The Mechanical Engineer is responsible for the engineering and delivery of mechanical and structural aspects of construction under direction from the Construction Manager. Their activities will involve coordinating design and construction efforts, resolving on site engineering issues and planning and tracking productivity targets.

Key responsibilities and accountabilities

Technical

• Design, integration & coordination, installation & commissioning of mechanical systems and services required for the project
• Liaise with Construction/Installation Manager to ensure job is on schedule on Site.
• Liaise with Client on all technical aspects of the project.
• Provides engineering advice for the Construction/Installation Team.
• Attends meetings with client on all disciplines of the work (i.e. 1 etc.) as required.
• Prepares with the Quality Manager all Inspection and Test Plans and associated Project Specific Procedures.
• Ensures that the quality requirements of the client are adhered to and that company procedures are followed.
• Coordination & integration of the design with other engineering design disciplines & services
• Ensure project timetabling requirements are met
• Development / production of inspection & test and operating & maintenance manual documentation.
• Ensure local regulatory and OHS requirements are maintained
• Ensure that the surveys of installations throughout the project are conducted in a professional manner with all results being reviewed and accepted by UGL. All actions resulting from these surveys are coordinated by the Engineer until completion.
• Provides written reports on engineering activities as required by the Project Manager.
• Mentor Engineering Graduates and Engineering Vacation Students (Engineering Assistant)
• Maintain documentation and registers
• Provide monthly reporting data to the Engineering Manager as required

Safety

• Undertake all responsibilities in a safe manner.
• Ensure a safe working condition is present for all employees, contractors and visitors.
• Participate in daily pre-start meetings.
• Use appropriate personal protective equipment and safety systems such as job safety analysis, pre-work checklists and risk assessments.
• Comply and have input into safe working procedures.
• Report hazards, incidents and accidents within company guidelines.
• Assist with safety sections for reports, tenders and proposals.
• Actively participate in safety training.

Other

• Prepare and implement Workpacks, including ITPs
• Detailed planning and engineering of works
• Procurement of suppliers and subcontractors
• Subcontractor and Supplier Management
• Monitor, control and update program and productivity metrics
• Enthusiastically and co-operatively undertake all site inductions as requested by the client.
• Proactively continuously monitor and evaluation systems and procedures specific to site works to ensure that they are up to date, compliant and up-to-date in line with best practice.
• Actively participate in regular learning and development programs to continually enhance and further develop skills and continuously improve capabilities and performance.
• Portray a professional approach at all times through attitude and appearance.
• Ensure that work space is well managed, tidy, organised and safe.
• Comply with all UGL systems and processes and expected behaviours and standards.

Qualifications and Education Requirements

• Mechanical Engineering Qualification.
• Minimum 5 years’ experience in project related disciplines.
• Significant engineering experience throughout, design, construction and commissioning on Brownfields and Greenfields projects.
• Technical experience includes; rotating equipment, static equipment, GE equipment, materials selection, hydraulic systems, pipelines and piping components
• Strong communication skills (oral & written) including strong negotiation and influencing skills and the ability to establish effective working relationships with a variety of people at different levels both internally and externally.
• Demonstrated ability to work independently to organise and prioritise demands, handle multiple complex tasks simultaneously, set and meet deadlines and follow-through within a fast paced environment with multiple and competing demands
• Proficient skills in computers: MS Word, Excel, Access, Outlook
• Leadership ability

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning and humidification system solution serving high tech industry.

Responsibilities:

· To Conduct assessments of hvac designs to ensure that they meet the required specifications and standards within allotted timeline.

· To verify and prove that hvac systems in data centre build and function according to the requirement.

· To execute, lead n manages the commissioning process across all projects, from start-up, designing, construction, acceptance, functional performance and systems testing to operational turnover.

· Management of 3rd party commissioning agents, supplier, contractor, client to resolve any issues on site

· To perform project closeout and handover

· To produce Commissioning Report for each project.

Requirements:

· Diploma in Mechanical Engineer or related disciplines.

· 3 years’ experience in hvac data centre of commissioning management or hvac data centre design management

· Proficient in data centre safety and industry standards

· 3 years’ experience in physical M&E equipment in data centre (especially hvac0

· Speaks and write 2 languages.

Please email your resume ( in word document )to [email protected].

We regret only shortlisted candidate will be notified.

