Total 4,022 data entry job vacancies in Information Technology category in Singapore

Skill Highlights:

• Spark

• Scala

• Elasticsearch

• Kafka

• Java

• AWS

• Airflow

• Hadoop

• Kubernetes

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process, transform, and analyze large volumes of data.
• Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
• Optimize and tune existing data pipelines for performance, reliability, and scalability.
• Ensure data quality and integrity through validation, testing, and troubleshooting of data processes.
• Stay updated with industry best practices and emerging technologies in big data and distributed computing.

• Bachelor's/Master’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer with expertise in Spark and Scala.
• Strong proficiency in building and optimizing big data pipelines and workflows.
• Hands-on experience with distributed computing frameworks (Spark, Hadoop, etc.) and related tools.
• Solid understanding of database technologies (SQL, NoSQL) and data warehousing concepts.
• Excellent problem-solving skills with a proactive attitude towards learning and adapting to new technologies.

PRODUCT AREA

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

JOB DESCRIPTION

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

ADDITIONAL JOB DESCRIPTION

As a Solutions Architect, you will work with customers and other customer-facing roles to help design and optimize customers' use of Google Cloud to address their business problems. We scale our knowledge and learnings from working on customer problems by creating solutions, blueprints, and public strengths. In this role, you will work with customer employees from different disciplines and functional roles, and help decision-makers understand and choose the benefits of Google Cloud for their business to help drive growth and success. Your collaboration with other customer-facing roles within Google Cloud will help the various teams within customer organizations understand how to implement solutions running on Google Cloud.

Qualifications

JOB RESPONSIBILITIES

• Provide subject matter expertise around technical infrastructure and applications.
• Communicate across customer organizations and become a trusted advisor to decision-makers.
• Create content/strengths to scale your knowledge.
• Define the business case for solutions, and guide the solution through launch to market by working collaboratively with other go-to-market teams.
• Travel regularly up to 30% in-region for meetings, technical reviews, and onsite delivery activities.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, a related engineering field, or equivalent practical experience
• 10 years of experience in cloud computing (e.g., infrastructure, storage, platforms, and data), cloud market, competitive dynamics, and customer buying behavior
• Experience in Data analytics and Vertex AI within a cloud based environment

PREFERRED QUALIFICATIONS

• Master's degree in Computer Science, related engineering field, or equivalent work experience in a software/systems engineering or lead position
• Experience working with a variety of technology systems, designing solutions, or developing business applications
• Experience with Kafka, MapReduce, Hadoop, Spark, Flume, Hive, Presto, SparkSQL, BigQuery, and/or Dataflow/Beam
• Understanding of data and information management as it relates to Big Data or Streaming Data Pipeline
• Ability to translate/communicate complex technical concepts in an approachable way for broad audiences, empowering them with memorable and useful information

Roles & Responsibilities

Responsibilities

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• Type in data provided directly from customers
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Other admin jobs as assigned

Requirements and skills

• Proven experience as data entry clerk
• Fast typing skills; Knowledge of touch typing system is strongly preferred
• Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)
• Working knowledge of office equipment and computer hardware and peripheral devices
• Basic understanding of databases
• Good command of English and Chinese both oral and written and customer service skills
• Great attention to detail
• good communication skills, fast typing, and accuracy. A high concentration level is necessary. They must stay focused on their task while working with limited distractions from other things. Working with technology is also essential, as they work primarily from a computer.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

This is a group of experts who collect and combine data from different sources and formats. They use various ways to process, analyze, and present the data in a meaningful and useful way. They also provide insights and solutions based on the data to support the organization or its customers. They help to improve the decision-making and performance of the organization. This group is a very important part of the organization’s data strategy and management.

Responsibilities

1. Familiar with one of Python/Java/Go/C++ with demonstrable coding ability.

2. Familiar with mainstream data aggregation technologies and frameworks, such as Selenium/Puppeteer/Scrapy/PhantomJS, etc.

3. Familiarity and practical experience in tackling common anti-crawling methodologies & strategies.

4. Familiarity and demonstrable expertise in reverse engineering, web security, and data obfuscation, unpacking, analysis and mining is a plus.

5. Research, design, and develop computer and network software or specialised utility programs.

6. Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

7. Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

Qualifications

1. Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.

2. Candidate should have at least 5 years of experience in data aggregation related experience.

3. Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.

4. Deeply passionate about software coding/development and building great mobile/web applications.

5. Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

At BioQuest Advisory, we are offering an exciting opportunity for a Management Consultant Intern who specializes in data analytics. This position will have you delving deep into the heart of the consulting industry, combining strategic management insights with data-driven decision-making. You'll be an integral member of our team, providing vital support for our consultants on a range of projects.

Key Duties and Responsibilities:

• Strategic Research & Data Collection: Undertake comprehensive research on industry shifts, market movements, and competitor strategies. Accumulate pertinent data to steer project strategies and management decisions.

• Data-Driven Insights: Dive deep into data with advanced analytical tools to derive actionable insights. Articulate these insights for clients and internal teams, enhancing strategy formulations and execution.

• Feasibility Analysis: Lead feasibility assessments for client-focused projects. Gauge the potential and inherent risks of strategic recommendations before they are presented.

• Operational Excellence: Oversee administrative roles such as orchestrating meetings, coordinating conference dialogues, maintaining schedules, and systematizing project documentation.

• Client Engagement: Engage actively in client dialogues, ensuring all crucial points are documented. Build and nurture professional ties with clients to ensure seamless communication.

• Project Enhancement: Aid consultants in crafting top-tier project outputs, from presentations to comprehensive reports.

• Team Synergy: Work in tandem with our consultancy team, sharing insights, and bringing innovative solutions to the table. Together, aim to deliver unparalleled value to our clientele.

• Knowledge Upgradation: Remain at the forefront of industry evolutions, new-age technologies, and benchmark practices in management consulting.

Prerequisites for the Role:

• Enrolled in a Bachelor's program majoring in Business Management, Economics, or any related disciplines.

• Adeptness in data analytics, with a keen ability to infer and apply insights.

• Demonstrated organizational finesse and adeptness at multitasking.

• Proficient in Microsoft Office tools, especially Excel and PowerPoint.

• Potent communication skills, both written and verbal, for clear and impactful reporting.

• A team player with a flair for adaptability and a hunger to learn from seasoned experts.

• Experience in data interpretation, market intelligence, or consulting will be advantageous, though not mandatory.

• Minimum internship duration stands at 6 months.

Join us

At BioQuest, we value collaboration, teamwork and knowledge transfers. Our culture is friendly and supportive with a strong emphasis on ethics, diversity and inclusiveness.

• Learning opportunities in emerging technologies

• Mentorship with experienced technical consultants

• Supportive and collaborative work environment

• Excellent career growth path for good performers

We are an equal opportunity employer.

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

Responsibilities:

• 2 to 3 years of related experience in data analytics/engineering on AWS platform.
• Passionate about solving problems - possesses a relentless need for investigation and data exploration
• A driven self-starter who is delivery focused and possesses strong communication, influencing and presentation skills
• Develop & optimize data ingestion pipelines using PySpark. Good to have exposure on handling streaming jobs.
• Participate and support UAT activities with end users.
• Participate in client discussion on streamlining existing process and automation.
• Automate with data quality, auditing features, using Airflow.
• Good to have prior experince working experince on GCC.

Skills and Qualifications:

Bachelor's or higher degree in Computer Science, Engineering or a related field.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law

Act as a team member, providing essential support to the Data Services Lead in the day-to-day operations of the Data Services team. This support aims to ensure the consistent delivery of high-quality services, uninterrupted system uptime, and round-the-clock accessibility of data services to support the University's diverse business systems.

Responsibilities:

• Act as the Subject Matter Expert for data services-related products (Oracle, MSSQL, MySQL, WebLogic, WebSphere, JBoss, IIS, ASP.NET)

• Manage daily BAU operation of database and middleware (DB&MW) related services.

• Provide Level 2/3 support for DB&MW service-related queries.

• Monitor DB&MW services availability and performance; proactively fine-tune its configurations to meet RTO.

• Monitor and plan the capacity to meet the demands of the application workload.

• Monitor and plan the backup schedules to meet RPO and comply with the data retention policy.

• Create and maintain documentation of standard operating procedures (SOPs) for DB&MW administration, contributing to the knowledge base and facilitating knowledge transfer.

• Create and implement automation scripts using tools such as PowerShell, Ansible, Python, etc to streamline deployment processes and reduce manual intervention.

• Review and implement security best practices and apply regular ad-hoc security patches to ensure compliance with IT security policy.

• Coordinate/Support with the application support teams for scheduled downtime such as DB&MW patching and upgrade.

• Perform incident escalation in accordance with escalation procedures.

• Coordinate with other functional teams and product support in incident handling, and ensure incidents are resolved or workaround within stipulated SLAs.

• Provide input and finding for root-cause analysis.

Implementation of IT Initiatives and Solutions

• Provide consultancy on data infra design for new systems.

• Lead and drive data services initiatives and manage project deliverables.

• Identify and drive the optimal solution for NTU and manage the implementation of these solutions.

• Lead migration projects to transition applications to new DB&MW platforms, ensuring smooth transitions and minimal impact on operations.

Requirements:

• A recognized degree in IT, Computer Science or related fields

• Hand-on technical skills and know-how in administering database products (e.g., Oracle, MSSQL, MySQL database, and PostgreSQL) and related high availability technologies (e.g. RAC, Data Guard, AG). 

• Hands-on technical skills and know-how in administering middleware products (e.g., WebLogic, WebSphere, JBoss, IIS, ASP etc). 

• At least 6 years of hands-on experience in database and middleware administration in an enterprise or campus environment. 

• Experience in Windows, and Linux variants, preferably Red Hat and Ubuntu. 

• Possess relevant DevOps skillset and scripting skills for system automation, e.g., PowerShell, Ansible, Python etc. 

• Familiar with high-availability technologies and solutions 

• Proven track record of troubleshooting and resolving complex technical issues.  

• Experience in system, database and application performance tuning. 

• Experience in capacity planning, availability management and business continuity management 

Skills & Competencies

• Project management skills. 

• Outsourcing vendor management skills. 

• Documentation skills and ability to create clear and comprehensive SOPs. 

• Collaboration and communication skills, with the ability to work effectively in cross-functional teams. 

The following certifications while not necessary, will be an added advantage: 

• Data, Analytics, AI&ML Literacy 

• Cloud Literacy and Administration  

• Database Certified Professional 

• Red Hat Certified System 

• ITIL Foundation Level 

The suitable candidate should demonstrate the following characteristics:

Independence: The candidate must possess a strong ability to work autonomously, showing initiative and self-motivation. They should be comfortable taking ownership of tasks and projects and be capable of working effectively without constant supervision.

Resourcefulness: The candidate should have a knack for resourcefulness, being adept at independently locating the necessary materials or information required to complete tasks and make informed decisions. This involves proficient research and information-gathering skills.

Inquisitiveness: The candidate should exhibit a keen curiosity and willingness to ask questions when faced with ambiguity or uncertainty. They should actively seek out answers and engage in effective communication to clarify doubts and find the right solutions.

Interpersonal Skills: Possessing excellent interpersonal skills is vital for working collaboratively with diverse personalities within the organization. The candidate should foster positive working relationships and be adaptable to different communication styles and team dynamics.

Problem-Solving Proficiency: Strong problem-solving skills are a must. The candidate should demonstrate the ability to analyze complex issues, break them down into manageable components, and develop innovative solutions. Their analytical mindset should contribute positively to our organization's growth and development.

About Certis

Certis is a leading outsourced services partner that designs, builds and operates multi-disciplinary smart security and integrated services. Our multi-service offerings leverage our strong heritage in security, and are augmented by applied AI solutions. These solutions are part of our comprehensive technology development and systems integration capabilities that are fully cyber secure by design. By empowering our people, our goal is to enable our communities to stay safe and thriving. We offer a broad range of opportunities and career pathways for our people to grow and explore their potential. We believe that people, equipped with innovative thinking and technological capabilities will make our world safer, smarter and better.

Life at Certis

If you are a passionate individual looking for opportunities to expand your skills, and purposeful work instead of just a ‘job’, we would love to hear from you. At Certis, no two days look alike. Our work calendars are filled with chances to collaborate with others, and bring new initiatives to life. Whether you’re looking to improve a process, or have an innovative idea awaiting a technology solve, we want you to bring your ideas to the table. We are a close-knit team that looks out for each other, works hard to get the job done, and encourages each other to grow – the perfect place for you to grow your career!

Responsibilities we will trust you with:

• Compile relevant data, including policy documents, CSDS, SOPs, and training materials essential for the project.
• Transform collected data into a suitable format for AI learning, utilizing tools such as Chat GPT to process PDFs and images into structured/LLM usable data.
• Set up Linux environments and tools for experiments, including data preparation for fine-tuning.
• Write Python code for Large Language Models (LLMs) and conduct experiments with Chat GPT and assistant API.
• Ensure the proper recording and organization of collected and transformed data, including maintaining shared folders for project data.
• Provide support in various project-related activities, such as preparing technical slides, organizing project meetings, and documenting meeting minutes.

Your areas of knowledge and expertise that matter most for this role:

• Currently pursuing an undergraduate degree in Computing or Software Engineering at a local university.
• Knowledge of AI training, with a preference for experience in working with large language models like Llama and LlamaIndex.
• Quick adaptability to new environments and a fast learner.
• Commitment until March 2024.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis.. The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

More information about us; https://www.actxa.com

Actxa is hiring for Data Scientist

Internal Code: ACX003

1. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.
• Implement data-driven solutions to optimize preventive health strategies and personalized patient care.

2. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

3. Productization and Code Transfer:

• Follow through toward productization by transferring algorithms and codes into scalable, production-ready solutions.
• Work closely with the engineering team to integrate models into the company's systems or products.

4. Documentation and Reporting:

• Document research, experiments, modeling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

5. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

6. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.
• Implement data pipelines and automation processes for efficient data processing and extraction.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.
• Propose and explore innovative methodologies and techniques to improve predictive modeling and data analysis within the healthcare domain.

Requirements

• Bachelor or Master degree in Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• Good understanding or experiences in analog signal and noise processing is required.
• Proven experience in applying machine learning algorithms and statistical methods to healthcare data.
• Proficiency in programming languages like Python, R, or similar for data analysis and modeling.
• Strong understanding of healthcare systems, medical terminology, and electronic health records (EHR) is preferred.
• Experience with tools and frameworks such as TensorFlow, PyTorch, scikit-learn.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Natural tenacity, resilience, and determination.

Benefits

What do we offer?

• Fun working environment
• Flexi benefits
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, 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 Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’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 ( https://www.actxa.com/privacy-policy ) 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.

Apply for this job

Job Purpose

We are seeking a highly motivated and talented Platform Admin Lead to manage the data platform admin team for the smooth business operations and supporting the hybrid data platform with primary focus on big data platform, data visualisation tool, ETL tool and data science tool.

Job Description

· Lead the team to manage data platforms to meet the organization's needs. Take overall accountability of the administration and operation of data platforms.

· Configure and administer data platforms including security, performance, and scalability.

· Create and manage user accounts and permissions, as well as manage access to data sources in data platforms.

· Monitor and troubleshoot data platform performance and resolve any issues that arise.

· Plan and execute upgrades, patches, and maintenance for data platforms.

· Develop and implement backup strategies for data platforms.

· Collaborate with IT teams to ensure the data platform infrastructure integrates with other systems and platforms.

· Create and maintain documentation for data platform SOPs.

· Support the integration of data platforms to the ecosystems.

· Perform POCs of new capability in data platforms.

· Aligning with the systems engineering team to propose and deploy new hardware and software environments required for data platforms and to expand existing environments.

· Responsible for working closely with the database team, network team, BI team and application teams to make sure that all the big data applications are highly available (24x7) and performing as expected.

· Responsible for capacity planning and estimating the requirements for lowering or increasing the capacity of the platforms.

· Monitor (24x7) server performance, connectivity and security.

· File system management and monitoring.

· Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.

· Collaboration with application teams to install operating system and updates, patches, version upgrades when required.

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Bachelor’s degree in Computer Science, Information Systems, or a related field

· Overall 15+ years of experience in platform implementation and administration with mandatory 8 + years of hands-on experience in managing big data platforms

· Deep understanding of OS concepts, process management and resource scheduling.

· Deep understanding of networking, CPU, memory and storage.

· Good hold of shell scripting.

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

We are seeking a passionate and visionary Lead Data Scientist to lead our data science efforts in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis. Your work will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

In this managerial-level role, you will drive the company’s technology solutions and research initiatives. You are responsible for leading and managing a team of Data Scientists and Researchers in delivering science and data-driven innovations in preventive health and population wellness.

This role requires you to have prior experience in end-to-end solutions deliveries from research to implementation involving Artificial Intelligence, data analysis, Machine Learning (ML), data analysis and statistical modeling.

More information about us; https://www.actxa.com

Actxa is hiring for Lead Data Scientist

Internal Code: ACX002

Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive and prescriptive models to achieve business and commercial goals.
• Explore and identify patterns, trends, and anomalies in data.

Team Leadership:

• Lead, mentor, and manage a team of data scientists and researchers.
• Provide guidance and direction for project planning, execution, and prioritization.
• Foster a collaborative and innovative team culture.

Research Strategy:

• Define research objectives, strategies, and roadmaps in alignment with organizational goals.
• Develop and adhere to clinical research protocols for studies involving human subjects.
• Stay updated with the latest developments in data science and research methodologies.
• Identify emerging technologies and tools that can enhance research capabilities.
• Establish research partnership and collaboration with local and overseas institutions.

Data Collection and Preparation:

• Oversee data acquisition, cleaning, and preprocessing.
• Ensure data quality and integrity to maintain the accuracy of analyses.
• Collaborate with data engineering teams to streamline data pipelines.

Experimentation and Hypothesis Testing:

• Design experiments and conduct hypothesis testing to validate research findings.
• Evaluate the effectiveness of various models and methodologies.
• Implement A/B testing and other statistical methods to drive decisions.

Cross-functional Collaboration:

• Collaborate with consultants, advisors and internal teams, such as software & hardware solution, sales, marketing, and operations, to address business challenges and commercialisation opportunities.
• Provide data-driven recommendations and insights to support decision-making in clinical research projects.

Ethical Data Practices:

• Ensure compliance with data privacy regulations and ethical data handling practices.
• Maintain the security and confidentiality of sensitive data in clinical research studies.

Project Management:

• Manage multiple research projects simultaneously, including resource allocation and timelines.
• Monitor project progress, identify risks, and implement mitigation strategies.

Continuous Improvement:

• Drive process improvements and best practices in data science and research.
• Evaluate and implement new tools and technologies to enhance research capabilities in clinical research studies.

Requirements

• Advanced degree (Ph.D. or Master's) in a relevant field such as Computer Science, Data Science, Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, or related discipline.
• Several years of experience in artificial intelligence, data analysis, statistical modeling, and machine learning with strong programming skills in languages such as Python, R, SQL and C/C++
• Excellent communication and leadership skills.
• Ability to think critically and solve complex problems.
• Deep interest or knowledge in wearable technologies, preventive health, wellness, fitness, mental health, chronic disease prevention & management, population health, etc.
• Experience with clinical trial design, execution, and analysis.
• Previous leadership or supervisory experience, especially in leading teams of data scientists and researchers.
• Proven track record of successful project management and delivery of data-driven insights and solutions.

Benefits

What do we offer?

• Fun working environment
• Flexi benefits
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, 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 Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’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 ( https://www.actxa.com/privacy-policy ) 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.

Apply for this job

Key Responsibilities:

• Develop and design interactive reports, dashboards, and visualizations using Tableau software.
• Ensure data accuracy and consistency by working with databases, particularly Redshift, Hive & sqlserver, to extract and manipulate data.
• Write SQL queries to retrieve, transform, and aggregate data from databases, demonstrating medium proficiency in SQL.
• Collaborate effectively with cross-functional teams, including data analysts, data engineers, and business stakeholders.
• Act as a strong team player, contributing to a positive and collaborative work environment.
• Communicate effectively with technical and non-technical stakeholders, presenting complex information in a clear and understandable manner.
• Collaborate with business stakeholders to gather reporting requirements and translate them into actionable visualizations.

Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering, or relevant field.
• Proven experience as a BI Engineer/Developer or similar role, with a strong portfolio showcasing your BI expertise.
• In-depth understanding of Tableau software, including advanced features such as LOD expressions and complex calculations.
• Demonstrated ability to write SQL queries for data retrieval, transformation, and aggregation.
• Strong analytical and problem-solving abilities, with a keen eye for details.

Job Description

• Industry/ Organization Type: Digitization solutions/services
• Position Title: Data Processing Executive
• Working Location: Marymount
• Working Hours: Monday – Friday, 9 am – 6.15 pm
• Salary Package: Up to $1,400
• Duration: Permanent

Key Responsibilities

• Checking all the inward documents with the provided list from customer.
• Document Preparation – Removing documents from bindings, removing staples, removing tags & binders.
• Scanning – Scanning of documents with production scanner.
• Quality Control – Checking all the scanned images with original documents and marking all the errors.
• Capturing indexes from documents and populating them in Excel or Word.
• Filling up all the records and reports required for daily production.
• Helping logistic person to receive and deliver documents from various clients.

APPLY NOW!!!

• Candidates without experience are welcome to apply.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #65852 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Norman Wee | EA Reg No.: R23115114

Unlock Your Potential with a Growing and Dynamic Company.

At Ascentis, we are proud to be a leading CRM, digital, and social company with a track record of excellence. With over 50 prestigious awards under our belt, we have established ourselves as a trusted partner in servicing regional accounts across 13 countries in Southeast Asia.

Our success is rooted in our core values: PACT - professionalism, accountability, consistency, and teamwork. These values drive our dynamic and fast-paced environment, where results matter. We believe in fostering a culture of open communication, where every voice is valued, and ideas are encouraged to flourish. One of our key differentiators is our flat organizational structure, which promotes a collaborative and inclusive work environment. Our management team is hands-on and approachable, working side by side with our talented employees to drive innovation and achieve remarkable results. As a growing company, we offer tremendous potential for personal and professional growth. We embrace a meritocratic approach, recognizing and rewarding the contributions of talented individuals who thrive in a team-oriented setting.

We believe in providing ample opportunities for our employees to take on new challenges, learn, and advance their careers. If you are a passionate and driven individual seeking a rewarding career in a company that values your skills and potential, Ascentis is the place for you.

Join us on our journey of success and be part of a team that is shaping the future of our industry. We look forward to welcoming exceptional talent who share our values and are ready to make an impact. Together, we can ascend to new heights.

Responsibilities :

· Develop data pipelines (ETL / ELT flows) to collect and integrate data from diverse sources into data lake and data warehouse.

· Construct a data quality service to uphold the integrity of data models.

· Create reports using PowerBI or other Business Intelligence tools.

· Implement monitoring tools / scripts to detect and address performance bottlenecks.

· Optimize data extraction operations to avoid impacting the performance of source systems and enhance overall ETL / ELT job efficiency.

· Generate high-quality code to support data processing tasks.

· Collaborate closely with engineering and product management teams.

· Potentially engage with external partners or clients to collaborate on building data pipelines.

Requirements:

· 3-5 years experience designing and implementing scalable data processing solutions.

· BSc in Computer Science or equivalent practical experience.

· Hands-on experience in designing and implementing AWS Analytics services, with a focus on Glue, Athena, Lambda, Airflow, SageMaker, and Quicksight.

· Familiarity with AWS cloud platform, including S3 and EC2.

· Knowledgeable in Data Lake and Data Warehouse design, incorporating best practices in data modelling and data partitioning.

· Practical experience in constructing ETL / ELT data pipelines, adhering to best practices in data cleansing, tokenization, and ensuring high data quality.

· Proficiency in utilizing data visualization tools including Microsoft PowerBI and AWS Quicksight.

· Familiarity with databases such as SQL Server and PostgreSQL is advantageous.

· Practical working experience with Python.

*Interested candidates, kindly submit your updated CV to [email protected]

Roles & Responsibilities

• Data entry
• Documents Checking
• Filing/ Copying/ Scanning
• Administrative support
• Other ad-hoc duties assigned by supervisor

Working Hours: 8.30am to 6.00pm (at least 3 days a week)

Working Location: Tuas Link 1

*Students welcome to apply

*Hourly rate

The IT Support Officer (Data Management) will be responsible for ensuring the effective management and maintenance of all data systems within the organization. This role involves troubleshooting and resolving data-related issues, backing up and restoring data, and monitoring data integrity and security. The ideal candidate will possess strong analytical and problem-solving skills, excellent communication abilities, and a solid understanding of data management principles and best practices.

Career exposure into government organization!

6 months contract extendable with good performance!

Good start for your career advancement!

Monday - Friday, Central Location

You will be part of the project team for the Data statistic department.

Salary up to $4,000

Job Description

• Assist project manager in IT support functions
• Monitoring project schedule and objectives to ensure timely achievement of deliverables
• Development and deployment of survey related IT projects
• Maintenance of all project documentation
• Perform UAT and Production testing for system deployment
• Conduct User Testing as and when required after system patching/maintenance
• Analyse call transcripts using text analysis methods such as rule-based matching and sentiment analysis in Python.
• Create and maintain Tableau dashboards based on insights derived from call content to inform internal stakeholders and
• Improve customer service qualityform internal stakeholders and improve customer service quality

Job Requirement

• Degree in IT/Business, preferably has some knowledge of Project Coordination, Python, Tableau
• Team player
• Excellent written and verbal communication skills
• Able to communicate ideas and solutions effectively in meetings/presentations

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

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1766716 (Ng Yi Ling)

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Our Trust and Safety R&D team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for talented data scientist who can take initiatives, design and develop advanced data-driven solutions. A successful candidate will have good quantitative analysis skills, data sense and hands-on capabilities. And you will take pride in working with engineers, product and business partners to identify and solve the most challenging safety and trust problems in Tiktok.

Responsibilities - What You'II Do

1. Improve the trust and safety strategy of live/video service by various strategies

2. Perform deep dive analysis into specific problem spaces by attribution analysis, provide knowledge that will guide strategy in algo model improvement

3. Work with vast amounts of data and convert insights into intuitive, actionable results that will drive strategy and decision-making.

4. Develop machine learning models and algorithms to detect the issues of the current moderation system and also the TikTok ecosystem.

5. Collaborate with cross-functional teams including Algo, Engineering, Product, and Operations, QA to deploy and improve solutions.

6. Design experiments, implement them, and follow-up on results.

7. Identify new sources of data and methods to improve data collection, analysis, and reporting.

Qualifications

Qualifications

1. Bachelor's degree in Computer Science, Statistics, Data Science, Operations Research or a related field. An advanced degree(Master's, PhD) is preferred.

2. Excellent ability to analyze and solve problems, full of passion for solving challenging problems.

3. Proficient in Python, Pandas, Scikit-learn, SQL, Tableau or PowerBI, good knowledge of big data processing tools like Hadoop, Spark, etc.

4. Excellent understanding of the principle of machine learning/deep learning algorithms/LLM is preferred.

5. Experience as data scientist/algo engineer in large Internet companies is preferred.

6. Good communication skills and enjoy working with diverse teams globally.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Our client in the banking industry is inviting suitably qualified candidates to apply for the post of

KYC Data Management Analyst (1-year contract)

• Data Management: Collect, validate, and maintain static data, including client information, product details, and reference data, in relevant databases and systems.
• Data Quality Assurance: Conduct regular checks to ensure data accuracy, completeness, and consistency. Identify and resolve any discrepancies or errors promptly.
• Data Governance: Develop and enforce data governance procedures to ensure compliance with regulatory requirements and industry standards.
• Process Improvement: Continuously review and enhance data management processes and workflows to optimize efficiency and minimize risks.
• Data Analysis: Analyze data trends and patterns to identify opportunities for process improvement, cost reduction, and operational efficiency.
• Stakeholder Collaboration: Collaborate with various internal stakeholders, including front-office teams, IT, and compliance, to understand data requirements and address any data-related issues or concerns.
• System Enhancements: Work closely with IT teams to implement system enhancements, upgrades, and migrations related to static data management.
• Documentation: Maintain accurate documentation of data management processes, procedures, and guidelines.
• Training and Support: Provide training and support to end-users on data management tools, systems, and processes.
• Risk Management: Identify and mitigate potential risks associated with data management, including data privacy, security, and regulatory compliance.

Requirements :

• 4 to 5 years of experience as a Data Management Analyst or in a similar role, preferably in the banking industry
• Proven experience in data management, preferably within the financial services industry.
• Strong understanding of data governance principles and best practices.
• Proficiency in using data management tools and systems is advantageous
• Excellent analytical and problem-solving skills.
• Attention to detail and ability to work with large volumes of data.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Knowledge of regulatory requirements, such as GDPR or MiFID II, FATCA/CRS, AML is a plus
• Familiarity with SQL, VBA, or other programming languages is advantageous

Interested applicants are invited to write in with full resume to [email protected].

EA License No. 16S8296 • EA Personnel Registration No. R21102756

We currently have a 1 year contract DC Operator (Batch Scheduler / Code Table), payroll under employment agency

Work Location: Novena (Revenue House)

Salary Range: $2800 - $3000
Working Hours: Monday to Friday with staggered hours from 8am to 5.30pm and 10am to 7.30pm + Alternate Saturday

14 days Annual leave, 14 days Medical Leave & benefits, Group Insurance coverage

Incentive of performance bonus up to 1 month basic salary subject to reporting manager’s appraisal

• Planning and Scheduling of daily Data Change
• Planning of day/weekly/monthly/ yearly Batch jobs accordingly to Business Unit requirement.
• Attending to PJS request.
• Provide control run support of batch operation during migration/plan activities.
• Perform request fulfilment to register customer request etc Adhoc / Data Recovery SR)
• Perform Daily /Weekly/Monthly Batch execution reports.
• Provide support during IRAS DR pertaining to Batch execution.
• Monitor the wellbeing of the Batch execution and planning.
• Perform Incident (Batch scheduling) escalation (Ensure incidents are reported and attended to, else redirect to Ops Mgr based on criticality, impact, and SLA).
• Coordinate with various stakeholders / Batch owner to fix the technical issues/ Batch job failure timely support to customers.
• To work cohesively with customer.

Requirement:

• Singaporean (Need to clear g50 security clearance)
• Able to commit to Mon to Fri staggered hours from 8am to 5.30pm and 10am to 7.30pm + Alternate Saturday
• Keen to go into Planning and Scheduling of daily Data Change
• At least a Higher Nitec in IT
• Must be able to commit for the full 1 year contract
• Willing to learn and punctual for work
• Open to candidates without prior experience in Data Centers, on job training will be provided

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

Manage the data centre operation in Data Centers to support the IT infrastructure operation. Ensures the batch operation operates effectively and efficiently.

1. Strategies and improve the operation and SOP.
2. Manage data centre batch operation for both Mainframe and Open system to ensure jobs are monitored, trigger timely and escalated timely if there are any issues
3. Manage and support data centre tools upgrade
4. Support the automation initiative to remove manual task and improve turnaround time
5. Involve in the product development of Operation Dashboard
6. Experience in using OPC to schedule jobs and API tasks
7. Mandatory skill - must have experiences in manage, perform and monitor (must hands-on and not facilitating) batch operation/job for Mainframe

• