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.

At least 8 years of working experience in Test Automation, using test frameworks for Database (ETL Testing) and Data analytical testing.

• Working knowledge in testing Data management platform tools same-as/similar-to ‘Golden Source’

• Sound knowledge in Java programming, SQL queries and Cucumber (Java) testing framework.

• Good knowledge in testing scheduling/orchestration tools (like Control-M, Azure Data Factory)

• Working knowledge of relational databases and comfortable with testing SQL jobs and stored procedures with awareness of data security.

• Basic understanding of data quality, profiling, and analytics concepts.

• Working experience with test management tools such as Jira with Xray / Zephyr

• Working knowledge of tools such as bitbucket, Jenkins, confluence and familiar with Git branching model

• Working experience in Agile projects, Behavior Driven Development (BDD) approach to software development and testing.

• Good to have basic programming knowledge in Python

• Good to have knowledge of Azure cloud platform.

• Good to have working experience in investment Bank or Asset Management industry.

Key Responsibilities:

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Create interactive dashboards and visualizations using Power BI, Tableau, or similar tools to effectively communicate findings
• Evaluate and improve data quality, ensuring the accuracy and consistency of datasets
• Present insights and recommendations to management in clear, concise, and impactful formats

Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• At least 2-3 years of work experience in data analytics, database management or statistical analysis or a related field
• Familiarity with F&B or retail industry analytics is an advantage
• Strong data visualization skills using tools such as Tableau, Power BI, or equivalent
• Advanced proficiency in Microsoft Excel; experience with SQL, Python, or R is a plus
• Strong analytical, curious, business-oriented and written/oral communication skills, capable of presenting technical information to nontechnical stakeholders, and the ability to interpret complex datasets
• Attention to detail and a commitment to delivering high quality work

Prefer to be working in a FUN, YOUNG and DYNAMIC team?

We are Expanding and We want you !

WHAT DO WE DO :

With our proven in-house training program, we empower clients to boost their sales revenue and brand visibility through engaging several marketing channels. This involves identifying potential customers, showcasing in-depth product knowledge, and fostering face-to-face interactions with clients and customers

HOW CAN WE EMPOWER YOU :

• Tested and proven suite of solutions/strategies for you to empower your customers
• Positive, Exciting & Supportive Work Environment. Work Hard , Play Harder !
• Personalised 1-on-1 Training and Development
• Buddy support system
• Opportunities for Personal Development (Interpersonal, Understanding of different personalities and more)
• Clear Career Advancement Pathways
• Travel Opportunities (3-4 times a year based on performance)

WHAT WE WANT FROM YOU :

• No Prior Experience Required
• Eagerness to Learn and Grow
• Strong Communication Skills
• Team Player Mentality

About Us:

We are a leading player in the sales and marketing industry, specializing in face-to-face channels to market products for multinational clients.

Responsibilities:

• Engage with customers in face-to-face interactions to promote our clients' products
• Learn and implement effective sales techniques and strategies
• Collaborate with team members to achieve collective goals

Good to have:

• Good Interpersonal skills
• Must be team-oriented and willing to work in a fast-paced environment
• Positive learning attitude

Benefits:

• Specialised 1-to-1 coaching
• Opportunities for career advancement based on performance
• Travel opportunities and fun team-building activities

Join us in shaping the future of sales and marketing. Apply now and become part of our success story!

Role: Software Consultant

Experience: 10+ Years

Technical Skills:

ETL Tools : Informatica Power Center 9.1/10.5, IBM WebSphere DataStage 8.0.1/9.1.2PX

Programming Languages : SQL, PL/SQL

Big Data Tools : HDFS, Hive, Hue, Sqoop, Spark

Operating Systems : Windows, UNIX, Linux

Scripting Languages : UNIX, Shell Scripting

Databases : Oracle, Netezza, AS400

Decisioning and Analytics Tools : CMDS, SDS

Tools : BMC Remedy, Control-M, JIRA, Aldon, DevOps (CI/CD), SQL Developer, Toad

Key Responsibilities:

• Participate in end-to-end projects for system implementation of MLS system

• Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security, and control standards

• Liaise with application teams across group and countries build the enhancements according to the technical solution plan

• Coordinate with Technology Delivery Manager and System Analyst to plan technical deliverables and schedule, perform design and development works to meet project requirements, and produce technical documents

• Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

• Perform data profiling, cleansing, transformation and validation to ensure data quality and integrity throughout the shell scripts and ETL pipelines

• Test, maintain and recommend software improvements to ensure strong functionality and optimization

• Create and maintain technical documentation, including ETL specifications, data mappings, data dictionary, process workflows, data ownership and error handling procedures

• Implement project change request and in accordance with deployment schedule

• Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing with quality result

• Facilitate and provide technical and testing support before and after production deployment

• Collaborate with cross-functional teams, such as data scientists, analysts, and business users, to understand their data requirements and provide support as needed

• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform sanity testing and unit testing

• Liaise with other units across IT and Business in the organization

• Manage external vendors for project delivery within schedule,

· Analyzing the impact for the existing models

· Analyzing business functions and process descriptions

· Product and application mappings creation

· Migration and Conversion of Citi history data to existing UOB data marts using ETL tools.

