Our client is actively searching for a Manager/Asst Manager, Data eXchange Unit to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

The responsibilities of this role are:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement hospital's Data Strategy to enable data exploitation for meaningful and insightful decision making.
• Develop, review and update hospital's data-related policies to ensure alignment with Ministry of Health’s (MOH) and National Healthcare Group’s (NHG) data policies (e.g., MOH’s HealthTech Instruction Manual - Data Management (HIM-DM) and NHG Data Access & Sharing Policy).
• Oversee the management and maintenance of Platform for one-stop request in hospital (PorT) to facilitate data requests by hospital and NHG staff. Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other NHG institutions’ DXOs and external parties for data request as well as to contribute to NHG’s analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal (e.g. tracking and maintaining registries of data access, monitoring of data handling and disposal processes).
• Collaborate with relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms such as Oracle OBIEE/OAS, SharePoint, NGEMR, etc.
• Oversee the secretariat support for departmental and hospital working committees to support hospital’s digital transformation agenda and build communities of practice to share knowledge and best practices (e.g. Data Management Working Committee (DMWC) and Artificial Intelligence and Data Analytics (AiDA) Digital Innovation Technologies (DIT) committee).
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

The ideal candidate will need to have the following qualities and experience:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy as a strong advantage
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.
• Familiarity with public healthcare operations with working knowledge of data management, handling, and governance, and the regulatory requirements pertaining to the usage and sharing of data will be an added advantage

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

JD:
Big Data Developer
 Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
 Experience in designing application solutions in hadoop ecosystem
 Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
 HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
 Good knowledge in data warehousing system
 Experienced in any scripting language (SHELL, PYTHON)
 HortonWorks distribution and understanding on SQL engines (Tez, MR)
 Java/RestServices/Maven experience is a value addition
 Control-M development. Monitoring Resource utilization using Grafana Tool
 Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
 Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
 Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Job Scope:

a) To support the design of data collection channels

b) To support data integration between data collection channels and dashboard

c) To support the identification of opportunities for process automation and improvements

Requirements:

a) Business Intelligence

• Proficient in Microsoft Excel, e.g., creation of databases and usage of calculations/formulas

• Familiar with the applications in Tableau

• Experience with data analysis and reporting tools

• Ability to translate raw data into actionable insights

b) Process Innovation

• Creative problem-solving skills to streamline workflows

• Knowledge of project management tools and techniques

c) Soft Skills

• Strong analytical thinking and problem-solving abilities

• Good communication skills for liaising with team members

Location: Buona Vista

Salary: $13/hour

Working Arrangement:

Contract Period: 6 months

EA License No: 96C4864

Reg. No.: R24121728 EUNICE WOO JING QI

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.
Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:

• Meticulous and show great attention to detail. (Important)
• Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. Important)
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

Interested candidates kindly submit your updated CV in a Word Format to: [email protected] shortlisted candidates will be notify. Thank you.

• Develop and implement methods, processes, and systems to consolidate and analyze diverse, unstructured data sources, delivering actionable insights for management.
• Create and code software programs, algorithms, and automated processes to clean, integrate, and evaluate large datasets from multiple sources.
• Collaborate with business experts to enrich data and uncover meaningful insights to build practical solutions.
• Automate repetitive data tasks to improve efficiency and reduce manual intervention.
• Design data visualizations to clearly present findings and recommendations to stakeholders.
• Stay updated on the latest trends and best practices in data science, machine learning, and artificial intelligence.
• Support Global IFF Business Control with various tasks and project requirements.
• Assist with administrative duties and ad-hoc tasks as assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Job Descriptions

• Supervise electrical installation works at construction sites, ensuring adherence to project specifications and timelines.
• Coordinate daily site activities and monitor progress to ensure quality and safety standards are met.
• Provide guidance and technical support to electricians and other site personnel.
• Review electrical plans and drawings to ensure compliance with safety standards and local regulations.
• Liaise with clients, contractors, and project managers to ensure smooth operations and resolve any issues.
• Conduct site inspections and ensure proper documentation of work performed.
• Ensure all electrical systems and equipment are installed in line with best practices and regulatory guidelines.
• Manage subcontractors and suppliers and project procurement.
• Project meetings and reviews to ensure targets are met.
• Any ad-hoc duties assigned by department head.

Job Requirements

• Diploma or Degree in Electrical Engineering or a related field.
• At least 6 years of relevant experience in electrical site supervision.
• Strong knowledge of electrical systems, wiring, and construction safety standards.
• Ability to read and interpret electrical drawings and specifications.
• Excellent communication, leadership, and problem-solving skills.
• Experience with project coordination and site management is preferred.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us.

Location: Central

Roles and Responsibilities:

• Design and develop scalable data pipelines using Databricks, ensuring data integrity and availability.
• Collaborate with stakeholders to understand their data needs and provide solutions.
• Assist users in utilizing Databricks effectively, providing training and support to enhance their data processing and analysis capabilities.
• Monitor and optimize data workflows and queries for performance improvements.
• Implement best practices for data governance, security, and compliance within Databricks environments.
• Document data architecture, pipelines, and processes for knowledge sharing and future reference.
• Troubleshoot and resolve issues related to data processing and Databricks functionalities.