We are looking for contract role in the Client Data Chapter, as a Data Modeler, who will work closely with our data architects, data analysts, and business stakeholders to understand their data requirements and translate them into logical and physical data models.

As data is deemed as a strategic asset for Bank of Singapore, this candidate should be a thought leader who will understand and solve identified business problems from curated datasets.

If you have a strong interest and the knowledge in using analytical tools to drive quality assurance, are passionate about driving data quality and process improvements, and have a knack for problem-solving, this is the opportunity for you.

Join our team as a Data Modeler and play a key role in designing and implementing data models that support our organization's data-driven initiatives. You will also be responsible for ensuring the accuracy, completeness, and consistency of our data models, as well as maintaining their documentation and metadata. Your expertise in data modelling tools and techniques, as well as your ability to communicate complex data concepts to non-technical stakeholders, will be critical to the success of our data-driven projects.

You will support the Client Data Owners and the Client Data Steward in the following:

MAIN DUTIES:

• Develop and maintain complex data models for business data analysis and reporting purposes.
• Collaborate with stakeholders and cross-functional teams to understand data requirements and design Client Data model for the new Client Lifecycle Management System that align with business needs.
• Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes.
• Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
• Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
• Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
• Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our client data modelling processes.
• Ensure appropriate and confidential handling/sharing of sensitive client data
• Identify red flags and escalate in line with policy and procedures
• Ensure timely follow-up and/or escalation to stakeholders
• Responsible for completing delegated and ad-hoc tasks within the established timeframes.

Requirements

• Bachelor’s or master’s degree in computer/data science technical or related experience.
• Strong understanding of SQL and data modelling concepts
• Proficiency in data modelling tools such as Erwin or PowerDesigner.
• Experience in designing and implementing database structures.
• Ability to create and maintain conceptual, logical, and physical data models.
• Familiarity with data warehousing and ETL processes
• Knowledge of industry best practices for data modelling and database design
• Ability to collaborate with cross-functional teams to gather and analyse data requirements.
• Experience in performance tuning and optimization of database queries.
• Strong analytical and problem-solving skills
• Clear communicator, with the ability to articulate ideas with data.
• Fine eye for detail with the ability to work with structured and unstructured data, including internal and external data.
• Experience with operating in a corporate environment and stakeholder management.
• Prior exposure to wealth management, asset management or portfolio management is a plus.
• Strong results driven personality with an innovative spirit.

Senior/Analyst – Research & Data Analytics

Our client is building a Data Analytics and Research team. It's a great opportunity to provide actionable insights that inform organizational strategy and decision-making.

The Responsibilities:

• Lead, conduct in-depth research and data analysis initiatives
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into intelligence that is actionable
• Design and develop databases, spreadsheets, and analytical tools for data tracking and interpretation
• Identify and uncover new insights, trends & patterns, and communicate and discuss with key stakeholders
• To build sustainable processes and constructs models to support the expanding data volumes and ensuring data quality & accessibility
• Regular review and validate for continual improvements and ensure the business value has been met

The Requirements

• Bachelor’s degree in Finance, Accounting, Statistics, Business or related field/equivalent experience
• Over 3 years’ experience in Research and Data Analysis.
• Familiar with data visualization and reporting tools such as Tableau, Power BI, Qlik Sense
• Ability to work on multiple projects involving multiple senior stakeholders concurrently
• Strong presentation and communication skills
• Team player with good interpersonal and problem solving skills
• Strong analytical skills and able to work under tight timelines
• 2 positions available

Office Location: Central

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176).Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

Experience in using D365/Dynamics AX is a MUST

DUTIES & RESPONSIBILITIES:

1) Scope:

• Business operation: Finance module
• IT system: Navision(current) and D365(future), also peripheral systems and interfaces are included.

2) Management:

• Organizing Business requirements: List up requirements from the viewpoint of daily operations, legal
  requirements including future situation, and prioritize those items with project members
• Organizing Business transition: coordinate with IT vendors, support the transition design, promote the
  transition tasks, and implementing quality management
• Lead to implement Company Standard Process (Global Template) to target companies
• Risk control: check risks, prepare countermeasures and contact and consider making the situation better
  with key persons
• UAT: create UAT lists, explain the contents of those to users and lead the UAT and complete the UAT phase
• Training: overall implementation of user training, including preparation and promotion
• Skill transfer: after the go-live, create documents, share those with target companies and IT vendor

3) Operations:

• WBS: create and maintain the list with IT vendors
• To Do & Issue list: create and maintain the list, monitoring the status of each task with IT vendors
• Meetings: set up and facilitate meetings and create meeting minutes
• Report: report to supervisors the project status and forecasts periodically in each communication channel,
  including budgeting and workloads
• Available to overseas business trip if project required

4) Others:

• Any other duties / Job scope assigned by superior or by Company

SPECIFICATIONS & QUALIFICATIONS:

• Education and Qualifications: Bachelor's degree or above in IT related field
• Practical Experience: At least 4-5 years relevant experience
• Professional Business Skills: Knowledge and skills for: IT areas of D365/Dynamics AX (to communicate with IT vendors). General accounting knowledge (to communicate with accounting staff)
• Interpersonal & Social Skills: Good interaction with people. Able to communicate concepts and ideas well. Strong written and verbal communications, Logical thinking. Able to work independently as well as work in the team
• Computer Skills: Basic skills of MS Office (Teams, PowerPoint, Excel etc.)

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to [email protected]or please click on “Apply Now” and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Lee Jia Chian (Jayleen)
EA Personnel Reg No: R24124361

Working Location: Queenstown

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Gather and compile data from various sources, including databases, reports, and external sources
• Analyze data to identify trends, patterns, and insights that inform business decisions
• Use statistical and analytical tools to perform data analysis
• Prepare detailed reports and presentations based on data analysis
• Create visualizations, charts, and graphs to effectively communicate findings to stakeholders.
• Ensure accuracy and clarity in all reports and presentations
• Provide actionable insights and recommendations to improve business performance
• Conduct market research to understand industry trends, customer behavior, and competitive landscape
• Develop and maintain documentation for data processes and methodologies

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with the ability to think critically and draw meaningful insights from data
• Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders
• Attention to detail and accuracy in data analysis and reporting
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Primary Math Teachers who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

• Reporting to the Team Manager, monitor and ensure product delivery velocity with good & transparent communication
• Be the leader of the unit spearheading new projects with goals / vision aligned with HoD's direction, together with fellow data scientists, under the 5 pillars in the team (Forecasts x 2, Pipeline, Optimization and Visualisation)
• Provide guidance to junior staff in SG office and nurture them with the aim to build up a solid support force for data science-related product development
• Be the Product Owner for OASIS data pipeline maintenance, initiate and coordinate deployment of enhancement whilst overseeing the overall stability of the pipeline
• Ensure all products are delivered without exceptional results and address failure with Product Owner within tolerance timeline
• Initiate enhancement of in-house forecast solution with information provided by counterparts/front office through meetings, visits and inquiries
• Follow up on poor forecast accuracy locations and provide suggestions on how to improve the current logics and system
• Analyze forecast inquiries from local offices and RHQ, proposing enhancements to the current logics/models
• Respond to the forecast system users' inquiries with regards to the system forecast value background

Requirements

• Bachelor's Degree in Data Science, Analytics or Mathematics
• Good knowledge of Mathematics/Statistics/Computer Science/Machine Learning
• Proficiency in staff management and related managerial techniques
• Proficiency in Python/SQL, capable of working independently or as part of a team
• Proficiency in Cloud Platform (GCP is preferred)/ Google Suite (Apps Script is a plus)/ Github/ Jira/ Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Strong problem-solving and risk analysis skill to analyse internal system data as well as the forecast system background data
• Proficiency to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow up actions
• Minimum 5 years' experience in SaaS product development preferred; shipping knowledge will be advantageous

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

You Will

• Data Collection & Wrangling: Gathering data from various sources (databases, APIs, web scraping, etc.), cleaning it, and transforming it into a usable format. This often involves dealing with missing values, inconsistencies, and different data types.
• Exploratory Data Analysis (EDA): Uncovering patterns, trends, and relationships in data through summary statistics, visualizations, and data mining techniques. This helps to form hypotheses and identify areas for further investigation.
• Statistical Analysis: Applying statistical methods to test hypotheses, make predictions, and draw inferences from data. This can involve techniques like regression analysis, hypothesis testing, and time series analysis.
• Data Visualization: Creating meaningful charts, graphs, and dashboards to communicate insights effectively to stakeholders. This involves choosing the right visualization techniques to tell a compelling story with the data.
• Reporting & Communication: Presenting findings and recommendations to both technical and non-technical audiences through reports, presentations, and dashboards. Strong communication skills are essential to convey complex information clearly.
• Predictive Modelling: Building models to forecast future outcomes based on historical data. This can involve machine learning techniques like regression, classification, and clustering.
• Data Management: Contributing to the development and maintenance of databases and data pipelines. This ensures data quality and accessibility for analysis.
• Collaboration: Working with cross-functional teams (e.g., marketing, product, finance) to understand their data needs and provide data-driven solutions.

