Job Description:

• Collaborate with stakeholders to understand needs for actionable insights
• Work collaboratively with stakeholder to refine business questions and translate business needs into analytics and data requirements
• Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals
• Provide rationale, business cases and ROI models to support investment
• Execute both exploratory data analysis to identify trends and data analysis to solve business problems.
• Develop of analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.
• Support the rollouts, upgrades, implementation and release of analytics system changes
• Ideate intelligent algorithms to operate on large data sets
• Keep abreast of existing and emerging scientific principles/theories/techniques
• Plan project timelines and resources needed
• Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints
• Apply project management tools and processes to ensure project is cost-effective and identify any project risks
• Prepare project status reports for stakeholders
• Communicate project objectives at critical junctions to obtain buy-in from all stakeholders
• Provide advice on high-level Advanced Analytics solution designs.
• Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.
• Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

Requirements / Qualifications

• PHD/Masters/Bachelors in Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines
• At least seven (7) years’ experience in providing data science or advanced analytics advisory, especially in designing and implementing data science or advanced analytics solutions on large datasets
• Deep understanding of statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques and a track record of solving problems with these methods.
• Proficient in tools such as R/SAS/SPSS/Python.
• Excellent communication, relationship skills and a strong team player.
• Demonstrate good, in-depth knowledge in relevant hardware/software products, frameworks and methodologies.
• Experience with

1. databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum)
2. data repository design (e.g. operational data stores, dimensional data stores, data marts)
3. data interrogation techniques (e.g. SQL, NoSQL).
4. structured and unstructured data analytics.

• Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
• Comfortable working independently to carry out data analysis, estimate resource requirement and managing timeline. Understanding and analysing huge volumes of data drawn from heterogeneous sources / repositories.
• Advance knowledge of Excel features and techniques required for the presentation of data
• The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
• A good understanding of Singapore Healthcare System
• An understanding of healthcare data governance, data acquisition and data management would be an advantage.
• Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

JOB DESCRIPTION

· Manage administrative aspects of onboarding, such as preparing employment documents

· Assist with administrative planning for new recruit onboarding and offboarding

· Assist with the recruitment process, which includes posting jobs, scheduling and organizing interviews with hiring managers, and preparing for and organizing the signing of employment contracts with selected candidates

· Organize and oversee meetings and cultural events for the company

· Assist with any other HR administrative tasks

JOB REQUIREMENTS

· Diploma in any related field

· Outgoing and team player

· Ability to handle confidential information professionally and discreetly

· Proficient in Microsoft office

EA Reg. Number: R21100629

EA License Number: 22C1278

The successful incumbent will be part of a global data management team leveraging system knowledge to maintain organization data in Workday and ensuring global governance of data. In addition, the incumbent will work closely with Strategic Workforce Planning team globally to ensure compliance and organizational structure.

Requirements

• Degree with 1 year OR diploma with 5 years of HR operations/HRIS
• Recent degree holders with HR internship experience welcome to apply too
• Strong communication skills

5 days work week

This is a 1 year contract with completion bonus

Interested candidates may forward your resume to [email protected]

Responsibilities:

· Process company application

· Checks for disbursement

· Exception handling and refunds

· Attend to escalated enquiries on claims

· Collation of data / information / statistics for regular reporting

· Provide administrative support

· Undertake additional tasks as assigned

Requirement

· Diploma in any discipline

· Admin exp are welcome to apply

· Entry level with No Exp are welcome to apply

Interested candidates please send a copy of your resume to [email protected]

Consultant In-Charge: Daniel Lee / R1989151

• Develop and maintain scalable data pipelines, automating data flows and ensuring efficient data transfer between
systems.
• Create and maintain data connectors via APIs, enabling seamless integration across various data sources.
• Manage and optimize Google BigQuery for data warehousing, ensuring the quality and integrity of data from
capture to reporting.
• Leverage technologies such as Python, R, Airflow, and dbt for data orchestration, analysis and automation.
• Collaborate with cross-functional teams, including IT, Digital Learning, and divisional teams, to streamline processes
and establish data management best practices.
• Assist with the development of interactive data dashboards in Looker Studio and other visualization tools, providing
insights for faculty, staff, and management.
• Design and implement data visualizations, ensuring adequate, accurate, and legitimate data collection techniques.
• Maintain updated documentation and manage change processes for data systems, adhering to data governance
standards.
• Stay updated with the latest technological trends in educational software and data systems, recommending and
adapting new solutions.
• Serve as the main point of contact between data owners, identifying data issues, and providing technological
solutions.
• Assist in project management, including formulating strategies for effective data use and producing knowledge
base and training materials.

Qualifications
• Degree in Computer Science, Data Science, Data Engineering, or a related field, with relevant certifications.
• At least two years of experience in data automation and engineering, with a portfolio that includes academic
projects or work.
• Proficiency in data engineering and automation technologies, including advanced SQL, JavaScript, CSS, HTML, and
version control systems like Github or SVN.
• Experience with data visualization tools like Looker Studio and data warehousing tools such as BigQuery.
• Understanding of various database types (Relational, NoSQL, etc.), and OLAP/OLTP systems.
• Familiarity with machine learning and predictive analytics is highly desirable.
• Strong analytical skills, with the ability to resolve technical issues systematically.
• Excellent verbal and written communication skills, with a positive and growth mindset.
• Ability to work independently, maintain confidentiality, and manage time effectively.
Contacts
• Students, Staff and Vendors

Working Conditions
• School Environment
• Working hours 8am to 5pm, Monday to Friday

5 days, 9am-6pm, permanent, Eunos

Our client

Data Centre Builder

Job Scope

· To Perform onsite maintenance and servicing of Computer Room Air Conditioning/HVAC

·

· To troubleshoot, repair, service of computer room aircon /HVAC

· To Install, commissioning and testing of aircon System.

REQUIREMENT

· Min Nitec Diploma in Aircon/ Mechanical Engineering

· 2 years hands on experience to troubleshoot and repair of Computer Room aircon

· Able to perform rotating 24/7 on call standby (Extra allowance will be given) on 1st half or 2nd half of the month

· Singapore Class 2 or Class 3 licence.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Permanent, 5 days, Ang Mo Kio

This role requires a highly self-motivated individual that is well organized and can time-manage well. The role requires good Mechanical and Electrical Engineering domain expertise in the design and project management in Building automation or HVAC or Petrol chemical plant. You will have very good career opportunity to lead the Engineering team. You will report to CTO and work with 3rd party products experts to covers the followings:

(1)Ongoing Project deployment (Product and Solutions Improvement)

(a)To provide technical advisory (Hardware, software), integration [for current project implementation

• Pre-sales application support or site visit if needed
• To support Test and Commissioning, pre handles validation

(2)Research n development

Existing design improvements to Products and System

(a) To review, redesign and redevelopment of the entire Heat Removal Core Product and Solution.

Module includes

· Heat Removal

· Thermodynamics system of various heat exchangers

· Interfacing with electrical remote central control unit and associated valves, piping, sensors, refrigerants and Leak and Alarm detection systems.

Next tier of Thermal cooling Engineering design

(a)Thermal cooling for the entire eco-system of the Data Centre and involves working with third party product and system and incorporating and customization to integrate with our patented cooling design concepts.

Module includes

• Chilled water system with elevated temperature
• Different types of chilled water system
• CFD diagnosis to all relevant space to guide design and testing.

Requirement

· Bsc Degree or master’s in mechanical engineering or chemical engineering

· Min 5 years’ experience in Building Automation or HVAC or Chemical Plant

Added advantage:

• Experience in Engineering design and consultant firm
• Pofessional Engineer certificate preferred.
• Presales, strong communication, interpersonal and influencing skills.
• willing to be groomed for higher role in engineering team

5 days, Permanent, Eunos

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

· 60% hunter and 40% farmer in prospecting for corporate clients who needs to build new / maintain existing data center.

· Active prospecting, identify sales opportunity.

· High technical proficiency in identifying b2b corporate client need

· Collaborate with all parties from plan, design, to project delivery.

· Maintain good relationship with client through period visit for servicing and upselling opportunity

Requirement

· Min diploma in mechanical/electrical engineering

· Have existing good contact with business owner, Consultant, Level1 Builder

· 3 years sales experience of data center M&E infrastructure service/ data center related equipment.

· Able to work in bilingual environment.

