• Listed MNC
• Salary Package: Basic $3,500 + $5,000 + Bonus + Incentives
• Working Days: 5 Days Work Week
• Working Location: Changi - Company Transport at Simei MRT

Job Responsibilities:

• Maintain shipboard electronics systems for operational readiness.
• Install and remove equipment and systems efficiently.
• Perform repair and servicing of electronics units and assemblies.
• Manage maintenance operations at team, workshop, or department level.
• Opportunities for short-term overseas attachment and training courses.

Job Requirements:

• NITEC or Diploma in Electronics Engineering or equivalent.
• Comfortable working on shipyard and 24/7 standby capability.
• Entry Level is welcome to apply.

Interested applicant are welcome to apply online with updated Resume/CV via Apply Now button.

.: Only shortlisted candidate will be notified :.

Kong Min Wei, Brian

EA Personnel No: R23113861

. Confirm Order

. Purchase Order

· Delivery Order

· Invoicing

· Verifying and Segregating Invoice and Packing List

· Inventory Control

· Update Data and Maintaining Accurate and Up-to-date information

. Liaise with customers for delivery schedule

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 2 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 2 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 2 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Job Scope:

We are seeking a highly motivated junior data engineer to join the Data Engineering Practice team. The ideal candidate will assist in the following :

• Learn more about data pipelines, and how to apply them effectively.
• Plan logistics and coordinate events and workshops
• Assist in evaluating quality of data
• Strong problem-solving skills and attention to detail
• Ability to work collaboratively in a team environment

This role is perfect for someone looking to start their career in data engineering and who enjoys working with data to drive insights and support business decisions.

Requirements:

• A diploma or bachelor’s degree, preferably in Computer Science, Software Engineering, Information Technology or related disciplines
• Event/workshop planning
• Written technical documents
• Strong knowledge of databases, and how they work
• MS office
• Demonstrate knowledge in cloud technologies
• Python
• Knowledge of frontend framework is preferred (e.g. NodeJS)

Responsibilities:

• Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of price, fuel, network flow, supply chain optimization, and demand planning.
• Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software
• Research, prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment
• Analytical Skills: Strong ability to analyze complex problems, develop mathematical models, and interpret results.
• Mathematical Proficiency: Solid understanding of optimization techniques, linear programming, integer programming, and other mathematical methods.

Job Requirements:

• Master or Bachelor Degree in Operations Research, Mathematical Optimization, Statistic, Computer Science or a related field with 2 years of similar job experience
• Expertise in at least one of the areas of convex optimization, robust optimization and supply chain management Strong coding skills (one or more of Python or R) and experience using one or more commercial optimization solvers
• Capable of building optimization models and implementing them with the ability of validating and simulating math optimization model
• Experience in data science, with a focus on solving optimization problems. industries such as logistics, manufacturing, finance, or tech is preferred.
• Demonstrated experience in leading optimization projects from conception to deployment, including model development, validation, and implementation.

Please include the following information in your resume.

• Current & Expected Salary
• Reason(s) for leaving
• Notice Period / Availability to commence work

By submitting any application or resume 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 only short-listed candidates will be notified.

EA License | 18C9251 WGT Group

Registration No | R22111484 Ketty Lim

Responsibilities:

Intellectual Property Management:

Oversee all intellectual property matters, including the application, maintenance, and protection of patents, trademarks, and copyrights.

Provide legal advice on intellectual property issues to ensure the lawful protection of the company’s innovative outputs.

Manage relationships with external lawyers and agencies to handle intellectual property-related disputes and litigation.

Develop and implement strategies for intellectual property protection to prevent potential infringements.

Data Compliance:

Ensure the company’s compliance with relevant laws and regulations in data collection, processing, storage, and sharing.

Ensure that company operations comply with global data privacy and protection regulations.

Review and update data protection policies, identifying and mitigating legal risks related to data processing.

Collaborate with IT and data teams to implement best practices in data protection and conduct regular compliance audits.

Contract Review and Management:

Review, draft, and negotiate contract terms related to intellectual property and data protection.

Ensure all contracts adhere to company policies and external legal requirements.

Legal Training & Compliance Awareness:

Provide training to company employees on intellectual property, data protection, and compliance-related matters.

Enhance the company’s overall legal compliance awareness, ensuring all departments understand and follow relevant regulations.

Requirements:

Bachelor’s degree or higher in Law with a valid legal practice qualification.

At least 5 years of experience in intellectual property and data compliance.

Familiarity with domestic and international intellectual property laws and data protection frameworks.

Excellent communication and negotiation skills, with the ability to collaborate with various stakeholders on complex legal issues.

Strong analytical and problem-solving skills, with the capability to work effectively under pressure.

Benefits:

Competitive salary and bonus structure.

Comprehensive medical insurance, pension, and other benefit plans.

Extensive career development opportunities and training resources.

Responsibilities:

Intellectual Property Management:

Oversee all intellectual property matters, including the application, maintenance, and protection of patents, trademarks, and copyrights.

Provide legal advice on intellectual property issues to ensure the lawful protection of the company’s innovative outputs.

Manage relationships with external lawyers and agencies to handle intellectual property-related disputes and litigation.

Develop and implement strategies for intellectual property protection to prevent potential infringements.

Data Compliance:

Ensure the company’s compliance with relevant laws and regulations in data collection, processing, storage, and sharing.

Ensure that company operations comply with global data privacy and protection regulations.

Review and update data protection policies, identifying and mitigating legal risks related to data processing.

Collaborate with IT and data teams to implement best practices in data protection and conduct regular compliance audits.

Contract Review and Management:

Review, draft, and negotiate contract terms related to intellectual property and data protection.

Ensure all contracts adhere to company policies and external legal requirements.

Legal Training & Compliance Awareness:

Provide training to company employees on intellectual property, data protection, and compliance-related matters.

Enhance the company’s overall legal compliance awareness, ensuring all departments understand and follow relevant regulations.

Requirements:

Bachelor’s degree or higher in Law with a valid legal practice qualification.

At least 5 years of experience in intellectual property and data compliance.

Familiarity with domestic and international intellectual property laws and data protection frameworks.

Excellent communication and negotiation skills, with the ability to collaborate with various stakeholders on complex legal issues.

Strong analytical and problem-solving skills, with the capability to work effectively under pressure.

Benefits:

Competitive salary and bonus structure.

Comprehensive medical insurance, pension, and other benefit plans.

Extensive career development opportunities and training resources.

Responsibilities:

Intellectual Property Management:

Oversee all intellectual property matters, including the application, maintenance, and protection of patents, trademarks, and copyrights.

Provide legal advice on intellectual property issues to ensure the lawful protection of the company’s innovative outputs.

Manage relationships with external lawyers and agencies to handle intellectual property-related disputes and litigation.

Develop and implement strategies for intellectual property protection to prevent potential infringements.

Data Compliance:

Ensure the company’s compliance with relevant laws and regulations in data collection, processing, storage, and sharing.

Ensure that company operations comply with global data privacy and protection regulations.

Review and update data protection policies, identifying and mitigating legal risks related to data processing.

Collaborate with IT and data teams to implement best practices in data protection and conduct regular compliance audits.

Contract Review and Management:

Review, draft, and negotiate contract terms related to intellectual property and data protection.

Ensure all contracts adhere to company policies and external legal requirements.

Legal Training & Compliance Awareness:

Provide training to company employees on intellectual property, data protection, and compliance-related matters.

Enhance the company’s overall legal compliance awareness, ensuring all departments understand and follow relevant regulations.

Requirements:

Bachelor’s degree or higher in Law with a valid legal practice qualification.

At least 5 years of experience in intellectual property and data compliance.

Familiarity with domestic and international intellectual property laws and data protection frameworks.

Excellent communication and negotiation skills, with the ability to collaborate with various stakeholders on complex legal issues.

Strong analytical and problem-solving skills, with the capability to work effectively under pressure.

Benefits:

Competitive salary and bonus structure.

Comprehensive medical insurance, pension, and other benefit plans.

Extensive career development opportunities and training resources.

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in communicating with English and Chinese speaking customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.
• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.
• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.
• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

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

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 5 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 5 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 5 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 5 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.
• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.
• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.
• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

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

Job Scope

We are seeking a highly motivated and experienced candidate to join our Technology team.

• As a Solutions & Data Warehouse Architect, you will be responsible for creating and maintaining the technical vision and architecture of enterprise data warehouse, other complex IT systems and solutions.
• You will work closely with cross-functional teams to design and implement scalable, secured, and high-performing systems that meet the business requirements.
• Additionally, this role require expertise in data modelling, ETL processes, and data warehousing, along with a strategic mindset to align data solutions with business objectives.
• The ideal candidate will have extensive experience in handling complex data environments and a strong ability to translate business needs into technical solutions.
• The ideal candidate shall note that the role focuses more on design and planning function.
• The ideal candidate shall also manage any outsourced 3rd party contractor(s) who will be involved in the engineering build/ dev-ops and support/ operations maintenance and support functions.

