Working location: Telok Ayer

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

JOB DESCRIPTION

• Manage the end-to-end recruitment process, including job postings, candidate sourcing, screening, interviewing, and selection
• Develop job descriptions, job specifications, and recruitment strategies to attract qualified candidates for open positions
• Coordinate with hiring managers to identify staffing needs, conduct job interviews, and make hiring recommendations
• Provide training and support to managers and employees on performance management best practices, policies, and procedures
• Coordinate training and development initiatives, including orientation programs, skills development workshops, and leadership training
• Identify training needs and priorities based on organizational goals, employee feedback, and performance evaluations
• Ensure compliance with employment laws, regulations, and company policies, and keep abreast of changes and updates in HR-related legislation
• Prepare HR reports and analytics on key HR metrics, such as turnover rates, absenteeism, and employee satisfaction, to inform decision-making and strategy development
• Conduct career advisory workshops/seminars to help job seekers understand the job market better

JOB REQUIREMENTS

• Diploma in any related field
• Excellent organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously
• Proficient in Microsoft office

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Alexandra

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

JOB DESCRIPTION

• Manage daily administrative tasks to ensure the marketing department runs smoothly
• Conduct market research to identify new opportunities
• Create reports on marketing and sales metrics, like conversion rates
• Assist with organizing promotional events
• Coordinate with the marketing design and content teams to create advertising material (e.g., brochures and newsletters)
• Prepare regular sales forecasting reports
• Monitor competitors’ marketing activities

JOB REQUIREMENTS

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg. Number: R21100629

EA License Number: 22C1278

Job Description

Office Administration & BILLING CLERK

Roles & Responsibilities

Job Description & Requirements

Basic Accounting knowledge Support AP/AR

Follow up and resolving SOA issue

Updating of Bank statement

Company cost control.

Prepare & Claims petty cash

Financial support, assisting the company's accounting company to handle accounting work.

Support the smooth communication and operation of the company team.

Human resources and administrative office management, such as handling entry and resignation/Annual Leave procedures, purchasing office supplies, etc.

Record receipts and payments in accounting software

Prepare month-end payments and online banking transactions

Responsible for month-end closing process and preparation of monthly financial report for management purposes

Update cashflow report

Audit liaison and drafting of financial statements

Other related accounting assignments

Prepare customer invoices

Print and mail out invoices

Prepare, verify and check various billing cost items, charging methods and reports.

To ensure that all Goods & Services are invoiced accurately and closed within the stipulated time frame; and accurate updating of the system for each transaction.

Follow up with customers on payments

To liaise with Customer service and sales departments for quotations related to the files for invoicing.

Other ad-hoc duties

*Scanning and sorting invoices or other require documents

*Other duties assigned by the Management for time to time

Prepare essential documents, such as memos, reports, and other forms of communication.

Manage and respond to emails and phone calls, forwarding communications to the right people when necessary.

Regularly communicate with staff to help procure necessary items for the office.

Requirements:

Min 1-2 years of experience for entry-level positions.

Relevant experience, preferably in Industrial Engineering Services industry or equivalent.

Proficient in MS Office / EXCEL

Fast learner, hardworking, attention to details, responsible

Working Location: TUAS *(JURONG)

NEAREST MRT : TUAS CRESCENT MRT (EW31)

Working Hours: 5.5 days (Monday – Friday: 8.00am – 5.30pm, Saturday: 8am – 12.30pm)

Salary Package: Basic Salary up from $2,500 to $2,900

Duration: Permanent

Candidate must possess at least a Primary/Secondary School/"O" Level, Higher secondary/Pre-U/A level/College, Professional Certificate/NiTEC, any field.

You can email your resume at [email protected]

Job Summary:

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.
• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.
• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.
• Implement data quality checks, data validation, and ensure accuracy in processed data.
• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.
• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.
• Programming Languages: Python, Scala
• ETL Tools: Informatica, SAS
• Database Management: Oracle, MySQL, MS SQL Server, MongoDB
• Scripting: SQL, PL/SQL
• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook
• Version Control and Build Tools: Maven, SBT, Git
• Methodologies: Agile, Scrum
• Operating Systems: Windows, Unix, Linux
• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL DataWarehouse, Azure Data Lake Storage, BLOB Storage

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

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

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

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

5 days | Mon - Fri | Central Area

Responsibilities & Duties

Account

• Maintaining accounting and related records (HongKong , Korea, UK,

Netherlands, Germany etc.)

• Completing the periodic and annual audit

• Ensure payments are checked, verified, authorised and approved

• Timely preparation and closing of accounts

• Support and advise project team on financial & accounting matters

• Review and implementation of accounting procedures and policies

Admin

• Manage general communication such as post, deliveries, couriers, etc.