Work location : Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified

Permanent, 5 days, Eunos

Our client:

A reputable M & E infrastructure company that design, build n maintain data Centres n company server room

Job Scope

• Negotiate, procure materials, equipment and labour in accordance to the allocated budget
• Liaise with relevant authorities/subcontractor/clients/suppliers on maintenance, repair & T&C job
• Ensure MOS (Method of statements) & RA (Risk assessment) document are implemented n adhered to
• In charge pf day-to-day data center technical operations (Exp: routine servicing, maintenance & T&C processes) remote/ onsite
• Troubleshoots data center electrical/ACMV/ fire protection system/ UPS/ Security System.

Requirement

· Diploma/Degree in Engineering related field

· 3 years’ experience of troubleshooting n repair work for building M&E Infrastructures services

· 3 years’ experience in building M&E infrastructuremaintainence operation

Added advantage:

Experience of uninterruptible power supply (UPS) or Electrical Boards

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Permanent, 5days, Paya Lebar

Product:

Heating, ventilation, air conditioning (Hvac)solution for data center

Our client

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

Years in business: > 50 yrs worldwide

Area of business: Global

Job scope

- Carry out Hands on service, maintenance, commissioning, troubleshooting, repair of data center Aircon/Hvac/ CRAC (computer room aircon)

Documentation of service reports in a timely manner.

- person in the service office.

- Supervise subcontractors

- Mentor junior technician.

- Adhere to safety sop

Requirements:

- Min Nitec Building Services, Electrical or Mechanical Engineering

- Min 2 years’ experience in the M&E industry

Added advantage:

Data center aircon servicing

• Good Bonus - AWS + 3 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

§ Technical support for Protection Projects/Services

§ Handling testing and commissioning activities at site

§ Perform wiring check in workshop and at site

§ Project Management

Requirements:

§ Diploma/Degree in Electrical/Electronic Engineering from a recognised Polytechnic/University

§ Experience in site testing and commissioning preferred but not necessary

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 3 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

The Job:

The Administrative Assistant is essential in ensuring the operation is seamless hence allowing us to deliver on our promises to clients.

Responsibilities:

* Process customer order

* Place order with supplier

* Stock in/ stock out of goods for deliveries

* Liaise with freight forwarder to arrange import/ export shipment

* Co-ordinate with sales support team on after-sale service activities

Qualifications:

· Minimum Diploma in Biotechnology, Business Administration or Accounting will be ideal

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + 3 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

§ Planning, co-ordination and execution of LTA and SMRT projects

§ To attend all interface and co-ordination meetings with different stakeholders and contractors

§ To lead in all projects related site installation schedule and to manage site subcontractors

§ To monitor and supervise all site related activities and work progress

Requirements:

§ Relevant Diploma in Electrical Engineering/Computer Engineering from a recognised Polytechnic

§ Relevant site co-ordination in LTA/SMRT projects

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 3 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Permanent, 5 days, Serangoon

Our client:

Data center Cooling Solution Provider

Job Scope:

Pre tender

Understanding of customer requirements/specifications and devise appropriate inspection and audit for on-site installation criteria with Project team

Project In progress

• Handle Customer complaints with Project Engineer to understand reported complaint and provide corrective actions.

After sales

• Address Post Project Service maintenance issue
• To identify m document systemic issues n identity n document problem-solving techniques
• To perform audit on completed project n for improvement on service quality.
• To perform data analysis to identify significant product quality issues and devise solutions.

Other Quality control SOP

• To document Corrective action records, so to prevent recurrence of issues.
• Research n implement ISO Standards for exp Quality Mgt System, Workplace Safety & Health regulatory requirements

Requirements:

• 3 years’ experience in mechanical quality control function
• Degree in Mechanical /Electrical/ Manufacturing Engineering

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Manager to join our Corporate R&D Center. The manager will lead the newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. To improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Job Responsibilities:

• Lead the AI team that deliver high quality data science solutions and AI/ML infrastructure to support new product development (NPD) in TE
• Lead the team to adopt cutting-edge data science techniques (using in-house coding tools or commercial software) and develop machine learning algorithms to solve engineering problems (such as material formulation, manufacturing process, product design, etc.) based on experimental and simulation data sets.
• Collaborate with multi-discipline specialists in data science, electronics, material science, mechanics, additive manufacturing, and other fields.
• Work with local and global TE sites, and external customers/vendors, to address urgent or strategic needs.
• Partner with Singapore research institutes and universities to develop advanced AI techniques.
• Develop and execute the roadmap and strategy of AI
• Manage portfolio of projects to drive completion of tasks and ensure timely delivery of high-quality results that reduce cost, speed time to market and increase quality.
• Enhance the awareness across TE of the AI capabilities of the Singapore AI Hub and promote the democratization of AI in TE at the enterprise scale.