Skills Required:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer with a strong focus on Databricks.
• Proficiency in Python/Pyspark and data modeling techniques.
• Experience with ETL tools and data integration processes.
• Excellent communication skills with the ability to explain complex concepts to non-technical users.
• Experience in providing user support and training is highly desirable.

Responsibilities

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Requirements

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Interested applicants, please Email , and look for [email protected]

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

Education/Experience

• Diploma/Degree in Computer Engineering, Computer Science, Information Technology, or related technical field.
• At least 2 years of relevant experience preferred.

Job Description

• Install, configure, and manage Cloudera CDP 7.x clusters.
• Ensure cluster security, governance, and high availability.
• Monitor and maintain cluster performance and health.
• Handle daily operations, backup, recovery, and technical user support.
• Develop and update documentation for Hadoop configurations and processes.

Skill Sets

• Knowledge of Cloudera CDP runtime components.
• Proficiency in Linux administration and shell scripting.
• Familiarity with Kerberos, LDAP, and database administration (MySQL/PostgreSQL).
• Advantageous skills:Cloudera Data Services.
  Python environment and package management.
  Docker/Kubernetes.
  
• Strong problem-solving and troubleshooting skills.
• Ability to work both independently and collaboratively.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

• Support the division in implementing Digital Transformation projects to enhance service quality and reduce costs.
• Analyze and assess operational needs and user requirements across various Business Units and departments.
• Collaborate with stakeholders to define data needs and gather relevant information.
• Oversee project planning, ensure appropriate IT solution implementation, and align solutions with operational goals.
• Conduct statistical analysis, data mining, and pattern recognition to identify trends, correlations, and actionable insights, accompanied by clear visual presentations.
• Lead project development initiatives to boost operational productivity and efficiency through the adoption of digital transformation tools.
• Coordinate and manage projects with the team, ensuring timely delivery and alignment with company strategies.
• Provide well-organized data for advanced analysis and perform additional tasks as assigned.

Requirements:

• Bachelor's degree in Information Technology, Computer Science, or a related discipline.
• Proven experience in IT, development, or related fields.
• Strong knowledge of digital transformation and automation tools, including Microsoft Power Platform, SharePoint, Power BI, MS SQL, Knime, Python, and cloud platforms.
• Excellent communication and interpersonal skills; meticulous, well-organized, and a resourceful team player.
• Highly self-motivated individual who can work independently with minimal supervision.

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Requirements:

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in Designing and developing applications using Python and Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Advantageous experience includes:

1. Working in the financial or banking industry.
2. Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Interested applicants may send in their detailed resumes in MS Word to [email protected] with email subject: 120-Data Engineer

Best Regards

IT Consultancy & Services Pte Ltd

EA No: 92C5311 | EA Reg No. R1106648 | www.itcspl.com

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Job Summary:

• Industry: Healthcare
• Location: Novena
• Work Schedule: 8:30am to 6pm (Mon to Thu) and 8:30am to 5:30pm (Fri)

Job Responsibilities:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement the company’s Data Strategy for decision making purposes
• Develop, review and update data-related policies to ensure alignment with the national data policies
• Oversee the management and maintenance of the company platform for data request to facilitate data requests by staff.
• Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other institutions and external parties for data request as well as to contribute to the group analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal
• Collaborate with the relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms
• Oversee the secretariat support for departmental and hospital working committees to support digital transformation agenda and build communities of practice to share knowledge and best practices
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

Job Requirements:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

Qualifications

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified
• Symantec Certified Expert: Administration of Data Loss Prevention (any version)

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Scientist/Quantitative Research position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai, Singapore, and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Conduct rigorous, open-ended research to address complex business questions using diverse datasets, deriving actionable insights that provide a competitive edge for the company

· Develop and maintain high-quality datasets, integrating internal and external data sources to support advanced analytics and machine learning initiatives.

· Build and deploy AI/ML models to address a range of business needs, from operational automation to strategic decision-making, ensuring models are impactful and aligned with organizational goals.

· Analyze and prioritize the company's key challenges, applying the 80/20 principle to focus efforts on high-impact problems.

· Foster a culture of learning and innovation by documenting processes, results, and data products to ensure transparency, reusability, and organizational knowledge sharing.

Requirements:

· Strong analytical mindset with a proven ability to extract deep, non-obvious insights through persistent inquiry and statistically rigorous methods.

· Resourceful problem-solving skills with the ability to source and integrate diverse data types, even when datasets are incomplete or unavailable.

· Interest or experience in maritime logistics, demand planning, pricing strategies, or similar domains.

· A degree in statistics, mathematics, computer science, economics or similar fields from a leading university

· Professional fluency in English or Mandarin to facilitate effective communication across diverse teams.

Desirable Qualities:

· Academic research experience, particularly in areas relevant to logistics, operations research, or econometrics.

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 7,200 employees globally in more than 54 offices in 46 countries.