You Bring

• Preferable min. 2-3 years of working experience, preferably in the SI environment.
• Diploma or Bachelor's degree in a quantitative field like statistics, mathematics, computer science, economics, or a related field is typically required.
• Proficiency in at least one data analysis language like Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• SQL for querying databases, and potentially experience with tools like Excel or data manipulation libraries.
• Experience with tools like Tableau, Power BI, Qlik Sense, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).
• Familiarity with statistical software packages like SPSS or SAS can be beneficial.
• Knowledge of Hadoop, Spark, or other big data technologies may be required for roles dealing with large datasets.
• Strong analytical and problem-solving skills are crucial for interpreting complex data and drawing meaningful insights.
• Excellent written and verbal communication skills are necessary to present findings clearly and concisely to both technical and non-technical audiences.
• Depending on the industry, having domain-specific knowledge (e.g., IT and finance) can be a significant advantage.

JOB DESCRIPTION

Job Title

Data Engineer

Occupation

DATA ENGINEER

Job Description & Requirements

About the Client:

Our client is a leading Information Technology (IT), consulting, and business process services company

Responsibilities:

• Implement robust solutions for data extraction and transformation from various sources including flat files and RDBMS.
• Configure and manage job scheduling and automation using tools like Control-M and Autosys.
• Develop shell scripts and use Unix commands to enhance ETL performance and streamline data processing.
• Ensure efficient job execution, error tracking, and troubleshoot performance issues.
• Use Moody’s tools (RCO, RAY, RFO) to support liquidity, risk management, and financial reporting projects.
• Troubleshoot and resolve issues related to GL recon breaks, ALM/LIQ stress processes, and LCR processes.
• Support Big Data solutions by working with core Spark (batch processing) and Spark SQL using Scala.
• Use Hadoop technologies like HDFS, Hive, and Sqoop for large-scale data migration and analysis.

Skills/Requirement:

• 10 years of expertise in ETL, Data Warehousing, and Big Data technologies. Should have a strong background in IBM Infosphere DataStage, Oracle PL/SQL, Unix Scripting, and hands-on experience with Moody’s tools.
• The role requires in-depth knowledge of data extraction, transformation, and loading (ETL) processes, as well as experience with CI/CD and automation tools to support efficient data operations. This is an opportunity to contribute to large-scale data projects and work closely with cross-functional teams in a challenging and dynamic environment.
• Design, develop, and maintain ETL processes using IBM infospheres DataStage (versions 8.1, 8.7, and 11.3).
• Build and optimize parallel jobs to clean, transform, and load data into target databases.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R24125310 (PARAMATASEEMA NAVEEN RAJANNA)

This is in partnership with 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 e2i’s PDPA.

“By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries

Job Summary:

We are seeking a meticulous and driven Data Analyst to join our Contact Center team. This role involves analyzing data to support operational decision-making and drive process improvements within our contact center. The ideal candidate will be adept at extracting, cleaning, and interpreting data, with the goal of enhancing customer experience, efficiency and overall performance.

Key Responsibilities:

• Extract, clean, and consolidate data from multiple sources to produce daily, weekly and monthly reports.
• Write and optimize SQL queries for efficient data retrieval.
• Respond to ad-hoc data requests from clients and management, delivering timely and accurate insights.
• Collaborate with developers to automate reporting processes.
• Serve as a point of contact for client data-related inquiries.
• Analyze contact center performance metrics, including call volumes, response times and customer satisfaction.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to guide strategic and operational decisions.
• Work with management and various departments to derive actionable insights and recommendations.
• Support the rollout of process improvements based on data insights.
• Ensure the accuracy and integrity of data across all reporting.
• Assist with demand forecasting and capacity planning using historical data trends.
• Stay informed about industry best practices and emerging technologies in data analysis.
• Perform other related duties as assigned by management.

Qualifications and Skills:

Education: Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics or a related field.

Experience: 1–3 years of experience in data analysis, ideally in a contact center environment.