• Manage supply of stationery and other office supplies

• Coordinate the travel arrangements for office on their travel arrangements

and logistics (bookings, visa applications, invitations letters)

Tee Xin Li Reg No: R24121619
The Supreme Hr Advisory Pte Ltd EA No: 14C7279

You will be working closely with the Business Lead and IT Team to support our regional data warehouse projects, playing an active role in requirements gathering and user acceptance testing. You will also be working closely with a team of junior actuarial data analysts to set up the company’s systems to process and consume bordereaux data provided by clients and provide extracts, reports and business insights to down-stream users.

Your Role:

• Assess data quality in the region and for the robust processing of data
• Provide actuarial and business input to the IT Team during requirement-gathering exercises
• Use actuarial and systems knowledge to assess proposed IT solutions
• Plan, support and actively manage the User Acceptance Testing of system changes
• Set up the regional systems to consume the data provided by selected cedents
• Support other members of the Data Team in expanding their actuarial and insurance knowledge
• Liaise with local offices throughout the region, as and when necessary
• Support the change management function in relation to data systems and processes
• Work with other members of the Data Team to analyse available data and to develop dashboards and reports, communicating relevant insights to senior management

Your Profile:

• Nearly-qualified / recently-qualified actuary with 5 to 10 years of experience in life reinsurance
• Thorough understanding of life insurance principles and products in the region
• Proven knowledge and hands-on experience in managing and contributing to IT projects,
• Possess technical computing skills such as SQL and Data Services
• Good analytical abilities and proficient in resolving challenges
• Fluent in English (both verbal and written business level)

Our Benefits:

• Flexible and Hybrid working arrangements
• Generous annual leave allowance
• Competitive dental, life and health insurance coverage

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us.

We are looking for Business Data Analyst to join one of the government agency!

• Be part of the team to handle government project
• Great working environment and career exposure (Agile, Cloud, Design Thinking, Data Analytics)
• Attractive salary package & employment benefits (up to 24 days leave, medical insurance etc)

Responsibilities:

• Partner with the Government Agency’s business teams to elicit citizen/business needs through human-centric, visual methods such as service journeys and develop the appropriate business case
• Apply Design Thinking / Service Design methodology and tools to develop and execute the approach to derive current state gaps and challenges, and future state design and solutions
• Work with the Agency's project teams to develop user stories, functional/technical specifications and acceptance criteria
• Adopt best practices in data governance, perform data cleansing, pre-processing and feature engineering that facilitate meaningful analysis
• Design interactive visualisation dashboards for data exploration and provide insights to Agency’s business teams
• Evaluate and recommend suitable technology while aligning with Government’s technology directions (such as cloud-based, enterprise architecture and modernization of legacy systems, adoption of SG Tech Stack)
• Identify and adopt the appropriate development methodology (e.g. Agile or Waterfall) in an Outsourced, Co-Sourced or In-house development environment
• Ensure system or product readiness for smooth deployment, adoption and operations
• Analyse impact of requested changes and propose improvements to continuously address changing business needs, and work with support team to understand and address technical problems (Operations & Maintenance phase)

Requirements:

• Singaporean Only
• Min 4 years of experience in business analytics, application solutioning design and testing
• Experience with one of the following: Agile (Scrum/Kanban), Cloud (AWS/Azure), Design Thinking, Data Analytics
• Data manipulation using scripting languages like Python or using ETL tools Visual analytics technologies like Tableau, Power BI End-to-end analytics architecture, preferably with some working knowledge of big data stack

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Liew Chien Hui (Vivian) | R2090138

ScienTec Consulting Pte Ltd | 11C5781

Job Description

We are seeking a Junior Consultant for a short-term project, based onsite at the client's office in Changi Business Park, Singapore. This position is ideal for individuals with a few years of experience, who are comfortable working in a bilingual environment (English and Mandarin). The consultant will receive training and will have access to reference materials and Standard Operating Procedures (SOPs) to assist with project tasks.

Key Responsibilities

• Application Usage:
  • Efficiently utilize the client's in-house application as a primary tool for project-related tasks.
  • Conduct searches and gather information using tools such as Google/Baidu and Ripjar Lexis Nexis.
• Data Processing:
  • Support data processing and analysis efforts, ensuring accuracy and adherence to provided SOPs.
• Collaboration:
  • Work collaboratively within the team and communicate effectively in both English and Mandarin to facilitate seamless information exchange.
• Onsite Operations:
  • Perform project activities onsite at the client’s location to meet time-sensitive requirements.

