COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

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

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

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

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior Data Engineer has a role focusing on building our modern Lakehouse including owning pipeline development, data modeling and governance within a cross-functional team responsible for the end-to-end delivery of data products and analytics solutions.Additionally creating CI/CD pipelines for automated deployments and monitoring, and enforce data quality checks, ensuring data consistency, reliability, and compliance.

Key Responsibilities:

Working with Product Owners, Business Analysts and Data Analysts to ensure business requirements are translated into data solutions, deliver accurate and reliable datasets that enable impactful analytics and dashboards.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and inform our solution design with a goal of balancing scalability and performance.

Skills:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.
• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.
• Spark & Azure Databricks: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.
• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.
• CI/CD Pipeline Creation: Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines models using GitHub and GitHub Actions with Databricks.
• Infrastructure as Code: Experience in automating cloud infrastructure management for consistent deployment and scaling using tools like Terraform.

• 5+ Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.
• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

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.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

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Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Morgan McKinley is seeking a Senior Data Scientist for a 12 month contract assignment with a possibility to extend or to go perm!

Job Responsibilities:

• Conduct tailored analyses to define and track critical business metrics, recommending improvements.
• Frame business scenarios and propose impactful features for decision-making.
• Transform requirements into clear insights via reports and dashboards, consolidating data from multiple sources.
• Develop data pipelines and custom data models to address business problems.
• Launch A/B tests, conduct analyses, and provide actionable recommendations based on findings.

Qualifications:

• 6+ years experience as a Data Scientist in data-related fields, preferably in D2C/B2C sectors like E-Commerce or Retail Analytics.
• Strong problem-solving abilities and ownership of ambiguous business challenges, with a knack for innovative solutions.
• Proficient in SQL, Python, R, and familiar with designing experiments and data visualization (PowerBI/Tableau).
• Exceptional communication skills to influence teams and stakeholders effectively.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

✨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

PURPOSE

• To support the refreshed Digital Strategy focusing on GenAI, AI and Modern Data Platform, a senior data strategy and monetization leader is strongly needed to help enterprise-wide stakeholders make smarter business decisions, leveraging data and insights, fostering internal communication networks, and drive data & AI adoption and monetization.
• Lead the insights center of excellence (COE) and serve as a central resource to FWD all BUs. He/she utilizes the storytelling and leadership communication skills that are core to the role while adding capabilities to find insights in analytical and operational data as well as technical skills around Data Science & AI, Business Intelligence, and the modern data platform such as Data Mesh.
• Lead group data strategy and operation design and new data initiative planning to make FWD data strategy stay the leading edge in insurance industry
• Strong understanding of team’s processes to be the data champion for Group Data to drive the adoption of their data solutions, articulate the business benefit, get stronger buy-in from business stakeholders and provide strategy direction and business feedback.
• Drive group wide data literacy and transformation to embed AI everywhere along customer, distribution and employee journey

KEY ACCOUNTAIBILITIES

• Drive Smart Insurance Monetization to increase new VNB, improve customer experience and achieve operational excellence.
• Work with Group Strategy and BU to define VNB target for data monetization
• Drive Data Monetization execution by providing Subject Matter Expert recommendations
• Embed with stakeholder teams to understand where their business focuses are and why, what key decisions they make, how they make, and how data insights can seamlessly plug in to their business strategy as well as existing processes to maximize adoption of insights-driven decision-making.
• Observe and translate stakeholder data behaviors to technical teams (e.g., data engineering, data governance) to implement standards and processes that best fit existing ways of working
• Engage stakeholders to turn their business questions into testable hypotheses. Help prioritize needs and translate requirements for technology, analytics, and data science teams.
• Utilize AI and data visualization techniques to interpret and communicate complex data in a clear and accessible manner.
• Present insights to diverse teams inside and outside the organization applying data storytelling best practices and tailoring the message for the audience (e.g., leaders, line of business decision-makers, technical teams Get their buy-in and agree to implement.
• Produce statistics to measure product, process, and project outcomes, including benchmark metrics measuring communication processes. Conduct project debriefs, and ensure learning is incorporated for future projects and process improvement.
• Own, plan, and execute enterprise-wide data literacy and data storytelling education, serving users of different seniority, skill levels, and needs.
• Manage GO data strategy and operations