Technical Skills:

• Proficient in data analysis tools such as Excel, SQL, and Python.
• Experience with data visualization platforms, including Tableau, Power BI, or AWS QuickSight.
• Communication: Strong written and verbal communication skills; able to effectively present insights and recommendations.
• Problem Solving: Detail-oriented with strong analytical and critical-thinking skills.
• Self-Motivation: Proactive and able to work independently with minimal supervision.
• Time Management: Excellent organizational skills with the ability to manage multiple priorities and perform under pressure.
• Quality Focus: High attention to detail, ensuring data accuracy and integrity.
• Knowledge of Analytics: Familiarity with statistical analysis, modeling, and data visualization techniques.

Job Description:

• Perform record creation and system updating in Bank’s operating systems relating to Secured Loans.
• Process documentation check, loan disbursement, loan servicing activities, loan redemption, fee payments & collection relating to Secured Loans.
• Prepare instructions, payment, advices & notification letters to customers/law firm
• Perform imaging, indexing and filing of collateral documents
• Perform reconciliation of General ledger accounts, transactions & documents
• Review & update system reports on daily, weekly and monthly basis.
• Ensure all requests are processed within specified Service standard, timely and accurately
• Manage ad-hoc project assigned by Team Manager
• Escalate any discrepancy / deviation to the Team Manager
• Assist Team Manager by providing ideas/initiatives in improving the existing workflow and identify operational risks and implement measures to address / mitigate the risk
• Ad hoc duties as assigned

Requirements:

• No experience required
• Diploma of a relevant discipline

How to Apply:

Interested applicants, please email your resume to [email protected]

Kindly note that only shortlisted candidates will be contacted.

Zoey Chng Chu Xin

CEI No: R24125496

Recruit Express Pte Ltd

EA Licence No: 99C4599

Job order: 767237

Responsibility:

• Responsible for accounting duties which including accounts payable and receivable
• Preparation of the internal monthly analysis report
• Assisti in closing of books within the timeline
• Approval of workflows for payments
• Prepare Consolidation package (quarterly).
• Assist in Audit (Internal and External)
• Prepare Corporation Tax workings and assist in tax query.
• Involve in other tax matters like Transfer Pricing documentation
• Other ad-hoc duties as assigned

Requirements:

• Degree holder from Accountancy/Finance/Business fields
• Entry level position and training provided
• Proficient in MS office

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:

https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Chong Gui Feng

EA Personnel Registration Number: R1768033

EA License no.: 07C5771

Requirement

• Bachelors Degree in Computer Science, Information Technology or other relevant fields
• Minimum 2 years of work experience with Data Ingestion, ETL, Data Modelling, Data Architecture to build Datalake.
• Proficient in designing, coding, and tuning big data processes using Pyspark.
• Minimum 2 years of extensive experience in working on AWS platform using core services like AWS Athena, Glue Pyspark, RDS-PostgreSQL, S3 & Airflow (for orchestration).

Summary:

We are seeking a highly skilled and experienced Big Data Lead Architect to oversee the design, development, and deployment of big data solutions. The ideal candidate will have strong expertise in managing and architecting large-scale data platforms using advanced technologies such as Cloudera, Azure Cloud, and Kubernetes, among others.

Key Responsibilities:

• Lead the design, architecture, and implementation of end-to-end Big Data solutions.
• Oversee the integration of Cloudera CDH/CDP platforms for data management and analytics.
• Architect scalable solutions using technologies like Cloudera Machine Learning, Elasticsearch, and AML applications.
• Collaborate with data science and engineering teams to optimize the deployment of data models and machine learning pipelines.
• Ensure high availability and disaster recovery of big data platforms using technologies like Kubernetes, VMWare, and Azure Cloud.
• Automate infrastructure and deployment processes using Chef and Shell scripting.
• Implement monitoring and observability solutions using Prometheus, Grafana, and other monitoring tools.
• Manage security frameworks for big data environments using CyberArk and Trend Micro.
• Perform infrastructure troubleshooting and manage incident resolution using Remedy.
• Optimize database performance and management using PostgreSQL.
• Collaborate with cross-functional teams to ensure secure, reliable, and scalable infrastructure on HPE servers.

Required Skills & Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

Experience:

• 7+ years of experience in Big Data architecture and infrastructure, with a minimum of 3 years in a lead role.