Generating Reconciliation reports

Key Requirements:

Must Have

• Bachelor's degree in computer science, information technology, or a related field

• At least 8 years of experience and knowledge in Control M, Unix Shell Scripting, and SQL

• At least 8 years of experience and knowledge in deployment process, create, manage and maintain CICD from source code repository, version control, code merge to deployment and housekeeping

• At least 6 years of experience in Hadoop, Hive, Hbase, HDFS and Data Engineering

• Experience in Bitbucket, Git, Jenkins, Artifactory and Aldon

• Experience in JIRA, Remedy and Incident Ticket management

• Ability to multitask effectively and handle large amounts of data

• Highly driven, pro-active and a strong team player

• Excellent interpersonal skills and written and verbal communication skills in English

Good to Have

• Experience in , Java, NoSQL

• Experience in System Interfaces (SFTP, FTP, Connect Direct, API, Rest)

• Experience in Confluence and SharePoint

Role & Requirement:

• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Finance domain knowledge.
• Problem solving and logical thinking.

SKILLS: Oracle, PlSQL, UAT, SQL, DATA ANALYSIS,

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Unlock Your Potential with Us!

Are you ready to grow both personally and professionally? We are seeking motivated individuals with a resilient attitude to be part of our clients' marketing campaigns in ASEAN.

Responsibilities:

- Assist in developing and implementing marketing plans to

support our products/services.

- Coordinate marketing activities, including events, promotions, and campaigns.

- Identify target audiences and consumer insights.

Requirements:

- Strong communication and organizational skills.

- Ability to multitask and prioritize tasks in a fast-paced

environment.

- Hardworking and willing to learn.

- Able to work independently or as a team.

Benefits:

- Opportunities for professional growth and development.

- Positive and collaborative work environment.

- Travelling exposure and opportunities

Apply now to find out more! Only shortlisted candidates would be notified

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

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.

Data Entry Clerk | Penjuru (moving to Senoko in 2025)

Basic Salary - $1800 to $2100
Working Days - Mon to Fri + alt sat (8.30am to 5.30pm/8.30am to 12.30pm)
Working Location - Penjuru rd (moving to Senoko in 2025)

Jobscopes:

• Order processing - to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Any other ad-hoc duties

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Responsibilities:

• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Frontend Developers, UX Designers and Data
• Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Bridge the gap between engineering and analytics.
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Work closely with fellow developers through pair programming and code review process

Requirements:

• 3+ years of experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation
• Proficient in general data cleaning and transformation (e.g. pandas, pysparks, SQL)
• Knowledge in database design and various databases (e.g. structured dbase(postgres, mysql etc and unstructured -mongodb etc)
• Knowledge about system design, data structure and algorithms
• Knowledge with rest api and web requests/protocols in general
• Comfortable coding in at least 2 scripting language (eg. Python/SQL)
• Comfortable working in both windows and linux development environments
• Interest in data engineering in a big data environment using Cloud platforms (i.e. AWS, Azure, Google Cloud)
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse.

www.dadaconsultants.com

EA Registration Number: R21103926

Data provided is for recruitment purposes only

Business Registration Number: 201735941W

Licence Number: 18S9037

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and wellbeing of Singaporeans across the life course.

Job Description:

We are seeking for a highly motivated individual to take on the functional role that combines data management and data science skills for OMOP data curation & data analytics of Integrative Adolescence Research Programme (IARP).

Job Responsibilities:

• Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation (HDR UK CaRROT mapper).
• Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
• Perform advanced analytics atop the OMOP Common Data Model for population-level analyses and data visualizations

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (Python, R).
• Knowledge/experience on OHDSI OMOP framework and regulatory data submissions.
• Good team player and communication skills for collaborative research.
• 0 to 3 years' experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and wellbeing of Singaporeans across the life course.

Job Description:

We are seeking for a highly motivated individual to take on the functional role that combines data management and data science skills for OMOP data curation & data analytics of Integrative Adolescence Research Programme (IARP).

