Our Client:

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

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

Job Description

- Point of contact for users across the BANKS for data issue escalations. The EDM team ensures that data hosted in data warehouse is of good quality and conforms to data standards such as completeness, accuracy and consistency, to support regulatory and management reports. The team also promotes data automation and makes use of data to help develop initiatives to improve productivity.

- Data discovery through provision data requests to respective Data Playpen for business units across the Group. - The objective advocates self-service data exploration and analysis within and among Business/Support Units. - Data definition and specification documents are available to provide navigational guidance and support for data provision purposes.

Your main responsibilities include:
- Gathering and documenting business requirements & functional specifications on data related initiatives.
- Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation.
- Provide end-to-end project delivery support, including workshop planning, conducting of workshop walkthrough, user acceptance testing ,defect support, continuous validation and assisting with rollout activities.
- Able to perform complex SQL scripting to meet user’s requests.
- Foster strong working & collaborative relationships with the business & technology stakeholders.

Requirements
- Minimum Bachelor Degree or equivalent professional qualifications in Computer Science with at least 2 years of working experience in banking industry, preferably with business / functional knowledge;
- Experience in gathering and documentation of business requirements;
- Knowledge in Data Warehousing, BI tools, Big Data platforms and experienced in the use of analytical /query tools.

- Must be able to query and understand database solutions.
- Experience in developing and documenting data-driven solutions – including capturing architectures, metadata systems, data dictionaries, databases and applications.
- Good team player who possesses drive and initiative;
- Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.

Job Description:

• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decisionmaking at all levels of the organization.
• Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
• Operational supports: Maintain and support day to day operational on data platform, including:
• Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
• Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Please send your detailed resume in MS Word format to : [email protected]

Stating your notice period / earliest available commencement date, Current & expected salaries.

This will be a 1-year renewable contract based in One North.

Responsibilities

• Development and enhancement of dashboarding capabilities for audit, compliance, and service management reporting
• Promote enhancement of IT controls, processes, and security measures
• Implement initiatives and tools to analyse trends and provide oversight on compliance matters
• Improve effectiveness of update, tracking and reporting of compliance status
• Develop IT compliance guides
• Conduct briefing/awareness campaigns on IT compliance requirements, policies, and best practices.
• Coordinate internal and external audits and policy/ compliance-related assessments
• Monitor and report on status and issues
• Perform internal checks to evaluate effectiveness of IT controls
• Provide support to ad-hoc administrative, comms or operational work that may arise

Qualifications/ Qualities:

• Minimum Diploma in information technology, Computer Science, Engineering or a related field
• Minimum 2 years of working experience in Analytic tools (e.g. MS Power BI, Power Automate etc.) for dashboarding, reporting, and compliance monitoring.
• Experience in coordinating workstreams and tasks undertaken by functional teams within IT division and beyond, collating returns and performing reasonable analysis.
• Knowledge in IT audit or IT compliance or IT policy or IT risk management
• Knowledge of Information Security, cybersecurity principles and best practices
• Strong communication skills
• Analytical mindset
• Attention to detail
• Problem-solving abilities
• Team player, working collaboratively with cross-functional teams, auditors, management, and external stakeholders.
• Adaptable and able to work independently

Job Description & Requirements

Requirement – DC Operations

Shall provide Data Centre (DC) operations at the Customer’s premises and premises identified by the Customer. The DC Operations shall cover the following:

1. DC Environment Support; and

2. DC Facilities Management Services.

DC Environment Support

Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers. The infrastructure to be monitored shall minimally include:

(a) Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);

(b) Cooling Infrastructure (such as computer room air-conditioning units);

(c) Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);

(d) Environment monitoring system (such as humidity and temperature); and

(e) Water leakage detection.

(f) Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.

(g) The Vendor shall inform the Customer within one (1) hour when problems are detected.

(h) Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

(a) Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.

(b) Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.

(c) Shall ensure the network cabling in the data centre and within the racks are neat and tidy.

(d) Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.

(e) Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.

(f) Shall obtain the Customer’s approval before finalizing the plan for any activity.

(g) Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.

(h) Shall maintain up-to-date documentation of the data centre design layouts.

