Risk Management and Storage. The ideal candidate will be responsible for the development, deployment, and maintenance of our data pipelines and infrastructure, ensuring seamless data ingestion, transformation, and ongoing operations. You will work closely with data engineers, data scientists, and business stakeholders to ensure data quality, reliability, and performance.

Duties and Responsibilities

1. Data Ingestion and Transformation:

• Design, develop, and maintain data ingestion processes using Azure Data Factory, Azure Functions, and Logic Apps in close alignment with the DevOps team.
• Implement and manage data transformations using Databricks and Delta Live Tables, including the DLT-Framework.
• Develop and optimize ETL processes to ensure data is ingested, transformed, and stored effectively.

2. Maintenance and Operations:

• Monitor and maintain data pipelines to ensure continuous and reliable data flow.
• Troubleshoot and resolve issues related to data ingestion, transformation, and storage.
• Implement and manage automation tools to improve operational efficiency and reduce manual intervention.
• Ensure the scalability and performance of the data infrastructure.

3. Automation and Monitoring:

• Automate data workflows and processes to improve efficiency and reduce manual intervention.
• Implement & operate CI/CD pipelines
• Implement monitoring and alerting systems to ensure data pipeline reliability and performance.

4. Collaboration and Communication:

• Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and operate or deliver solutions.
• Provide technical support and guidance to team members and stakeholders.

5. Data Quality and Governance:

• Implement data quality checks and validation processes to ensure data integrity.
• Adhere to data governance policies and best practices.

Qualifications

Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.

Experience

Proven experience of at least 4 years as a Data Operations Engineer or similar role ideally within an agile delivery work environment.

Skill and Competencies

- Strong technical skills in a cloud environment, including:

• Azure Data Factory, Azure Functions, and Logic Apps
• Databricks and Delta Live Tables, including the DLT-Framework
• Programming languages such as Python, SQL, and Scala
• CI/CD pipelines and DevOps best practices
• Familiarity with data governance and data quality best practices

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills in a hybrid- and remote Team-Setup.

- Previous experience in the field of commodity trading or banking with a focus on (credit-) risk management, product control, or trading itself is a big plus.

If you meet the qualifications and are interested in this opportunity, please submit your application via "Apply Now". We look forward to reviewing your credentials.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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

About the Team

Nuverse is a gaming business unit in ByteDance. The Game Technology team is playing a significant role in the whole life cycle of the game. We are responsible for the development, testing, operation, SRE, and quality assurance of the user and operating system, and give strong support for game developing and publishing. Providing comprehensive and systematical solutions, support the good operation and commercialization of the game. Responsible for the design and implementation of the deployment architecture of the game's overseas game business, and ensuring the good operation of online services.

Job Description:

1. Participate in the construction and operation and maintenance of offline and real-time data warehouses for game business;

2. Participate in the optimization of the data ETL process and solve ETL-related technical problems;

3. Participate in data governance work under complex data link dependencies and multi-data content ecology;

4. Relying on ByteDance's big data solutions, quickly implement data solutions in the business.

Qualifications

Minimum Qualifications：

1. Bachelor's degree or above in computer-related majors, with more than 4 years of big data-related work experience;

2. Master most of the big data-related technologies such as Hive, Yarn, Spark, Flink, Kafka, HBase, understand their principles and be able to complete performance tuning;

3. Proficient in using HQL, and master at least one of Python, Java, Scala, and GO;

4. Familiar with the Linux operating system and proficient in Shell programming;

5. Be proactive at work and be able to independently analyze and solve problems;

6. Be responsible, have good communication skills and teamwork ability;

Preferred Qualifications:

1. Experience in the gaming industry or managing platform-type internet products will be an advantage.

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

Dare to Dream Bigger?