Are you looking for a career in sales and marketing? Or always wanted that supportive environment to be the best version of yourself? Look no further!

Are you ready to combine your creativity with your business acumen? We’re looking for a dynamic and driven Events & Marketing Associate to join our growing team. If you’re passionate about driving results through innovative marketing strategies and building meaningful customer relationships, this is your chance to shine!

What You’ll Do

Collaborate: Work closely with cross-functional teams to align marketing campaigns with sales goals.

Spearhead: Get opportunities to lead a new project and expand our reach.

Grow: Manage & lead a team of professionals and visionaries to hit targets consistently.

Why You'll Love Working With Us

Transformative Culture - We value individuals who are passionate and innovative. You'll work in an environment whereby vibrant individuals and ideas shine.

Career Progression - We want to have more partners working alongside us. With defined stages of advancements, your trajectory will be precise.

Overseas Exposure - We believe everyone has the potential to explore, and these trips will gain you valuable insights on how to manage oneself and the team better.

If you're looking to kickstart your career with a fun and rewarding company, then we are the one for you. Apply now!

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Job Scope:
We are seeking for a Data Analytics Architect specializing in Azure and Databricks to design, develop, and manage cloud-based data solutions. In this role, you will be responsible for building scalable data pipelines, optimizing data architectures, and ensuring the efficient use of Azure and Databricks services. The ideal candidate will possess deep technical knowledge of Microsoft’s Azure ecosystem, Databricks, and related tools, with a solid focus on delivering high-performance data solutions.

Key Responsibilities:
Azure Architecture and Strategy:

• Design and implement Azure-based data architectures that are scalable, efficient, and aligned with business objectives.
• Develop a data strategy leveraging Azure Data Lake, Azure Synapse Analytics, and Azure Databricks for advanced data processing, storage, and analytics.

Databricks Platform Leadership:

• Lead the development of data pipelines and big data solutions using Azure Databricks, with a solid focus on leveraging Apache Spark for scalable data transformations.
• Optimize Databricks clusters for performance, cost management, and efficient resource utilization.

Data Integration and Extract, Transform, Load (ETL):

• Design, develop, and maintain robust ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks to ensure seamless data integration across various data sources.
• Lead the transformation of raw data into meaningful and actionable insights through PySpark or Spark SQL in Databricks.

Data Governance and Management:

• Implement and enforce data governance best practices using Azure Purview to ensure compliance, data quality, and integrity across the organization.
• Manage Azure Data Lake storage policies to ensure secure and scalable data management.

Performance Optimization:

• Continuously monitor and improve the performance of Azure SQL Database, Azure Synapse Analytics, and Databricks environments.
• Implement data partitioning, indexing, and other optimization techniques for fast and reliable data access.

Collaboration and Stakeholder Communication:

• Collaborate closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and provide tailored solutions.
• Communicate technical specifications clearly to both technical and non-technical stakeholders.

Team Leadership and Mentoring:

• Lead and mentor a team of data engineers in best practices related to Azure and Databricks platforms.
• Provide guidance on Azure DevOps practices, such as setting up continuous integration/continuous delivery (CI/CD) pipelines for automated data pipeline deployments.

Security and Compliance:

• Implement best practices for securing data at rest and in transit using Azure Key Vault, Azure Active Directory, and role-based access controls.
• Ensure compliance with data privacy regulations and internal security policies.

Job Qualifications:

• Degree in Information Technology or a related field.
• Extensive experience with Azure Data Services, including Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, and Azure Storage.
• In-depth knowledge of Azure Databricks for data engineering, including proficiency in Apache Spark, PySpark, and Delta Lake.
• Expertise in Azure Data Factory (ADF) for building complex data pipelines and integrating data from various structured and unstructured sources.
• Proficiency in designing and managing data lakes and data warehouses using Azure Synapse Analytics.
• Excellent experience with SQL, Python, and PySpark for building and optimizing data workflows.
• Proficient in Azure DevOps for implementing CI/CD pipelines and managing code repositories.
• Proficient in performance optimization techniques for Databricks and Azure SQL (e.g., partitioning, indexing, caching).
• Knowledge of cost optimization strategies for Azure resources, ensuring efficient use of cloud services.
• Demonstrated experience leading and mentoring data engineering teams.
• Good communication skills to articulate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Interested candidates can click apply for more information.