Job Requirements:

Required:

• Proven track record of team management and technical leadership
• Proven experience of solving engineering problems with AI, data science and machine learning
• Bachelor’s degree (or higher) in Engineering (or related discipline) with 10 years working experience in product development or R&D
• Strong multitasking, prioritization, and ability to delegate where appropriate and keep resources aligned with critical priorities.
• Strong verbal and written communication, and presentation skills with interpersonal skills to work with multiple level and multi-discipline stake holders.
• Project management expertise, PMP Certification Preferred

Preferred:

• Familiarity with product design, material development and Additive Manufacturing
• Knowledge of TE’s business, products, material, and manufacturing processes (molding, extrusion, plating, stamping, assembly etc.)
• Broad knowledge of polymer and metal material properties (mechanical, electric, thermal etc.)
• Hands-on experience of data science and machine learning algorithms involving multiple data types
• Programming skill in Python, C++, Java or similar languages

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

Job Highlights:

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

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

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

• Handle full spectrum of recruitment and talent acquisition matters

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

• Coordinate interviews between candidates and clients

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

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

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

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

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

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

Job Highlights:

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

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Uncapped, Attractive Sales Incentives

Job Duties:

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

• Handle full spectrum of recruitment and talent acquisition matters

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

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

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

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

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Key Responsibilities:

• Collaborate with business analysts to develop business requirements and translate them into technical solutions.
• Analyze and define tasks, data flows, and dependencies to ensure efficient project execution.
• Identify and communicate design and scope issues to stakeholders, providing recommendations for resolution.
• Conduct design reviews and oversee quality assurance functions for information delivery applications, ensuring adherence to project requirements and standards.
• Create technical deliverable artifacts needed for project implementation, including documentation, code repositories, and data models.

Must-Have Skills:

• Proficiency in machine learning algorithms and deep learning algorithms.
• Strong knowledge of statistics for data analysis and modeling.
• Highly proficient in Python programming for data manipulation, analysis, and modeling.
• Experience with SQL for data querying and manipulation.
• Hands-on experience with AWS Cloud services for data storage, processing, and analysis.

Good-to-Have Skills:

• Experience collaborating with business analysts to develop business requirements.
• Ability to analyze tasks, data flows, and dependencies to ensure project efficiency.
• Strong communication skills to articulate design and scope issues to stakeholders.
• Experience conducting design reviews and overseeing quality assurance functions.
• Ability to create technical deliverable artifacts for project implementation.

The Role:

In 2024, the global data team is actively scaling up, and we're eager to explore more talents to join our R&D centers in Singapore and Shanghai. Your contribution will play a pivotal role in steering the data team into the next step - the era of AI in Airwallex.

As a data engineering expert, you'll delve into various facets of data engineering, starting from end-to-end data modeling to writing DBT, enhancing data content, and exploring underlying aspects such as Flink ETL. If you're intrigued by the realm of AI, we wholeheartedly encourage our team members to engage in the journey of AI projects, from conception to fruition.

Join us in shaping the future of finance through innovative data solutions!

Responsibilities：

• We expect you to possess a solid understanding and experience in both the foundational aspects of data engineering and data content. An interest in end-to-end work and topics related to AI is highly desirable. As our data team is distributed across different regions, we value candidates with a global perspective and excellent English communication skills.
• Work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret.
• Develop and automate large-scale, high-performance distributed data processing systems (batch/ streaming) to drive Airwallex business growth and improve the product experience.
• Evangelize high-quality software engineering practices toward building data infrastructure and pipelines at scale.
• Lead data engineering projects to ensure pipelines were reliable, efficient, testable, and maintainable and were largely in charge of architecting solutions.
• Design our data content models for optimal storage and retrieval and to meet critical product and business requirements.
• Contribute to shared Data Engineering tooling standards to improve the productivity and quality of output for Data Engineers across the company.