Qualifications

• Experience: A few years of relevant experience, preferably in consulting or data-related projects.
• Language Skills: Proficiency in both English and Mandarin for effective communication and data processing.
• Technical Skills: Basic familiarity with:
  • Google/Baidu search engines
  • Ripjar Lexis Nexis
  • Client’s in-house application (training provided)
• Other Skills: Strong attention to detail, ability to follow SOPs, and adaptability to learn new tools and processes quickly.

Additional Information

• Training: Provided onsite, with access to detailed SOPs and other reference materials.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

About the company
Our client is a renowned leading insurance company.

About the job
This role supports the Regulatory Compliance team, with a focus on data protection, and requires close collaboration with senior management and other business units. The key responsibilities include:

• Ensuring compliance with PDPA by monitoring data policies, identifying risks, and managing privacy documentation.
• Conducting audits, addressing data protection issues, and managing data breach incidents.
• Serving as a contact for data privacy queries, promoting compliance culture, and providing regulatory advice and training.
• Developing compliance programs and addressing any non-compliance areas.

Skills and experience required

• At least 5 years of experience in regulatory compliance, particularly in data protection.
• Strong written and verbal communication skills, and ability to present complex ideas.
• Possess strong understanding of insurance regulations.
• Excellent analytical, negotiation, influencing, and relationship-building skills.
• Self-motivated, independent, adaptable, and strategic thinker able to work with minimal supervision.

To apply online please use the 'apply' function, alternatively you may contact Lynette Lim.
(EA: 94C3609/ R1435181 )

Responsibilities

(a) Provide input to the development, maintenance and promulgation of the blueprints, roadmaps and reference architectures for Data Analytics infrastructure and services.

(b) Perform analysis of new requirements and develop solutions and manage solution delivery through acquisition or change control.

(c) Enhance our cloud capability by creating and implementing cloud application patterns.

(d) Develop and implement ways to move apps and workloads to the cloud.

(e) Work closely with business leads and system owners to understand solution requirements and identify architectural patterns.

(f) Write and develop cloud automation playbooks for managing and scaling containers, hosts, cloud services, and applications.

(g) Monitor compliance of cloud resources to see if they fit industry guardrails and best practices.

(h) Help other development and engineering teams resolve application to platform integration issues for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) services.

(i) Research and propose solutions for AWS data transformation, data connections, operational frameworks, and application integration.

(j) Work closely with lead architects and engineers to create and maintain architectural templates and build/operational documents.

(k) Work with DevOps and engineering teams to develop service catalogues.

(l) Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

Requirements

(a) Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.

(b) Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.

(c) Experience with

· databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)

· data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)

· data interrogation techniques (e.g. SQL, NoSQL).

· structured and unstructured data analytics.

· statistical computing programming language (e.g. R, Python).

· data quality tools and processes.

· data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).

(e) 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).

(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).

(g) Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.

(h) Exposure to the development, evolution and adherence to the architectures relevant to the domain.

(i) Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).

(j) The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.

(k) Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.

(l) Familiarity or experience with health informatics would be preferred.

(m) An understanding of healthcare data governance, data acquisition and data management would be an advantage.

(n) Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

1.1.3 Cloud Exposure (AWS):

(a) Strong knowledge and practical experience with AWS.

(b) Familiarity with modern cloud application architecture.

(c) Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases.

(d) Experience with setting up load balancers, cloud networks, and virtual servers.

(e) Infrastructure as code (IAC): Cloud formation, terraform.

(f) AWS identity and access management, integration with active directory.

(g) Familiarity with security and access control measures to control privileged access to test and production environment.

(h) Certification in AWS Cloud Practitioner or AWS Architect.

Internal ref: S- To be uploaded

Regards,

Lini

Recruitment Consultant

R22108463

Role: Contract (1 year, Renewable)

Position: Big Data Support Engineer

Mandatory Skills: Big Data, Data pipeline, Apache and Hadoop

Experience: 6 - 8 yrs

POSITION GENERAL DUTIES AND TASKS:

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines using PySpark, Dagster, Sqoop, Flume, and Informatica to extract, transform, and load data from various sources to target systems.
• Work with Teradata Utilities and DataStage for ETL processes and optimize data workflows for scalability and efficiency.
• Develop and maintain applications using C#, ASP.NET, and MVC frameworks for data-driven applications and web solutions.
• Work collaboratively with other software developers to integrate backend data solutions with web and application services.
• Use Python libraries (Pandas, NumPy) to clean, manipulate, and analyze large datasets, providing valuable insights to business units.
• Develop, optimize, and troubleshoot complex data transformations and aggregations to support analysis and reporting.
• Build, manage, and optimize data visualizations using Tableau, Power BI, Qlik Sense, and SSRS to empower stakeholders with insightful, actionable data.
• Create customized dashboards, reports, and interactive visualizations to communicate key performance metrics and business insights.
• Leverage knowledge of Teradata and other databases for query optimization, data extraction, and integration.
• Work with distributed computing environments (e.g., PySpark) to process large datasets and support advanced analytics.
• Ensure data quality and consistency across all data sources and pipelines, applying best practices for data governance.
• Perform data audits and implement monitoring solutions to detect and resolve data discrepancies and issues.
• Partner with data scientists, analysts, and business stakeholders to understand data needs and provide high-quality solutions.
• Communicate technical solutions and data insights effectively to non-technical stakeholders.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• 3+ years of experience in data engineering, software development, or data analysis roles with expertise in the specified technologies.
• Proficiency in Python (Pandas, NumPy, PySpark) for data manipulation and analytics.
• Strong skills in C#, ASP.NET, and MVC for application development.
• Experience with ETL tools like Dagster, Informatica, Sqoop, Flume, and DataStage.
• Familiarity with big data technologies, including Spark and Teradata Utilities.
• Strong experience with Tableau, Power BI, Qlik Sense, and SSRS for reporting and dashboard development.
• Experience with Teradata, SQL Server, or similar relational databases for efficient querying and data extraction.
• Knowledge of data quality, governance, and data lifecycle management best practices.

Savita Rai

EA REG NO: R1873418

EA License No:23C2060

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Role: Solution Architect (Data Analytics)

Responsibilities

(a) Provide input to the development, maintenance and promulgation of the blueprints, roadmaps and reference architectures for Data Analytics infrastructure and services.

(b) Perform analysis of new requirements and develop solutions and manage solution delivery through acquisition or change control.

(c) Enhance our cloud capability by creating and implementing cloud application patterns.

(d) Develop and implement ways to move apps and workloads to the cloud.

(e) Work closely with business leads and system owners to understand solution requirements and identify architectural patterns.

(f) Write and develop cloud automation playbooks for managing and scaling containers, hosts, cloud services, and applications.

(g) Monitor compliance of cloud resources to see if they fit industry guardrails and best practices.

(h) Help other development and engineering teams resolve application to platform integration issues for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) services.

(i) Research and propose solutions for AWS data transformation, data connections, operational frameworks, and application integration.

(j) Work closely with lead architects and engineers to create and maintain architectural templates and build/operational documents.

(k) Work with DevOps and engineering teams to develop service catalogues.

(l) Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

REQUIREMENTS:

(a) Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.

(b) Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.

(c) Experience with

• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)

• data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)

• data interrogation techniques (e.g. SQL, NoSQL).

• structured and unstructured data analytics.

• statistical computing programming language (e.g. R, Python).

• data quality tools and processes.

• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).

(e) 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).

(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).

(g) Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.

(h) Exposure to the development, evolution and adherence to the architectures relevant to the domain.

(i) Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).

(j) The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.

(k) Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.

(l) Familiarity or experience with health informatics would be preferred.

(m) An understanding of healthcare data governance, data acquisition and data management would be an advantage.

Cloud Exposure (AWS):

(a) Strong knowledge and practical experience with AWS.

(b) Familiarity with modern cloud application architecture.

(c) Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases.

(d) Experience with setting up load balancers, cloud networks, and virtual servers.

(e) Infrastructure as code (IAC): Cloud formation, terraform.

(f) AWS identity and access management, integration with active directory.

(g) Familiarity with security and access control measures to control privileged access to test and production environment.

(h) Certification in AWS Cloud Practitioner or AWS Architect.

If you are keen to explore the above role, please send across your updated resume to [email protected] and we can discuss to proceed further.

EA Personnel Registration Number: R1112410

Singapore Employment Agency Licence No: 11C3373

As a marketing data analyst with a strong background in data analysis, you will report to the Head of Digital Marketing in MSIG Asia. You will work with local marketing teams in business units (BUs), which are insurance companies in countries and territories in the region, to analyse customer data, identify marketing opportunities, and track campaign status. You will play a pivotal role in bridging the gap between raw data and strategic marketing actions. With your expertise in marketing analytics, you will support campaign design and execution, reporting and tracking end-to end campaign funnel, and reviewing campaign effectiveness.