** We regret to inform that only shortlisted candidates will be notified. **

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141

Job Description:

As a Senior Architect specializing in Data Centers, you will play a pivotal role in the design and engineering of critical infrastructure systems. You will lead a team of engineers and collaborate with various stakeholders to ensure the successful delivery of data center projects.

Key Responsibilities:

• Design Leadership: Lead the design of data center infrastructure, including electrical, mechanical, and structural systems.
• Project Management: Oversee project timelines, budgets, and resources to ensure projects are completed on time and within budget.
• Collaboration: Work closely with internal teams, external consultants, and regulatory agencies to address design issues and meet project milestones.
• Quality Assurance: Ensure the accuracy and quality of design documents and specifications.
• Process Improvement: Drive continuous improvement in design processes and methodologies.
• Client Engagement: Partner with clients to understand their requirements and deliver solutions that meet their needs.

Requirements:

• Education: Bachelor's or Master's degree in Architecture or a related field.
• Experience: Minimum of 5 years of experience in data center design and engineering.
• Skills: Proficiency in design software such as AutoCAD, Revit, and other relevant tools. Strong project management and leadership skills.
• Certifications: Relevant professional certifications are a plus.
• Communication: Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with large-scale data center projects.
• Knowledge of industry standards and best practices.
• Ability to work in a fast-paced, dynamic environment.

If you are interested in this opportunity, please submit an application to this job with an updated CV detailing your relevant experience to this job ad or directly

Only shortlisted applicants will be contacted.

Reporting to the Head of Engineering, Chubb Life, the primary responsibility of the Principle Engineer - Data for Chubb Life is to cultivate data engineering skills and adopt new age data tools into Chubb Life to support the fast-growing business and customer needs. Concurrently, success will also be viewed in aligning Chubb Life approaches to Chubb Group’s overall target operating models. As Chubb Life operates an extensive matrix reporting structure, strong influencing skills are critical in ensuring all technology related services and deliverables are executed within business expectations.

You will form strong working partnerships with business and technology leaders, plan and implement data engineering programs, formulate data and analytics strategies for solving business problems.

You will have superb engineering, technical, business and communication skills to be able to work with functional leaders to define and prioritize key data needs and build data products & platforms.

Responsibilities

• Develop the vision for Chubb Life’s data engineering approach and drive the data engineering strategy in tandem with the data transformation program
• Accountable for the data pipelines and data platforms that support the business needs across Chubb Life businesses
• Build a data engineering organization and governance model that is business focused, proactive, and resilient
• Attract, hire, and retain top talent, creating an engineering culture that fosters innovation and collaboration
• Promote data governance and master/reference data management as a strategic discipline
• Implement strategies to monitor the effectiveness of data management
• Be an inspiring engineering leader, mentor, and coach, be an active member of the data leadership team
• Evaluate emerging data technologies and provide thought leadership to determine their business benefit and impact on the future-state data platform
• Manage and drive the relationships between Chubb Life Global and the Global Life teams across geographic locations, establishing the ongoing operating model
• Proactively engage with teams in market and global offices to design and execute on a roadmap for internal, partner, and client data solutions for the business
• Evolve the way the business thinks about the importance of data and show how a robust data strategy can drive substantial value to our customers and clients.
• Work with the Data Delivery functions to form a model that supports delivery at a strategic and tactical level to support speed to market and insights
• Work with Life Head of Data Transformation and the group Data engineering teams closely to achieve the ambitions of Life data

Core Competencies

• Customer focused, results and action oriented
• Excellent communication and interpersonal skills with the ability to actively engage staff and stakeholders, communicate vision, effectively communicate Data and Analytics concepts / solutions, and influence appropriately
• Strong time management and prioritization skills
• Well-developed delivery skills
• Change agent and appreciation of Agile principles and methodologies
• Demonstrated ability to drive business improvement and effectiveness via well designed data solutions
• Ability to proactively identify data-driven issues and opportunities, and use the appropriate level of technical acumen to drive solutions
• Ability to navigate and succeed in a large global enterprise
• Ability to set direction and participate in new initiatives when required, research, recommend and document modern technologies and processes that will provide benefits to the business
• Subject matter expert contributing to Chubb Life’s business and data strategy, ensuring the data architecture, infrastructure, methodologies, and tools employed are best practice and follow established governance processes