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

We are inviting candidates for the position of:

Data Analyst

The Data Analyst is experienced in online marketplace industry towards data analysis. He/She will be responsible for managing project with various form of data analytics from performance to competitor’s analysis.

He/She is a great communicator, loves being a team-player, passionate in digital data and leadership in developing the highest quality of deliverables.

Responsibilities

· Manage large volume of raw data by filtering, sorting, processing and analysing.

· Prepare and present compiled data into reporting format in accordance to client specification.

· Data discipline and ensuring accuracy.

· Manage campaigns performance and weekly competitor’s analysis reports.

· Understand and manage the concept of project own digital automation.

Requirements

· Proficient in Microsoft office and excellent in Excel (Vlookup, Pivots etc).

· Minimum 2 years’ experience in online marketplace industry.

· Experience in handling large volume of data.

· Experience in Adobe Analytics, GA4

· Able to create dashboards using data visualization platforms such as Looker Studio or Tableau

· Experience in livestream analytics

· Minimum Polytechnic Diploma/Bachelor’s Degree holder (or higher).

· Knowledge ecommerce operation in SEA marketplaces including but not limited to Lazada, Shopee, Amazon and eBay.

· Self-motivated, persistent, hardworking, team player and a committed individual.

· Effective communication (verbal and written); Good command of the English language.

· Knowledge and experience in Data Visualization tools (Tableau) or data driven marketing is a plus.

Manage new Data Center project execution from inception to delivery of hyperscale data centres with related activities for new builds and fit out projects (mainly in Japan, United States and Australia); eventually to be responsible for building strategic relationships with key clients, both externally and internally, and bolster the company's market position.

· Develop and manage detailed project plans, including scope, timelines, and resource allocation for Megaspeed strategic initiatives

· Collaborate with our top cloud and enterprise customers and communicate presentations on all aspects of design

· Oversee the entire project lifecycle, from conceptual design through construction and commissioning, ensuring timely and budget-compliant delivery.

· Manage relationships with internal and external stakeholders, ensuring clear and consistent communication throughout the project lifecycle

· Develop high level master planning, space planning and engineering solutions for potential new developments (feasibility stage)

· Coordinate technical aspects of direct procured equipment and facilitate alignment with the design team

· Understand commercial implications of engineering decisions and build cost models for customers

· Oversee to ensure Environment, Safety and Occupational Health implementation

· Leverage local subject matter expert's tribal knowledge, spread adoption of best practices

· Coordinate closely with data centre field operations to foster alignment and partnerships for business success

· Provide regular reporting, updates and presentations to senior management and internal stakeholders including progress reporting, risk assessments, investment committees, customer proposals and business case development

· Build and manage project scope, equipment requirements and assist with proposals and capital requests

· Must be familiar with data centre industry trends, best practices, and emerging technologies, incorporating them into designs and builds as appropriate

Job Description

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Big Data Engineer or similar role.
• Strong proficiency in Apache Spark and Scala programming.
• Experience with big data technologies such as Hadoop, Hive, Kafka, etc.
• Familiarity with data warehousing concepts and tools.
• Knowledge of SQL and NoSQL databases.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of machine learning frameworks and libraries.
• Experience with containerization and orchestration tools like Docker and Kubernetes.

EA Number: 11C4879

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Technicians to join their expanding team!

Location: Lakeside / Admiralty

Working hours: Monday to Friday, Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Be involved in new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma in Building / Facility Management or any other related field
• Some relevant experience in Data Centre facility management and vendor management is a good bonus
• Good knowledge in building technology, mechanical and electrical services and facilities management

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Working Hours: 24/7 shift basis

Shift Allowance: SGD 200/m

DC Ops Engineer is required to follow given policies, processes and procedures including, but not limited to :

• Monitoring procedures.
• Batch job review and recovery.
• Production error escalation.
• Backup and recovery management procedures.
• Disaster recovery procedures.
• Environmental Monitoring.
• Security Management.
• System and Network Monitoring.
• Production Control and Scheduling.
• System Backup, Recovery, Media and Offsite Management.
• User ID Management.

Monitoring of alert

Monitor any alert via email or monitoring application provide by CLIENT

Escalate all alerts received to the Tech Support or DPE / SDM

Raise Tickets and assigned to Tech Support

Backup Tapes

To load and unload backup tapes as per schedules

Sent backup tapes to offsite

Received tapes from offsite

Involve with DR exercise

Escort Duties

Perform escort duties for VENDOR to enter the datacentre

Physical Check

Perform datacentre physical check to ensure NO combustible items and all server racks are lock at all times

Server Reboot

Perform servers reboot as when is required by the Tech Support

EA License # 14C6941

Key Responsibilities:

• Monitor data center operations and systems to ensure peak performance.
• Conduct routine inspections and maintenance of equipment.
• Support the installation, configuration, and troubleshooting of hardware and software.
• Respond to alerts and incidents, performing diagnostics and problem resolution.
• Maintain accurate logs and documentation of technical issues and resolutions.
• Assist in capacity planning and performance tuning activities.
• Collaborate with other teams to ensure seamless operations and support.