Requirements:

• Over 5 years of hands-on experience in the dynamic field of data engineering.
• Hold a Bachelor's or Master's degree in CS / CE / CIS or possess equivalent expertise, showcasing proficiency in Kotlin, Java, Scala, Python, and SQL. Familiarity with Spring Boot, Spark, Flink, Hadoop, BigQuery, and Snowflake is a plus.
• Expertise in crafting robust processes that underpin data transformation, and manage data structures, metadata, dependencies, and workloads.
• Possess a strong command of Real-time and Batch-processing systems.
• Proven track record of conducting in-depth root cause analysis on internal and external data and processes, addressing specific business inquiries, and identifying enhancement opportunities.
• Exceptional analytical skills, particularly in handling unstructured datasets.
• Demonstrated ability to take charge of designing, constructing, and maintaining distributed systems, while establishing an overarching data architecture.
• Excellent written and verbal communication skills, facilitating seamless collaboration across teams in both Mandarin and English.

Tech Stack:

• SQL, Python, Spring boot, Spark, Flink, Hadoop, BigQuery, Snowflake, Airflow
• Plus - Java, Kotlin

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team. Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service. We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Minimally 8 years of Data Engineering experience
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

Responsibilities:

1. Azure Data Platform Design and Implementation:Collaborate with cross-functional teams to understand data requirements and design scalable Azure data solutions.
   Implement and optimize data storage, processing, and analytics solutions on Azure, leveraging services such as Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics.
2. Infrastructure as Code (IaC) with Terraform:Develop, maintain, and enhance Terraform scripts for automating the provisioning and configuration of Azure infrastructure components.
   Ensure IaC best practices are followed to achieve consistency, repeatability, and version control in infrastructure deployment.
3. Data Security and Compliance:Implement security best practices for Azure data services and infrastructure components.
   Ensure compliance with data governance policies and industry regulations.
4. Performance Optimization:Monitor and optimize the performance of data platform components to meet scalability and efficiency requirements.
   Troubleshoot and resolve performance issues in collaboration with the operations and support teams.
5. Collaboration and Documentation:Collaborate with data engineers, architects, and other stakeholders to understand data requirements and provide technical expertise.
   Create and maintain comprehensive documentation for data platform architecture, configurations, and processes.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum 8+ years of experience
• Proven experience as a Data Platform Engineer with a focus on Azure services.
• Strong proficiency in Terraform for automating infrastructure deployment.
• In-depth knowledge of Azure data services, including Data Lake Storage, Azure SQL Database, and Synapse Analytics.
• Experience with data modeling, ETL processes, and data warehousing.
• Familiarity with data security and compliance standards.
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration skills.

Preferred Skills:

• Microsoft Azure certifications (e.g., Azure Data Engineer, Azure Solutions Architect).
• Experience with other infrastructure as code tools and technologies.
• Knowledge of DevOps practices and CI/CD pipelines

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

We are looking for highly motivated individuals who aspire to grow and lead in management roles.

Your role:

• Learning and understanding the different functions in the organization, from planning, to budgeting, to sales, and recruitment
• Utilising digital marketing tools and mobile apps to engage clients and prospects on a daily basis
• Building clientele base and working with clients on providing solutions and building long term relationships
• Participating in meetings, workshops, and events
• Compiling analysis and making presentations to other team members
• Completing fieldwork and providing evaluation analysis of the company’s services
• Gaining knowledge of management viewpoints, company policies, protocols, and processes
• Fulfilling any requirements and meeting goals set out at the start of the traineeship
• Observe experienced staffs to acquire knowledge of methods, procedures, and standards required for performance of departmental duties
• Provide support as needed in the various departments, including data-entry, presentation creation, strategic planning, client service matters as needed
• Prepare report on client’s portfolio performance and investments

Requirements

• Minimum Diploma and above
• Willing to learn and flexibility to adapt to working environment
• Training and 1 to 1 mentorship will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Established in 1973 with headquarters in Seoul, South Korea, Cheil Worldwide is one of the world’s leading integrated marketing communications networks, with more than 6,800 employees globally in more than 54 offices in 46 countries.

For more information, visit us at: www.cheil.com.

Cheil is expanding and we are inviting candidates to join our new and growing Data-Driven Marketing Solutions team. Reporting to the Digital strategy director, We are seeking a talented and experienced Data Analyst to join our team and play a pivotal role in analyzing and optimizing the performance of Samsung.com, one of our key clients. The ideal candidate will have a strong background in data analysis, with expertise in Adobe Analytics and a passion for leveraging data-driven insights to drive strategic decision-making:

Data Analyst

Responsibilities:

· Utilize Adobe Analytics to track, measure, and analyze key performance metrics for Website and Application, including but not limited to traffic, user behavior, conversion rates, and campaign performance.