Additional Requirements

• At least 15+ years of experience in Software Development and/or Data Engineering Best Practices and development
• University qualification in computer science or equivalent data field qualification
• Proven experience in large multinational financial services industry, and previously held a data engineering leadership role
• In-depth experience in designing and implementing enterprise-wide cloud data and analytics platforms
• Hands-on architecture and delivery experience in large scale, cloud data management solutions
• Hands-on experience architecting and implementing large scale multi discipline master/reference data management, cloud data lake and analytics platforms
• Data technology literate with a detailed understanding of the modem data architectures and data analytics platforms
• Presentation and facilitation and design-thinking skills
• Ability to collaborate and communicate with executive level business leaders
• Insurance business domain, data/content and process understanding
• Knowledge of relational/object modelling, knowledge/graph modelling techniques
• Understanding of metamodels, taxonomies and ontologies
• Ability to assess rapidly changing technologies and apply them to business needs
• Good financial acumen and experience in planning and budgeting

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

Create unit tests throughout the data and algorithms domain:

 Work with engineering and business teams to implement wide-coverage unit tests

of data and engineered features at different stages throughout the data collection

and processing pipeline;

 Create unit tests of inputs to and outputs from the algorithms that drive the clinical

service;

 The unit tests include validation of the inputs and outputs of black-box machine

learning algorithms;

 Establish a regular process to execute the tests and document their outcomes as

a part of our product development and release lifecycle;

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs

and outputs:

 Implement a process of taking snapshots of data/features input into algorithms

necessary to recreate their outputs/predictions at any point in the past during the

service;

 Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

 Support the business and analytics teams in their daily and weekly delivery of

reports on data completion, user engagement, and algorithm actions by

addressing any data quality and validation requirements;

REQUIREMENTS

a) Bachelor's degree in computer science, engineering, business analytics, technology, or a

related field.

b) Minimum of 2 years of experience in data engineering, data analytics, or data product

management roles within the tech industry. Experience in healthcare is a plus.

c) Ability to implement tests in Python.

d) Good understanding of the validation requirements of an algorithmic product. Knowledge of

healthcare regulation and auditing requirements is a plus.

Founded in 2019 in Singapore, the Recoded Studio is stimulated to develop unique games that embrace beauty and simplicity. We are dedicated to creating long-term value for not only our players, but also our fellow team members.

We achieve this by encouraging individuality and teamwork so that each team member can take ownership in their own expertise while collaborating as a group to pursue a shared ideal of constructing the befitting environment that brings out wonderful game experiences to our players.

Our studio is currently looking for a Game Data Engineer to join our multi-talented team. The role will be responsible for designing, building, and maintaining the data pipelines, infrastructure, and tools that enable the analysis and optimization of player experiences, monetization strategies, and game performance. The Game Data Engineer will report to the Marketing Manager and work closely with other stakeholders (e.g. Game Designers, Server team etc.) to transform raw game data into actionable insights that drive business and game development decisions.

RESPONSIBILITIES:

Data Pipeline Development

• Design, develop, and maintain scalable, efficient, and reliable pipelines to process large volumes of game and player data.
• Optimize data processing workflows to ensure high performance and low latency for real-time data needs.

Database and Infrastructure Management

• Develop and manage databases to store and organize game and user data effectively.
• Implement robust data warehousing solutions to facilitate easy access to aggregated data.
• Ensure high availability and reliability of data systems.

Collaboration and Integration

• Work closely with the Marketing Manager, Game Designers and Server team to understand data requirements and deliver tailored solutions.
• Collaborate with respective teams to ensure seamless integration of data pipelines with gaming backends and other systems.

Data Quality and Governance

• Implement data validation and quality assurance processes to ensure the accuracy and consistency of data.
• Develop and enforce data governance policies to maintain compliance with data privacy regulations.

Performance Monitoring and Optimization

• Monitor data systems and pipelines for performance and troubleshoot issues proactively.
• Continuously refine and optimize processes to improve efficiency and scalability.

Exploration and Innovation

• Explore emerging technologies and best practices in data engineering and gaming analytics.
• Develop proof-of-concepts to experiment with new tools and frameworks that enhance the data infrastructure.