(i) Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.

(j) Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:

· Security Alarm and Security Card Access System; and

· Closed-Circuit Television (CCTV).

(k) Shall ensure that only authorised personnel are allowed to access the DCs.

· The Vendor shall ensure that all visitors to DCs are escorted during their activities on-site.

· The Vendor shall ensure that the visitors record their activities in the on-site log.

Requirement – DC Operations

Minimum Requirement:

The Vendor shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier. The DC Operator shall possess minimally the following skill sets:

(a) One (1) years of working experience in Data Centre Engineer Operations experience;

(b) Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and

(c) ITIL v4 Foundation Certification or equivalent

Work Location: Woodlands/Yishun

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

We are seeking a seasoned Data Engineer with over 3 years of relevant experience in data engineering, business intelligence, and AI-driven analytics with overall 10 years + of experience. The ideal candidate will have a proven ability to design scalable data pipelines, implement machine learning models, and deliver data-driven solutions that optimize decision-making processes. This role requires close collaboration with cross-functional teams to align business needs with technical capabilities while ensuring data integrity, security, and compliance.

Key Responsibilities

• Design, implement, and maintain ETL workflows for managing large-scale datasets.

• Develop cloud-based data pipelines (AWS, Azure) for scalable and real-time analytics delivery.

• Optimize data models to ensure high performance and reliable reporting.

• Create advanced dashboards and visualizations using tools like Qlik Sense and Tableau.

• Incorporate predictive analytics and AI-driven insights to enhance decision-making.

• Automate trend analysis and forecasting using machine learning techniques.

• Develop and integrate machine learning models for real-time predictive analytics.

• Implement AI-driven algorithms for anomaly detection, trend identification, and operational efficiency.

• Establish and enforce data governance frameworks to maintain data integrity, security, and compliance.

• Perform regular audits to ensure high-quality and consistent data systems.

• Collaborate with cross-functional teams to develop tailored data solutions.

• Mentor and train teams on best practices for business intelligence and analytics tools.

• Engage with stakeholders to understand complex business requirements.

• Deliver customized reports and data-driven insights aligned with client strategies.

Qualifications

• Education:

• Bachelor’s in Computer Applications or related field.

• Technical Expertise:

• knowledge in Qlik Sense, Tableau, and other business intelligence tools.

• Hands-on experience with cloud platforms like AWS and Azure.

• Strong skills in ETL workflows, data pipelines, and data modeling.

• Advanced knowledge of AI and machine learning frameworks, including predictive modeling and analytics.

• Certifications (Preferred):

• Qlik Sense Business Analyst Certification.

• Qlik Sense Data Architect Certification.

• Experience:

• 3+ years in data engineering, business intelligence, and AI-driven analytics.

• Proven success in leading data-driven projects and implementing scalable solutions.

• Design, develop, test, and implement Tableau dashboards and visualizations
• Supporting Business dashboards, projects, and ad-hoc requests
• Manage portfolio of existing and future Tableau dashboards and deliverables (data preparation, security design, access management, data visualizations design, testing, optimization and automation, enhancement roadmap, portfolio catalog, development prioritization, user adoption and training)
• Lead the implementation of enhanced dashboard access and data sharing security framework for Business dashboards requirements
• Deliver meaningful insights, trends, and analysis across all Business areas using a variety of internal and external data sources
• Participate in gathering requirements and consulting with customers to understand business problems and find the best way to visualize outcomes
• Participate in cross-functional projects
• Translate analysis outcomes into compelling data visualizations that are intuitive and prompt insights and actions
• Use data to tell stories by creating visually appealing reports, Tableau dashboards, and presentations for our internal customers

Job requirement

• Bachelor Degree in Computer Science or Information technology
• Basic knowledge of products, services and channels in fin tech industry
• Strong background in database concept.
• Expert in Data Visualization tools (e.g. Tableau, QlikView, Power BI etc.)

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform -

https://sg.go.persolkelly.com/job/details/10579

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E
EA License No. 01C4394 • EA Registration No. R1105286 (Ngiam Xinyi)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

Our Client:

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

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

Responsibilities

· Provide administrative support to the Department.