Technical Expertise:

a) Cloudera CDH/CDP platforms and Cloudera Machine Learning.

b) Azure Cloud architecture and deployment.

c) Experience with Kubernetes, VMWare, RHEL, and container orchestration.

d) Monitoring tools: Prometheus, Grafana.

e) Security tools: Trend Micro, CyberArk.

f) Scripting: Shell scripting and automation with Chef.

g) Strong experience with Tableau and SAS for data visualization and analytics.

h) AML application expertise and experience with Elasticsearch.

i) Database expertise in PostgreSQL.

j) Strong experience in infrastructure management with HPE servers.

k) Proven experience in working with cloud and on-premise environments.

Preferred Skills:

a) Experience with disaster recovery, high availability, and security compliance.

b) Experience with DevOps practices and continuous integration (CI) pipelines.

c) Experience managing large-scale environments and multi-tier architectures.

Soft Skills:

a) Strong problem-solving and critical-thinking skills.

b) Excellent communication and leadership abilities.

c) Ability to work collaboratively in a fast-paced, dynamic environment.

d) Strong organizational and multitasking skills.

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Background

Alternatives.pe provides the most detailed and comprehensive financial information on startups, SMEs, and their investors. Since launching in 2020, the company has already signed up clients like GIC, Sequoia, KKR and most of the leading investors in Southeast Asia. And this is just the beginning.

Role & Responsibilities

You will design and manage the processes that build and maintain our database of Key People who work for Fund Managers, Limited Partners and Family Offices.

Skills Required

• Must be a skilled user of a range of data acquisition tools
• Must be a skilled user of data cleaning and management tools to deduplicate, match, append etc. Ability to write functions in Google AppScript or Python would be a plus
• Familiar with LinkedIn Sales Navigator
• Familiar with dealing with email address data (and its validation)
• Familiar with process automation / integration tools (Make/Zapier etc)

Specific requirements of the job are:

• Design, implement and manage the process of finding new, relevant people that should be included on the Alternatives.pe platform, and maintaining the freshness of that data.
• Process raw data from various sources and prepare it for analysis/ingestion.
• Monitor data quality and implement improvements as needed.
• Help identify new data sources that our subscribers will find valuable.
• Develop a measurement framework that monitors key metrics for management.
• Collaborate with the development team to integrate data processing workflows.

Requirements

• 2-3 years of working experience
• Experience in a role that involves research / data acquisition and data operations.
• Highly developed attention to detail and enjoy getting data sets 100% accurate.
• Good communication skills in English.
• Excellent problem-solving skills
• Ability to work remotely, independently and in a team environment.
• Able to adapt well in a fast-paced startup environment
• Bachelor's degree in a business or technical subject.

Responsibilities:

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:
• Design, create, modify extract/transform/load (ETL) pipelines in Azure Data Factory ensuring efficient data flow from source to destination.
• Ensure data accuracy and data integrity throughout the ETL processes via data validation, cleansing, deduplication, and error handling to ensure reliable and usable data being ingested.
• Monitor the ETL processes and optimize ETL pipelines for speed and efficiency, addressing bottlenecks, and ensuring the ETL system can handle the volume, velocity, and variety of data.
• Participate in data modeling, designing of the data structures and schema in the data warehouse to optimize query performance and align with business needs.
• Work closely with Business controlling, data engineers and IT teams to understand data requirements and deliver the data infrastructure that supports business goals.
• Provide technical support for ETL systems, troubleshooting issues and ensuring the continuous availability and reliability of data flows.
• Ensure proper documentation of data sources, ETL processes and data architecture.

Qualifications

• 3-5 years of database experience in an enterprise production environment
• Working experience on Azure cloud and with Azure Data Factory is a must, and Oracle cloud would be a plus
• Demonstrable proficiency in PL/SQL to write SQL scripts
• Experience in data injection, cleansing and data modelling
• Hands on Database administration skills on Oracle and PostgreSQL would be a plus
• Good analytical and troubleshooting skills
• Curious, proactive, self-motivated and able to work in a dynamic environment
• Good spoken and written communication skills
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Responsibilities

• Data Request Management: Gain a deep understanding of the product team's data requests and provide support in building the data structure and roadmap. Ensure timely fulfillment of daily data needs. Additionally, gather requirements, prioritize features, and ensure successful delivery of data products.
• Stakeholder Collaboration and Workflow/SOP Development: Collaborate closely with stakeholders, including the product team, BI team, data engineers, and business leaders. Work together to establish efficient workflows and SOPs with the product team, ensuring adherence to established procedures.
• Data Product Development: Develop data products for the assigned product line to guide the long-term development of the business. This includes creating a north-star or metrics system aligned with the goals of the product line.
• Data Governance: Thoroughly investigate recurring data issues by identifying underlying problems within internal data systems. Implement systematic approaches to address these issues. Collaborate closely with the data governance team to develop sustainable data governance solutions.