QUALIFICATIONS:

• Familiarity with MMP (otherwise willing to take initiative and learn from documentations on MMP sites)
• Bachelor's degree in a quantitative-related field such as Mathematics, Statistics, Economics, Computer Science etc.
• 2+ years of experience in data engineering or analysis roles, preferably in the gaming industry.
• Strong proficiency in SQL, data visualisation tools (such as Tableau or Power BI), and Excel.
• Strong problem-solving and analytical skills, with attention to detail.
• Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced and iterative development environment.
• Experience with statistical analysis and machine learning techniques.
• Passion for games and a deep understanding of game mechanics and player behaviour is a plus.

If you are a driven and analytical individual with a passion for games and a desire to make an impact in the gaming industry, we would love to hear from you!

How to apply?

Candidates can apply directly to Recoded on the MyCareersFuture platform. Please include your updated resume.

Applications will be treated in the strictest confidence, where all personal data collected will be kept confidential and only used for recruitment purposes.

Thank you for your interest & time in applying to Recoded! We apologise that only shortlisted candidates will be contacted.

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg.

We are seeking a Data Engineer to join our team.

You will be part of a data team deployed at a government agency identified as a strategic partner for GovTech, building out data products critical to WOG’s ops and service delivery as identified under the Digital Government Blueprint (DGB2.0) programme. You would operate in close alignment to Data and AI Practice's approach and philosophy, and would be closely supported by central GovTech products and platforms teams. This role requires an individual with experience in cloud-based data engineering work, as well as good communication skills, as you will be expected to interact frequently with the partner agency's users to elicit useful business information that enables you to perform your job.

What you will be working on:

• Translate data requirements from business users into technical specifications.
• Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team:
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases\
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform.

Preferred requirements:

• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with Databricks.
• Experience with implementing technical processes to enforce data security, data quality, and data governance.
• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programmes.

We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.

Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

Stay connected with us on social media at go.gov.sg/ConnectWithGovTech.

Job Description & Requirements

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.

We are looking to speak to Data Engineers with experience in the Crypto Industry!

You will design and deploy resilient data infrastructure that converts raw data into valuable insights. Your role will involve creating scalable data pipelines and models that support key decision-making across the organization. Your expertise will be essential in establishing data governance practices and ensuring the integrity, accessibility, and dependability of data across our systems.

Responsibilities

• Design & Build: Develop and maintain scalable data pipelines, efficient ETL processes, and robust data warehousing solutions to manage complex data needs.
• Optimize & Scale: Enhance data infrastructure performance, implement data quality protocols, and create automated monitoring systems for proactive issue detection.
• Empower & Enable: Collaborate with product, engineering, and go-to-market teams to deliver data-driven solutions that provide actionable strategic insights.
• Rapid Response: Respond swiftly to time-sensitive data requests and ad-hoc queries, delivering critical analyses and data solutions with urgency while ensuring precision and reliability.

Requirements

• Experience: Over 7 years of hands-on data engineering expertise.
• Data Architecture: Extensive experience in data modeling, data warehouse design, and implementing ETL best practices.
• Technical Mastery: Advanced proficiency with modern data stack technologies, including Snowflake, Airflow, DBT, and AWS.
• Systems Thinking: Strong background in distributed systems, data streaming technologies (Kafka, Kinesis), and optimizing large-scale data workflows.
• Agility: Demonstrated ability to quickly address urgent data requests and deliver timely solutions to critical business needs.

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.

Website: www.sanderson-ikas.sg

Admin Coordinator:

We are recognised in the industry for our expertise in Security System field of the highest quality. Dedicated to providing reliable, timely, excellent and safe work concept to our clients. Hence, we are seeking experienced and professional individuals to join our enthusiastic team!

Job Description:

• Manages the end-to-end daily workers and drivers’ job allocation/ day to day operations and schedule
• Coordinate actively with other colleagues, for the job tasks from multiple locations.
• Coordinate sales team and other office staff by managing schedules and communicating relevant information
• Be flexible and ready to plan a good arrangement informed by last minute
• Work closely with internal departments
• Handle and ensure the processing of all arrangements with accuracy and timeliness
• Able to work under pressure
• Other ad hoc duties

Requirements:

• Applicants need to be able to work overtime
• Must have working experiences in Singapore
• Minimum 2 year of experience working as a Coordinator/ Support/ Administrator
• Can start work immediately or at a short notice is an added advantage
• Meticulous and Good communication skills
• Possess strong inter-personal and communication skills and be able to work well with people at all levels in the organization

Other Information:

• Location: Kaki Bukit
• Working hours: 9am to 6pm (Alternate Saturday)

Resumes please INCLUDE:

• Personal particulars
• Education background
• Work experiences in point forms
• All reasons for leaving
• Current and expected salary
• Date of availability / Notice Period

Interested applicants are invited to send your updated resume via Apply Now. We regret that only shortlisted applicants will be notified.