· Use additional analytics tool like GA4 or Appsflyer to track the specific performance of Application

· Conduct an analytics tagging audit by using the relevant debugging solution to validate if all events and visits are properly tracked by Adobe Analytics

· Develop and maintain dashboards and reports to provide actionable insights and recommendations to internal stakeholders and the client.

· Conduct in-depth analysis to identify trends, patterns, and opportunities for optimization, with a focus on improving user experience, conversion rates, and overall site performance.

· Collaborate with cross-functional teams including digital marketing, web development, and client services to implement data-driven solutions and drive continuous improvement.

· Automate a manual analytics process by using the advanced excel formula, and programming languages like Python and SQL if possible

· Stay abreast of industry trends, best practices, and emerging technologies in web analytics and digital marketing to inform strategic recommendations and enhance performance

Requirements:

· Minimum 5+ years’ experience in a full set of Adobe Analytics and other web analytics tools.

· Proven experience in data analysis, preferably in a digital marketing or e-commerce environment.

· Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.

· Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

· Detail-oriented with a focus on accuracy and quality of work.

· Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.

Preferred qualifications:

· Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

· Leading experience for analytics teams before

· Experience with SQL, Python, or other programming languages for data analysis.

· Knowledge of digital marketing concepts and strategies.

· Experience working with e-commerce platforms such as Shopify, Magento, or WooCommerce.

· Certification in Adobe Analytics or related field.

We have an immediate requirement for a fully experienced MEP Construction Lead, who has the capability to drive the project to completion within the time and cost control requirements. This will be for an upcoming A&A fit-out project and will require a candidate with considerable experience i.e. who has managed hyper-scale projects, particularly during the pre-construction stage.

Some of the key attributes that we are looking for:

• plan and develop an understanding of the owner’s goals, and align the project to match.
• foresee potential challenges and address them before issues arise
• contribute to solutions
• unblock the routine obstacles that inevitably occur on fast track projects.

To be successful in this role you will have:

• At least 10 years of construction management and MEP experience, particularly in a mission critical environment
• Demonstrated understanding and experience of cost estimation and control, budget management, design review, risk assessment, safety & quality control and project scheduling.
• Ability to interpret construction contractual documents and contract modifications.
• Vast knowledge of all local legal issues, permits, and building codes involved
• Excellent organisational skills with an ability to produce accurate work to project deadlines.
• Excellent interpersonal and communication skills.

Summary

DataOperations Lead for a new large-scale National Healthcare IT System

Roles & Responsibilitiesas Data Operations Lead

1. Report to the Operations Manager, be responsible for data operations of a new national data repository
2. Accountable for the fulfilment of the system’s roles and responsibilities as one of the HealthierSG data single source of truth
3. Publish and enforce data definitions for established data subjects
4. Establish data contributor and data consumer onboarding processes with compliance to data governance policy, conduct onboarding with thorough quality assurance controls
5. Plan and Prioritise onboarding requests, track and report contributor& consumer onboarding status
6. Ensure data availability to data consumers, and provide timely communications in cases of disruptions
7. Respond to enquiries on data qualityand inform the relevant data contributor promptly
8. Receive and apply correctionsprovided by data contributors
9. Identify and establish measures on on-going basis to proactively detect data quality issues and follow up with the respective data contributors for timely data corrections, as well as implementation of preventive measures
10. Provide regular reporting of data quality issues to internal andexternal stakeholders, data owner, and trackall data quality issues till closure
11. Ensure compliance to both internal and external SLAs
12. Manage team’s support schedule to ensure full coverage of data operation services, as well as coaching team members to deliver consistent support service quality
13. Provide strong leadership for matters relating to operations support, processes, and guidelines to achieve service excellence
14. Advise improvements and assist in the development of measurable information and SOP / knowledge base / dashboards to assure continued effectiveness of system operations

Specific Requirement/Skillsets

• Degree in Computer Science, Information Technology,Management of Information Systems, or related discipline
• Minimum 8 years hands on experience in large scale IT applicationoperations, preferably in the area of data operation
• Excellent analytical skills with attention to detail
• Possesses good verbal and written communication across all levels of personnel with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders Pro-active, independent, and able to react quickly and resolve issuespromptly
• Experience in Healthcare domain is anadded advantage