Job Responsibilities:

• Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation (HDR UK CaRROT mapper).
• Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
• Perform advanced analytics atop the OMOP Common Data Model for population-level analyses and data visualizations

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (Python, R).
• Knowledge/experience on OHDSI OMOP framework and regulatory data submissions.
• Good team player and communication skills for collaborative research.
• 3 to 5 years' experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

An exciting opportunity has arrived at The Garcha Group, Singapore’s boutique hotel group currently with the following hotels:

- Maxwell Reserve, Autograph Collection Hotel (Marriott);

- Duxton Reserve, Autograph Collection Hotel (Marriott);

- The Vagabond Club, a Tribute Portfolio Hotel (Marriott);

- The Serangoon Club, a Tribute Portfolio Hotel (Marriott).

Garcha Group Benefits:

- As an associate of a Marriott hotel, you, your parents or parents-in-laws, children, spouse/domestic partner and siblings are eligible for discounts on F&B and room rates in 7,000+ hotels world-wide.

- As an associate of a Marriott hotel, you have access to the “Global Learning + Development” tool which creates for you personalized learning experiences designed to help you thrive in their Marriott career journey. (see attached for full Marriott benefits)

- 2 nights yearly staycation including all meals and beverage (incl. alcoholic) in any of the 4 Garcha Group hotels in Singapore.

- 20% off Food/Alcohol Bill at all Garcha Group restaurants and bars

Job Description:
- Updating inventory count and maintaining inventory records to share with management and other stakeholders in the business
- Keep accurate and up-to-date records of all purchases, including prices, quantities, and delivery dates. Ensure that all information is documented and easily accessible for reference and reporting purposes.
- Conduct market research to identify new suppliers, products, and technologies. Stay updated on market trends, price fluctuations, and industry regulations to make informed purchasing decisions. Compare prices, quality, and delivery terms to select the best suppliers for the organization.
- Monitor stock levels and anticipate future needs. Coordinate with the warehouse or inventory team to ensure optimal inventory levels are maintained. Recognize potential stock shortages or excesses and take appropriate action to address them.
- Assist in developing and monitoring departmental budgets. Ensure that purchasing activities align with approved budgets and financial guidelines. Identify cost-saving opportunities and propose strategies to optimize procurement processes.
- Prepare regular reports on purchasing activities, including expenditures, savings, and supplier performance. Generate reports for management review to provide insights and support decision-making processes.

Skills:

- Ability to accurately process and maintain detailed records and documents.
- Capable of managing multiple tasks simultaneously and prioritizing work effectively.
- Able to communicate clearly and professionally with suppliers, vendors, and internal stakeholders.
- Proficient in negotiating favorable terms, conditions, and prices with suppliers.
- Capable of conducting market research and analyzing data to make informed purchasing decisions.
- Experience with procurement software and systems to manage purchase orders, track inventory, and generate reports.
- Familiarity with procurement policies, procedures, and industry standards.
- Skilled in identifying and resolving issues related to purchasing, such as delivery delays or quality concerns.

Multiple locations available

- Pioneer

- Tai Seng

- Hougang

- Kallang

- Ang Mo Kio

- Loyang

Gross Salary

Full-Time : S$3,000/Month

Part-Time : S$135/Day

Working Hours

- 12 hours shift

- Alternate 5 and 6 working days per week (24 working days)

- Rotating shift (0800hrs - 2000hrs and 2000hrs - 0800hrs)

Requirement

- Valid SO license

- 1 notification available

- Ability to perform intermittent patrols and escorts

- Proficient in using a mobile app for reporting

- Access control and safeguarding premises

SRS provide comprehensive medical and leave benefits. If you are interested in this role, please submit your resume via the "Apply Now" option.

Roles and Responsibilities:

• Lead the complete lifecycle of data exchange projects, ensuring thorough planning, execution, and ongoing maintenance
• Define project parameters, goals, and expected results in partnership with stakeholders
• Develop and oversee detailed project schedules, budget estimates, and progress benchmarks
• Ensure efficient allocation and coordination of project resources, tasks, and activities to meet deadlines
• Proactively address and strategize against potential risks and obstacles to keep project momentum
• Apply expertise in data exchange technologies such as web services, RESTful APIs, XML, JSON to enhance process efficiencies
• Implement strategies for data mapping, transformation, and validation to ensure the integrity and accuracy of data
• Serve as the main contact for project stakeholders, offering updates and solutions to maintain project alignment and satisfaction
• Facilitate clear and effective communication, organizing stakeholder meetings and workshops to align project goals and requirements
• Leverage sector-specific knowledge, especially in manufacturing, to adapt data exchange solutions that align with business needs and goals
• Fulfill all other duties as assigned by management

Requirements:

• Bachelor’s degree or higher in IT, Computer Science, Engineering, or a related field
• Minimum 3 years of IT project management experience, emphasizing data exchange and integration, with a preference for manufacturing sector experience
• Proficiency in web services, RESTful APIs, XML, JSON, and related data formats
• Experience with integration platforms, middleware, and ETL tools
• Strong communication, collaboration, and stakeholder management abilities

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.