QUALIFICATIONS / EXPERIENCE

• Bachelors or Masters in Computer Science, MBA, Economics, Communications or related fields
• 15+ years of experience in a major financial or consultant organization, with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Well versed with industry trends
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• With experience for data and AI monetization

KNOWLEDGE & TECHNICAL SKILLS

• Data strategy design in line with group overall strategic directions
• Data literacy concepts (able to explain descriptive, diagnostic, predictive, and prescriptive analytics as well as common use cases)
• Data Monetization Leadership skills
• Data storytelling best practices
• Data visualization best practices
• Content creation and knowledge management best practices
• Qualitative research methodologies
• Quantitative analytical methodologies
• Data storytelling methods and best practices
• Design thinking, creation of user stories
• Workshop facilitation
• Deep understanding on FWD BU’s business and their strategic directions, able to translate group-level data strategy to adopt to local’s situation
• Good communication skills, able to gain other’s trust and extract business insights from various angles and translate into effective user requirements for data team to process and develop

A Project Business Analyst in a data analytics and cloud setting is responsible for supporting project management activities by analyzing data, monitoring project progress, and ensuring that project goals align with organizational objectives. They work closely with project managers and stakeholders to gather requirements, assess risks, and work close with the technical team to deliver the project.

Key responsibilities include managing requirements, facilitating communication among team members on project needs and requirements, manage end user testings, and manage project documentation. The role requires a strong communication, strong analytical skills, proficiency in data visualization tools, and a good understanding of cloud technologies.

Roles and Responsibilities

a) Involve in various stages of the systems development life cycle; adopting waterfall, agile or hybrid development methodology.

b) Involve in project planning and budgeting.

c) Plan and lead project delivery.

d) Involve in procurement (e.g. Call RFP/ITQ, evaluate and award to selected vendor).

e) Manage and work closely with various stakeholders (e.g. end users, senior management and external vendor).

f) Conduct user requirement gathering sessions for the development / implementation of new system or enhancements to existing systems.

g) Manage project implementation, application testing, supporting application patches and upgrades are in accordance with project methodologies and policies.

h) Manage project based on the project plan and timeline to meet identified business needs, within agreed parameter of cost, duration and quality.

i) Mitigate project risks.

j) Understand IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines.

k) Evaluate potential solutions and make recommendations to resolve business problems.

l) Provide guidance and coaching to junior team members.

m) Conduct end user training if required.

Requirements / Qualifications

a) Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent.

b) Seven (7) years’ experience in providing data warehouse or advanced analytics solutions.

c) Minimal Four (4) years’ experience in project management.

d) Thorough understanding of data warehouse concepts, dimensional design, and advanced analytics techniques.

e) Experience in any Data Management, Business Intelligence or Advanced Analytics tools.

f) Ability to manage/influence users, vendors and coordinate with multi-disciplinary teams.

g) Strong analytical skills and ability to work independently, as well as in a team.

h) Exposure to hospital information / clinical systems is an added advantage.

i) AWS cloud experience is a must.

j) Experience in Tableau Cloud, Informatica IDMC and Databricks projects is preferred.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Experience in AWS Services focusing on data and architecting.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

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

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Responsibilities

a. Involve in various stages of the systems development life cycle, adopting waterfall, agile or hybrid implementation methodology.

b. Perform work planning and budgeting. E.g., review and write approval papers.

c. Plan, lead and manage project delivery (inhouse or outsource). E.g.:

· Involve in procurement (e.g., Call RFP/ITQ, evaluate vendors’ proposal).

· Manage and work closely with various stakeholders (e.g., end users, senior management, and external vendor).

· Conduct user requirement gathering sessions for the implementation of new systems or enhancements to existing systems.

· Manage project based on the project plan and timeline to meet identified business needs, within agreed parameter of cost, duration, and quality.

· Mitigate project risks.

d. Understand procurement, system, and security policy to ensure compliance during project implementation/maintenance period.

e. Evaluate new solutions and make recommendations to resolve business problems.

f. Coach team members.