Key Responsibilities

• Data Analysis & Insights: Use data to uncover actionable insights, optimise campaigns, and inform strategic decisions across our marketing initiatives.
• Campaign Optimisation: Develop and apply data models to optimise performance marketing channels (e.g., social media, email campaigns, website analytics). Monitor and evaluate the effectiveness of marketing campaigns.
• Reporting & Visualisation: Utilise statistical tools and techniques to analyse data and generate actionable insights. Provide insights and recommendations to improve customer acquisition, retention, and engagement.
• Collaboration: Partner closely with marketing teams in the BUs in the region to design and implement data-driven marketing strategies and integrate data insights into business strategies.
• Customer Segmentation: Leverage customer data to drive segmentation strategies and targeted marketing efforts, focusing on personalisation and customer journey enhancements.

Requirements

• 7+ years' experience working within a similar role in digital marketing with a focus on data analytics in any consumer products and service industry is required. Solid understanding of digital marketing channels, metrics, and optimisation techniques.
• Proficiency in data analytics and visualisation tools (Excel, Google Analytics, Power BI, Tableau, etc.)
• Experience with SQL, Python is a plus
• Familiarity with CRM systems (e.g., MS Dynamics, Salesforce)
• Understanding of insurance or financial marketing principles and practices is preferred.
• Experience working with large datasets and knowledge of data warehousing.
• Ability to understand a system architecture, a company system architecture and the best practices of other companies, and to consider and promote sustainable architecture.
• Knowledge of statistics required to understand and utilise internal and external data. This includes understanding testing and statistical analysis methods, as well as having practical knowledge to optimally apply these methods.
• Ability to transform complex data into actionable insights that drive business decisions.
• Strong communication skills, with the ability to present findings and recommendations to non-technical stakeholders.
• Team player with the ability to collaborate cross-functionally and lead cross-functional projects.
• Highly organised and detail-oriented, with strong problem-solving skills and ability to adapt to deadlines.

Responsibilities:

• Data Centre Operations & Maintenance:Lead 24/7 operations, ensuring compliance with all regulatory and operational standards, and maintain uptime and system availability.
  Oversee facility infrastructure, including power, cooling, security, and network management to support high-density, mission-critical environments.
  Conduct regular inspections and proactive maintenance to prevent disruptions.
• Cluster Supply Organisation Collaboration:Engage actively in a cross-functional team structure, working with agile methods that support rapid, flexible responses to changing conditions and customer needs.
  Embrace iterative development practices, continuously enhancing products and services to deliver valuable functionalities to customers.
• Team Leadership & Development:Lead a team of data center technicians and engineers, guiding skill development, encouraging accountability, and fostering a “fail fast” approach to enable rapid correction and adaptation.
  Share specialized knowledge across cells and chapters, maintaining open communication for regular, timely feedback.
• Strategic Planning & Process Improvement:Coordinate data center activities, including system installations, upgrades, repairs, and maintenance, aligning with the bank's digital strategy.
  Manage the full product lifecycle, taking quality, compliance, and customer needs into account.
  Implement agile quality assurance and risk management frameworks to ensure secure, reliable operations.
• Capacity & Resource Management:Anticipate capacity needs, optimize space, power, and cooling, and manage a budget to ensure cost efficiency while maintaining performance standards.
  Organize and prioritize regular tasks, using a proactive approach to risk, compliance, and resource management.
• Security & Compliance:Ensure physical and data security, maintaining compliance with regulatory standards (e.g., PCI-DSS, ISO 27001) and internal policies.
  Coordinate disaster recovery (DR) and business continuity (BC) planning, ensuring frequent failover testing and readiness.
• Vendor & Stakeholder Engagement:Manage relationships with vendors and service providers, ensuring adherence to service-level agreements (SLAs).
  Liaise with IT and business stakeholders to align data center activities with broader business goals.

Requirements:

• Degree in Computer Science, Engineering, or a related field
• Financial Services experience is a must
• Minimum of 7 years in data center operations
• At least 4 years in a management role in the banking or financial sector.

Benefits:

• Basic salary up to $2800
• Good career progression
• East Area
• Training provided

Job Scope:

• Perform troubleshooting and recovery on semiconductor manufacturing equipment to reduce downtime and ensure optimal performance.
• Assist in establishing recovery processes and procedures to enhance equipment operation efficiency.
• Conduct routine inspections and preventive maintenance on semiconductor tools and machinery, ensuring all equipment remains in top condition.
• Collaborate with engineering teams to analyse data and enhance recovery techniques.
• Document maintenance activities, recovery procedures, and equipment performance for quality assurance and compliance.

Job Requirements:

• Possess a bachelor’s degree in electrical/ mechanical engineering or related field will be a plus
• No prior experience required

To Apply, kindly click on the "APPLY NOW" button and job details.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Tan Pei Xuan (R24124430)

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

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

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)