Job Responsibilities:

Solutions Architect

• Develop and maintain the overall technical architecture for a variety of ICT systems and solutions.
• Collaborate with cross-functional teams to understand business requirements and translate and document them into technical solutions.
• Design and implement scalable, secure, and high-performing systems that meet business needs.
• Ensure the compatibility of different systems and solutions and promote integration where appropriate.
• Provide technical guidance and support to relevant project teams and stakeholders.
• Develop and implement best practices for systems and technical solutions, design, development, integration, deployment, and maintenance.
• Stay up to date with emerging technologies, tools, and platforms to improve existing systems and solutions.
• Communicate technical concepts and solutions to both technical and non-technical stakeholders.

Data Warehouse Architecture

• Design and develop data warehouse architecture to meet business requirements and support business intelligence initiatives.
• Collaborate with business stakeholders to understand data needs and translate them into technical specifications.
• Develop, implement, and optimize ETL processes to ensure efficient data extraction, transformation, and loading.
• Create and maintain data models, schemas, and metadata to support data integration and reporting.
• Ensure data quality, consistency, and integrity across all data warehouse components.
• Monitor and troubleshoot data warehouse performance and scalability issues.
• Stay up-to-date with emerging trend and technologies in data warehousing and business intelligence.
• Provide technical guidance and mentorship to junior team members.

Job Requirements:

• Strong technical knowledge and experience in a variety of systems and solutions, including the following:

o Cloud computing technologies (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform, Ali-Cloud etc)

o Virtualization technologies (e.g., VMware, Hyper-Visor)

o High-availability system design concepts to empower mission critical live events (example: sports and entertainment)

o Operating systems (e.g., Windows, Linux)

o Proficiency in SQL and experience with database technologies (e.g.Oracle, Microsoft SQL Server, Postgres, NoSQL)

o Networking technologies (e.g., TCP/IP, DNS, DHCP)

o Cyber-Security technologies and concepts (e.g., penetration testing, vulnerability assessment, firewalls, intrusion detection systems, cryptography etc)

o DevOps tools and practices (e.g., Continuous Integration, Continuous deployment)

• Experience working with Enterprise Architecture tools and methodologies (e.g. TOGAF, ArchiMate, Blue Dolphin, Microsoft Visio etc.)
• Experience with ETL tools (e.g., Informatica, Talend, SSIS).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
• Business Intelligence and Analytics technologies (e.g., Tableau, Power BI, QlikView)
• Experience in architecting and documenting data and system integration
• Experience in data and information architecture (e.g data flow and data lineage)

Pre-requisities:

• Degree in Computer Science, Engineering, Information Systems or related discipline
• Minimum 5 years of experience in IT project management, with good appreciation of business needs and strong experience in digital build.
• Candidates with more experience may be appointed at Senior Manager level.
• Industry certifications in the following or equivalent will be a plus. (i.e. PMP, CITPM, Agile, SCRUM, COBIT, ITIL Change Management, Design Thinking etc).
• End-to-end systems implementation experience (of both SaaS and COTS solution) in two or more of the following business domain areas in either Public Sector OR Sports, Entertainment and Lifestyle industry will be advantageous:

o Point-of-Sales (for consumer F&B and events catering), includes onsite and mobile POS equipment.

o Digital signage systems and content management system.

o Public customer facing (Web, App and Digital Maps) for commercial venues.

o Customer relationship management system (CRM), and Marketing Automation.

o Digital twin, video analytics for public safety, people counting etc.

o Retail mall systems

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking English and Chinese

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4. Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

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

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4 Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

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

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking English and Chinese

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Responsibilities:

1. Data Pipeline Development and Maintenance:

• Design, develop, and optimize large-scale data pipelines to facilitate efficient data collection, processing, and storage.
• Maintain and monitor existing data pipelines, ensuring high data availability and consistency.

2. Data Processing and Analysis:

• Develop and refine data processing algorithms capable of handling and analyzing vast amounts of data.
• Utilize distributed computing frameworks such as Hadoop and Spark for scalable data processing.

3. Data Storage and Management:

• Design and maintain robust, large-scale data storage solutions using technologies like HDFS, Cassandra, NoSQL and BigQuery. Implement data management practices to ensure data integrity and security.

4. Collaboration and Communication:

• Collaborate with data scientists, analysts, and other stakeholders to accurately understand data requirements and deliver effective solutions.
• Communicate complex data concepts and insights clearly to non-technical stakeholders.

5. Stay informed on the latest trends and advancements in big data technologies.

• Continuously evaluate and enhance the existing data infrastructure and processes to improve performance and scalability.

Requirements:

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