· Coordinate department and project activities, and prepare documents required

· Manage administrative and operational duties like scheduling, arranging and facilitating meetings

· Proper documentation of records

· Management of department’s inventory and equipment

Requirements

· GCE ‘N’ / ‘O’ / ‘A’ Levels or Diploma Holders

· Good organisational and administrative skills

· Good interpersonal, verbal and written communication skills

· Proficient in Microsoft Outlook, Word and Excel

· Good team player, have an eye for details and ability to multi-task

If you are interested in the position, do kindly drop your most updated resume to [email protected]

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

We are currently looking for a skilled Data Analyst to become an integral part of our team, focusing on the development of data-driven solutions aimed at enriching our customer relationship management (CRM) strategy to drive performance.

• Analyze and interpret large and complex datasets to develop data-driven insights.
• Collaborate with cross-functional teams to identify opportunities for data science solutions to improve our CRM systems and processes.
• Identify opportunities for process optimization, automation, and data-driven decision-making.
• Communicate complex analytical insights and solutions to stakeholders clearly and concisely.
• Build partnership with strategy team to showcase to refine campaign strategy and efficiencies
• Be the key PIC for insights generation for the assigned market cluster
• Timely delivery of analysis as per aligned timelines

Job Requirements:

• 3+ years of data analysis experience
• Bachelor’s or master’s in computer science, Statistics, Mathematics, or related field
• Proficient in SQL & GCP; strong knowledge of Python
• Experience in strategy and CRM is a plus
• Familiarity with SAP Hybris or Adobe Campaign is a strong advantage
• Ability to translate customer and performance data into actionable CRM insights

If you are a self-motivated data analyst with a strong passion for using data to solve complex business problems, we would love to hear from you!

Role Purpose

In addition to applying advanced statistical and machine learning techniques, the Data Scientist takes on additional responsibilities related to team leadership and technology focus. This role requires strong technical expertise and the ability to guide and mentor a team of data scientists.

Roles & Responsibilities

• Collaborate with stakeholders to define data science strategies, objectives, and priorities.
• Drive the development and deployment of complex predictive models and machine learning algorithms.
• Accountable for data science input into the design, development, and implementation of major solutions, and where necessary methodological direction provided to direct reports.
• Accountable (owns) the completeness and accuracy of the Analytics Requirements.
• Owns the configuration and Implementation of data science models using the agreed technologies components (e.g., Python).
• Able to manage multiple deployments concurrently.
• Ownership of Analytics Quality assurance and testing for solutions within the scope of the domain.
• Lead and manage data scientists assigned within product development, providing technical guidance, mentorship, and performance feedback.
• Communicate data science initiatives and results to senior management and other relevant stakeholders.
• Update the team with the latest advancements in data science technologies and tools and assess their potential impact on the team's work.
  

Requirements

• Advanced degree or equivalent experience in the quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science, or Analytics.
• 4+ years of experience in statistical / ML data modeling and business intelligence/data mining.
• Diverse knowledge of where to apply and how to evaluate results of statistical, machine learning, and data mining techniques.
• Fluency in programming languages\frameworks: SQL, Python, TensorFlow.
• Strong visual design skills used in creating information-dense, easy-to-understand reports and dashboards (with examples): Tableau, MS Power BI, Python, or JavaScript-based visualizations.
• Working knowledge of Agile and DataOps.
• Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
• Good knowledge of at least two functional areas: customer relationships and sales, freight forwarding/express/e-com/logistics operations, pricing, customer service, aviation operations, finance, and billing.
• Excellent communication and presentation skills (English), including translating technical concepts for non-technical stakeholders.
  