Requirements

a. Degree/Master’s in Computer Science, Information Technology, Computer Engineering or equivalent.

b. Minimal 10 years’ experience in project management.

c. Minimal 7 years’ experiences in providing data warehouse or analytics solutions.

d. Commercial cloud certification (e.g., AWS practitioner, solution architect).

e. Good self-organization and project management skill.

f. Experience in senior stakeholder management and maintaining professionalism in communication.

g. Experience in any Data Management, Business Intelligence or Analytics tools.

h. Experience in negotiation and execution of contracts with vendors.

i. Ability to manage/influence users, vendors, and coordinate with multi-disciplinary teams.

j. Strong analytical skills and ability to work independently, as well as in a team.

k. Worked in a government agency or healthcare industry is an added advantage.

l. Exposure to hospital information / clinical systems is an added advantage.

About Us

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

Why Join Us

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

Responsibilities:

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

Qualifications

Minimum Qualifications

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

Preferred Qualifications

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

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

Thrive Organisation is looking for the most outstanding candidate to represent the clients we work partner with, providing fitting solutions to meet specific requirements and drive results.

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

Why choose us?

1. Career Development

* We are determined to provide you with the necessary resources, mentorship, and growth opportunities to fuel your professional advancement

2. Travel Opportunities

* We encourage collaboration among our offices and teams worldwide. As a result, team members may have opportunities to work on projects that involve travel to other cities or countries, fostering a deeper understanding of diverse cultures and business practices

3. Personal Growth

* We offer a wide range of learning and development opportunities, including workshops, training sessions, and mentorship programs. We believe that growth happens when we push our boundaries

Who are we looking for?

* A growth mindset - the belief that abilities and intelligence can be developed through dedication and hard work

* Team members with the attitude that is more likely to share knowledge, seek guidance from others, and contribute to a supportive and knowledge-sharing culture within the organization

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Description:

• Preparation of Quotation for both spare parts and service attendance to customer
• Preparation and issue service kits and spare parts to service engineers
• Maintain good rapport with customers
• Attend to technical enquiries from customers
• Pick & pack of spares when necessary
• Prepare shipping documentation and arrange delivery with courier companies

Job Requirements:

• Able to read and understand schematic and block diagrams(Training will be provided)
• Min. Diploma in Electrical and Electronic

Overview

As a Microsoft Data Center Project Manager (DCPM), you will perform trouble shooting for service incidents, manage assigned projects to meet service delivery objectives as well escalate to appropriate stakeholders to remove obstacles. You will also follow safety policies and procedures and participate in root cause analysis (RCA) of incidents. This job will allow you to build a solid understanding of data center procedures, engage in collarobation across various teams as well as provide mentorship across data centers by sharing best practices.

Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCPM, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development for all employees and offers trainings and growth opportunities including Career Rotation Programs, Diversity & Inclusion trainings and events, and professional certifications.

Our infrastructure is comprised of a large global portfolio of more than 200 data centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.

With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Demonstrate conscientiousness on cost adheres to budget requirements; keep costs reasonable and contribute to staying within budget.
• Follow and adhere to safety and security policies and procedures. Report immediately any safety or security issues or concerns.
• Perform troubleshooting for service incidents and escalates, as appropriate, to meet SLA/OLAs, with minimal disruption to the client/customer and business.
• Recognize potential customer impact of other events and issues (e.g., customer lockdown), communicate potential impact, and plan for impact accordingly.
• Proactively review schedules and avoid conflicts when possible. Identify, coordinate, manage expectations, and offer alternatives when defining customer solutions.
• Manage relationships with clients and suppliers to ensure that all expectations are clarified, understood, documented, and met.
• Suggest ways for reducing the risk of performing maintenance; work with others to accommodate scheduling needs.
• In alignment with management priorities, hold self-accountable for the end-to-end service quality, completeness, and resulting customer experience (including but not limited to availability, safety, security, customer service). Support escalation of issues to appropriate owner.
• Embody our culture and values.

Qualifications

Required Qualifications:

High School Diploma or equivalent AND 1+ years industry experienceOR 2+ years industry experience and college course work.

Background Check Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

While not required, we also look for the following Preferred Qualifications:

• 2+ years’ experience in Critical Environment infrastructures (e.g., UPS, Generator, AHU) or working in physical IT infrastructures (e.g., Servers, SANs, Networking, Capacity, DC Rack/Enclosures, structured cabling).
• Technical College degree in Computer Science, Math, Telecommunications, Electrical/Mechanical Engineering, or related field.
• Applicable certifications: ASICS/Inventory Control, CompTIA, Microsoft, Network Certifications, PMP, ITIL, CDCP.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are seeking a Senior Data Engineer with 10+ years of experience in software development and expertise in Big Data technologies. The ideal candidate will work on designing, developing, and maintaining scalable data pipelines and analytics platforms to meet diverse business requirements.

Responsibilities:

Build and optimize large-scale data pipelines using Hadoop, Spark (Core, SQL, Streaming), and PySpark.

Manage and process structured and semi-structured data using Hive, Sqoop, Impala, and Kudu.

Develop and implement streaming data solutions with Apache Kafka.

Collaborate with cross-functional teams to understand technical requirements and implement data-driven solutions.

Perform data validation, quality checks, and recon reports to ensure high data accuracy.

Work on AWS services (S3, Glue, Athena) for cloud-based data workflows and analytics.

Translate legacy systems to open-source frameworks, leveraging technologies like Python and SQL.

Optimize performance and scalability for data processing and storage systems.

Utilize Java/J2EE, Hibernate, and Struts frameworks for backend application development.

Provide mentorship to team members and support in troubleshooting and debugging complex data issues.

Requirements:

Proficiency in Big Data ecosystems, Spark, Hadoop, and related technologies.

Strong experience with PySpark, data transformation, and aggregation techniques.

Hands-on with AWS services and cloud-native data pipelines.

Solid understanding of SQL, RDBMS, and data integration tools.

Expertise in Java/J2EE frameworks and application development.

Strong communication and problem-solving skills.

Responsible for collecting, organizing, and analysing data to support business decisions. The Data Specialist will work closely with various departments regionally to ensure data integrity and accuracy, as well as assist in developing reporting tools and dashboards.

Job Functions

• Assist in developing data-driven solutions in the region to enhance operational efficiency.
• Support business users for processes improvement with data scientific approach.
• Analyze user requirements and execute actions to improve business operations.
• Collaborate with team members for the purpose of collecting data and executing the company’s mission
• Train business users to promote data utilization in the region.

Knowledge and Skills

• 3 years increasingly responsible professional experience in supporting/managing complex data utilization in Data scientific field.
• Possess a Diploma or above
• Microsoft Certified: Azure Fundamentals
• Microsoft Certified: Power BI Data Analyst Associate
• Strong verbal, written communication and interpersonal skills
• Strong attention to detail with a problem-solving skill
• Excellent time management skills and ability to multi-task and prioritized work
• Customer centric mindset
• Self-motivated team player skills
• Experience of Power BI report design
• Experience of API with data lake such as MS Azure
• Experience of business process improvement with data scientific approach
• Experience in data governance and data security.
• Understanding of ERP data in sales activities (e.g SAP S/4 HANA SD, MM, FICO, CS)
• Understanding of CRM data (e.g SAP C/4 HANA)
• Basic computer skills such as MS Word, Excel, Email.
• Project management experiences and knowledge
• Business level Japanese proficiency to communicate with BI development team in Japan.

ROLES AND REPONSIBILITIES

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS along with Databricks' Delta Lake.

• Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

REQUIREMENTS

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 5-7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Hands on data migration (e.g. code migration from Information Power Center on premises to cloud version, data migration from Teradata/Oracle/PostgreSQL to Databricks)

• Proficiency in programming languages such as Python or Java for building data pipelines.

• 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.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus

Internal ref: S

Regards,

Lini

Recruitment Consultant

R22108463

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 leveraging the power of Big Data technologies to solve complex challenges? Join our team as a Data Scientist – Big Data, where you’ll work with cutting-edge tools to design and implement scalable, efficient, and reliable data solutions.

Key Responsibilities

• Big Data Solutions: Design and implement robust application solutions using the Hadoop ecosystem, including tools like Hive, HDFS, YARN, and Spark.

• Data Pipeline Development: Develop efficient data processing pipelines, leveraging HDFS file formats (e.g., Parquet, ORC, Sequence) for various use cases.

• Automation and Monitoring: Create automation scripts using Jenkins, Shell, or Python for builds, testing frameworks, and app configurations. Monitor system resource utilization using tools like Grafana to ensure optimal performance.

• Data Warehousing: Contribute to the development and maintenance of data warehousing systems, including data modeling and optimization.

• DevOps Integration: Implement CI/CD processes using tools such as Bitbucket, Jenkins, and Azure DevOps (ADO) for automated deployment and version control.

• Integration Services: Work with integration tools such as FileIT, MQ, or similar systems to enable seamless data flows.

• Control-M: Develop and manage scheduling workflows using Control-M and ensure efficient resource allocation.

• Collaboration and Problem Solving: Collaborate with cross-functional teams to identify and solve complex data challenges.

Qualifications and Skills

Required Experience

• 3–10 years of experience in:

o Big Data Ecosystem: Hive, HDFS, YARN, Spark (Spark SQL, PySpark), Scala, and Python.

o Scripting: Proficiency in Shell scripting and Python.

o CI/CD Tools: Jenkins, Azure DevOps (ADO), Bitbucket.

o Monitoring Tools: Grafana or equivalent.

o File Formats: In-depth knowledge of HDFS formats (e.g., Parquet, ORC, Sequence).

• Solid understanding of concurrent software systems, ensuring scalability, maintainability, and robustness.

• Experience in automation and building end-to-end scalable applications.

Preferred Skills

• Knowledge of ETL tools like Dataiku.

• Experience with Schedulers like Control-M.

• Familiarity with integration services like FileIT or MQ.

• Understanding of DevOps practices and tools suite.

• Java/REST Services/Maven experience is a plus.

WHAT YOU’LL LOVE ABOUT WORKING HERE

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

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

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

Disclaimer:

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

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

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

ABOUT CAPGEMINI

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

Get the future you want | www.capgemini.com

Job 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.

Job Summary

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Have experience with Big Data platforms such as Hadoop, Spark, and NoSQL databases
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Experience with distributed data technologies such as Spark, Hadoop;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

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

About Us:

We are passionate about face-to-face marketing. We believe in building relationships on trust and are committed to creating an environment where creativity and innovation thrive. Our team compromises dynamic individuals driven by a shared vision to build brands.

We are seeking the next upcoming individual who will join our team to drive sales. You will play a pivotal role in representing clients to build brand awareness, working closely with like-minded individuals.

Responsibilities:

• Develop Brand Awareness
• Execute Marketing Campaigns

Requirements:

• Team Player
• Eager to Learn
• No Prior Experience needed

Why Join Us:

You will be part of a vibrant and supportive team. We offer Travelling Opportunities, Career Growth, and Weekly Uncapped Earnings.

Role:
- Assist the team with the execution of events
- Actively representing clients in campaigns
- Manage and build your team

What we are able to provide:
- 1-1 Mentorship
- ​Transparent Career Advancement
- ​Positive and supportive company culture

Requirements:
- Desire for growth and development
- Open to learning
- Proactive team player

Apply now if you are the next big thing out there :)

We are looking for candidates to drive new businesses, to SUPPORT and to INTRODUCE new customers to our clients.

This is an EXCELLENT opportunity for you, if you’re looking to make a huge impact in a HIGH- GROWTH environment. If you thrive on ownership and functioning creatively and collaboratively with teammates, this is the role for you!

What you'll bring to the table:

- Good communication skills
- A love for regular human interaction.

- Self-motivated.

- If the word "NO" just makes you more adamant to succeed at something.

What we HAVE:

- Supportive team who coach and developing talented salespeople.

- Realistic goals and activity-based bonuses, with competitive commissions.

- Regular company and team social events.

If you have what it takes, then we would definitely like to speak with you!

Roles & Responsibilities

Are you driven and ambitious?

If so, we want you to be on our team as a Sales and Marketing Superstar!

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

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 the shortlisted candidates will be notified.

Email Address: [email protected]