Responsibilities:

• Prepare and resubmit shop drawings following consultant comments.
• Attend safety and site coordination meetings.
• Schedule material deliveries and monitor progress.
• Ensure compliance with project specifications and workmanship standards.
• Conduct site testing, commissioning, and prepare as-built drawings and manuals.

Requirements:

• Diploma in Electrical Engineering or it's equivalent
• Minimum 2 years of experience in a related field.
• Ability to supervise subcontractors/suppliers and manage tight schedules.
• Able to work in a team

Interested candidates who wish to apply for the advertised position, please click 'APPLY' to submit your application or send in your resume to [email protected]

EA License No: 13C6305

Reg. No.: R1874608

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

About Us!

The mission of Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB aims to be data-driven to the core and adopt evidence-based decision making in developing better housing policies service, improving service delivery and optimising operations.

What Will You Do?

As a data engineer, you will play a key part in helping HDB begin its journey to be data-driven to the core. In this role, you will assume the following responsibilities:

• Create and maintain data architectures that meets the needs of HDB.

• Build and maintain data platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.

• Improve discoverability and distribution of analytical data to data analysts and data scientists.

• Implement best practices in data security throughout the lifecycle of analytical data.

You will be a Great Fit if you:

• Background in Information Systems (IS), Computer Science or related field in a reputed institution.

• 3 years relevant experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines is preferred.

• Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).

• Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow

• Knowledge of the latest developments in data engineering and best practices in data management.

• Knowledge of analytical tools is an advantage e.g., SAS Viya, Tableau, PowerBI, Amazon SageMaker, ArcGIS Pro

• Knowledge in cloud computing, design and development is an advantage e.g., AWS, Azure, GCP

• Knowledge of cloud technologies in data platforms is a plus e.g. Snowflake, AWS Redshift, Google BigQuery, Azure Synapse.

• Strong project management and organization skills.

• Possess an eagerness to learn and impart new skills.

• Be a good team player.

Good to Have:

- Great Attitude to bring the best out our team

- Team Player; we work together as a team

- Possess an eagerness to learn and impart new skills

- Autonomous & Take ownership

Fresh graduates are welcomed.

Successful candidates will be offered a 1+1 year contract in the first instance. Conversion to perm is dependent on good performance.

Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers

Please apply for the job through the Careers@Gov job portal as linked:

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/15360615/bd622d52-6b55-1eef-acdd-9a6efdfa2206

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 Scope:

• Design and develop an extract, transform, load (ETL) ingestion & transformation using Azure Data Bricks (Pyspark - Notebooks) & Azure Data Factory (ADF).
• Design and implement a data storage solution using Azure Data Lake.
• Migrate on-prem SQL data warehouse to Azure Synapse (Azure SQL DW).
• Engage and collaborate with customers to understand business requirements and translate them into detailed technical specifications.
• Involve in data modeling and designing the solution for entire Business Intelligence Warehouse.

Job Qualifications:

• Degree in Computer Science or equivalent.
• Solutioning and hands-on experience in Azure Synapse, Azure Data Factory or similar toolset.
• Basic knowledge of DB2, MSSQL, cloud infrastructure and security.
• Experience in troubleshooting and resolving data migration issues.
• Experience in managing data cleansing activities, analysis, tracking, and stakeholder management.
• Experience in integrating data from multiple sources to produce requested or required data elements.
• Demonstrated professional experience in data mining, analysis and modeling of large-scale complex data sets.
• Exceptional written and verbal communication and presentation skills.

Interested candidates can click apply for more information.

** We regret to inform that only shortlisted candidates will be notified. **

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

Working Day: Monday - Friday (9am-6pm)

Location: Tuas Crescent

Salary: $1,800 - $2,000 + Bonus

Requirement:

At least 1 year relevant experience

Job Scope:

1) Administrative Tasks:

• Handling data entry, filing, and record-keeping.
• Typing reports, letters, and other business documents.
• Sorting mail and responding to it or distributing it to appropriate employees.
• Fulfill other administrative ad hoc duties as requested by staff members

2) Document Management:

• Processing and managing documents such as invoices, purchase orders, and contracts.
• Provide general support on documentation.

3) Manage Communication

• Answering telephone calls and emails.
• Redirecting calls or messages to the relevant employees when appropriate.
• Respond to emails professionally and promptly

4) Supporting Office Operations:

• Maintaining an organized filing system.
• Restocking office supplies as needed.
• Arrange travel / event / servicing / maintenance (e.g., booking flights, taxis, hotels, and restaurants).
• Prepare necessary documents for meetings and create travel itineraries
• Support Marketing executive on planning, schedule and orders.

5) Daily Housekeeping

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

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

Job Responsibilities

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

Requirements

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

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

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Just ORD-ed or graduated and looking to kickstart your career? Join us at Euphoria! We are a sales and marketing powerhouse which partners with well known clients to generate revenue for them. If you love tackling challenges with a smile and thrive in a lively environment, we want you to be part of our adventure!

Why Us?

Transformative Culture - We foster an environment where passion and innovation thrive. You'll work alongside vibrant & forward-thinking individuals who are committed to making a difference.

Career Growth - Your success is our utmost priority. With clear-cut stages of advancements and trainings, your progress trajectory will be defined and limitless.

Take To The Skies - We never limit ourselves locally. Gain exposure by going on different trips globally and getting insights on how to further grow oneself.

What You'll Do

Sales - Drive numbers up and achieve monthly & quarterly targets.

Grow - Manage a team of visionaries to develop and execute different marketing strategies.

Lead - Take up new clients and projects, be the face of them to assist with onboarding processes.

Ready To Make Your Mark?

If you're ready to join a team that values your expertise, celebrates your achievements and allows you to maximise your potential, apply now and become a part of Euphoria!

Information

1. Salary range: $2,500 - $3,500
2. Mon-Fri, 8:30 am–5:30 pm

Responsibilities:

• Provide sales and technical support to new and existing customers.
• Maintain good customer business relationship.
• Provide support to Outside Sales Team and work closely to achieve the sales target.
• Handle sales enquiries and prepare quotations in the timely manner.
• Monitor and update status of sales quotes and proposals.
• General sales administrative duties.
• ITE/Diploma in Chemical/ Engineering/ Mechanical/ Mechatronics discipline.
• Experience in Mechanical Instrumentation & Controls will be at advantage.
• Entry level candidates are welcome to apply.

Interested applicants, send in your updated resume by clicking “Apply Now”.

Lin Weikang
EA Personnel No: R21102570
EA License No: 23C1894

whatsapp: 85986715

职位：摩托车店员

薪水：，综合薪水4000+

工作时间8：30-17：30，五天半工作制，月休6天

要求：有店员经验

地点：AMK PK2

Position: Motorcycle shop clerk

Salary: , comprehensive salary 4000+

Working hours are 8:30-17:30, five and a half days of work, and 6 days off per month

Requirements: Experience as a sales clerk

Location: AMK PK2

Jie Shun Jia | EA License No.: 24C2410 | EA Registration No.: R24124440 (FENG YINGJIE)

Job Description

• Industry/ Organization Type: Wholesaler
• Position Title: Invoice Billing Clerk
• Working Location: Pasir Panjang
• Working Hours: 5.5 days (Mon - Sat, 830am - 530pm; Alternative Saturday)
• Salary Package: Basic salary up to $3,000 + OT + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Prepare and send out invoices to clients accurately and promptly
• Collect and process orders from call-in customers, ensuring order details are accurately recorded and communicated
• Monitor outstanding balances and follow up on short credit term customer.
• Assist with reconciling billing discrepancies and resolving issues.
• Maintain accurate records of billing transactions and update customer accounts.
• Collaborate with the accounting team to ensure smooth billing processes.
• Handle customer inquiries related to billing and orders.

APPLY NOW!!!

• Completion of GCE 'O' Level or possess basic accounting knowledge.
• 2 years of experience in a similar role.
• Attention to detail and accuracy in handling financial data.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71130 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131