JD:
o Good programming skills in Python
o Must possess experience or interest in training and deploying machine learning models end to end.
o Good understanding of basic statistics and deep learning techniques
o Prior experience in data integration, profiling, validation and cleansing
o Proficiency with SQL
· Software delivery
o Strong understanding of agile methodologies
o Strong understanding of CI/CD
o Strong understanding of test-driven development
o Comfortable using version control and enterprise task management tools.
· Data Engineering
· Experience in deploying TensorFlow and PyTorch into production
o Building data pipelines and architecture
o Should have extensive experience with relational and NO-SQL databases
o Should have proficiency in handling both structured and unstructured data sources
o Strong experience deploying applications to cloud platforms like Azure, AWS
o Interest in building efficient batch and streaming data engineering pipelines
o Exposure to distributed data processing platforms like Spark?.Data Engineer

We are seeking a seasoned Data Engineer with over 3 years of relevant experience in data engineering, business intelligence, and AI-driven analytics with overall 10 years + of experience. The ideal candidate will have a proven ability to design scalable data pipelines, implement machine learning models, and deliver data-driven solutions that optimize decision-making processes. This role requires close collaboration with cross-functional teams to align business needs with technical capabilities while ensuring data integrity, security, and compliance.

Key Responsibilities

• Design, implement, and maintain ETL workflows for managing large-scale datasets.

• Develop cloud-based data pipelines (AWS, Azure) for scalable and real-time analytics delivery.

• Optimize data models to ensure high performance and reliable reporting.

• Create advanced dashboards and visualizations using tools like Qlik Sense and Tableau.

• Incorporate predictive analytics and AI-driven insights to enhance decision-making.

• Automate trend analysis and forecasting using machine learning techniques.

• Develop and integrate machine learning models for real-time predictive analytics.

• Implement AI-driven algorithms for anomaly detection, trend identification, and operational efficiency.

• Establish and enforce data governance frameworks to maintain data integrity, security, and compliance.

• Perform regular audits to ensure high-quality and consistent data systems.

• Collaborate with cross-functional teams to develop tailored data solutions.

• Mentor and train teams on best practices for business intelligence and analytics tools.

• Engage with stakeholders to understand complex business requirements.

• Deliver customized reports and data-driven insights aligned with client strategies.

Qualifications

• Education:

• Bachelor’s in Computer Applications or related field.

• Technical Expertise:

• knowledge in Qlik Sense, Tableau, and other business intelligence tools.

• Hands-on experience with cloud platforms like AWS and Azure.

• Strong skills in ETL workflows, data pipelines, and data modeling.

• Advanced knowledge of AI and machine learning frameworks, including predictive modeling and analytics.

• Certifications (Preferred):

• Qlik Sense Business Analyst Certification.

• Qlik Sense Data Architect Certification.

• Experience:

• 3+ years in data engineering, business intelligence, and AI-driven analytics.

• Proven success in leading data-driven projects and implementing scalable solutions.

Our Client:

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

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

✨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

Responsibilities

Pharmacy Operational duties

• Processing medication orders
• Picking, packing and labeling of medicines in accordance to Standard Operating Procedures ( SOP)
• Perform the following medication reconciliation steps: counting, sorting and typing of prescriptions
• Perform billing functions

Provision of quality customer service

• Provide professional and courteous service to all patients/customers

Inventory Management

• Review and update inventory level base on consumption on a regular basis
• Oversee storage conditions, expiry checks, audits and reporting of defects of drug products within the institutions
• Plan and ensure that cycle counts and stock take are conducted accurately and accordingly to the StandardbbOperating Procedures
• Sterile and Non-sterile Manufacturing (Laboratory & Cancer Centre Pharmacy)

Requirements

• Min Dip in Pharmaceutical Science (Clinical Track)
• Those with pharmacy tech exp will be an advantage
• Those without exp are welcome to apply

Office hours / Shifts available!

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Ptd Ltd (99C4599)

#WE ARE EXPANDING#

Our company is having a end of year recruitment drive! We are looking for people who are fresh graduates / career switch / ORD!

We are a marketing company that helps different industries to promote their level to be at a different playing field.

Job scope:
⁃ Provide the brand awareness to potential customers
⁃ Increasing market share for our partner clients

Perks:
⁃ Subsidised overseas business trip
⁃ 1-1 mentorship provided throughout
⁃ No minimum years of experience required

Requirements:
⁃ Enthusiastic and positive
⁃ Keen to learn
⁃ Fun and out-going

If you are interested to find out more, feel free to apply to find out more!