Requirements:

• Min. 2-5 years of experience in data product management.
• Excellent project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Strong communication, collaboration, and implementation skills, with the ability to identify and resolve problems from both business and data technology perspectives.
• Demonstrates great sense of responsibility & ownership, with the ability to work under pressure.

Nice to Haves:

• Data Engineering background
• Crypto/Blockchain knowledge is a plus

EA Personnel: Celine Tan Si Ling

CEI Reg No: R1104662

EA Licence No: 99C4599

Job Description:

• Monitor and ensure product delivery velocity with good communication
• Be the leader spearheading new projects together with fellow data scientists.
• Provide guidance to junior staff and nurture them with the aim to build up a solid support force for data science-related product development
• Be the Product Owner for data pipeline maintenance, initiate and coordinate deployment of enhancement whilst overseeing the overall stability of the pipeline
• Initiate enhancement of in-house forecast solution.
• Analyze forecast inquiries from local offices, proposing enhancements to the current models.
• Respond to the forecast system users' inquiries.

Requirements

• Proficiency in Python/SQL, capable of working independently or as part of a team
• Proficiency in Cloud Platform (GCP is preferred)
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Proficiency to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow up actions
• Minimum 5 years' experience in SaaS product development preferred

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 4+ years experience doing quantitative analysis
• Fluency in SQL, R, or Python
• 4+ years experience leading product analytics and influencing product roadmap
• 4+ years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

The ideal candidate has experience with large-scale data processing and a solid grasp of data science workflows. This position allows for a substantial impact on the team’s research direction within a successful proprietary trading firm.

Responsibilities:

• Identify high-quality data and request acquisition through data team tickets.
• Develop tools for data visualization and exploration.
• Apply statistical and ML techniques to detect patterns and trends.
• Stay updated on data science and crypto industry advancements.
• Benchmark model performance against leading techniques.
• Build metrics and dashboards to track trading strategy performance.

Requirements:

• At least 5 years in data science, with 2 in leadership
• Master’s in EE, CS, Physics, Mathematics, or related field
• Proficiency in Python, large-scale data processing, and ML frameworks like TensorFlow, PyTorch, and scikit-learn
• Experience in time-series analysis, modeling, and forecasting
• Strong understanding of model architecture and code quality
• Knowledge in crypto or finance is beneficial but optional

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 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 | Angel Lim | EA Reg No.: R1769781

Responsibilities

• Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models scoring (data science), API, mainly using Dataiku and Google BigQuery

• Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework.

• Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.

• Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)

Skills/Requirement

• Minimum of 3 years’ experience in IT development roles such as data integration on Google Cloud & Dataiku or similar cloud services

• Mastery of the data stack components in Google Cloud Platform (certifications appreciated) including but not limited to: Google Big Query (nested fields, partitioning, merge SQL, authorized views, RLS), Cloud storage, Cloud functions, Cloud composer, Google Firestore, Google data catalog or similar services of other cloud services.

• Proficiency of Dataiku (on Google big query): development of dataiku flows, implementation of scenarios, scheduling, management of versioning, releases into production, administration etc.

• Mastery of complex SQL queries

• Good knowledge of Python is a plus

• Development practices with data exchange architectures: webservice, API, streaming.

• Development in an agile team and the tools used in CI / CD (Git, Bash, CLI, Azure devops, Jira, Confluence)

• Knowledge of Microsoft Power BI, data catalog tool, data quality, data management

Permanent, 5 days, Serangoon.

Our Client:

Data center Cooling Solution Provider

Job Scope

• Together with technical engineer, to develop solutions based on client’s unique requirement.
• ·70% Hunter role and 30% farmer role to data center builder, consultant, owner.
• Manage the sales cycle from request for information (RFI) to closing
• · Proactively carry out prospecting activity in order to increase the sales opportunity

Requirement

• Degree in Mechanical/Electrical engineering
• 3 years’ experience in data centre cooling solution sales with good sales record
• Good network with data centre builder, consultant, owner

What’s on offer

· On target pay + car allowance ($600) + commission

· Stable Management

· Dynamic work environment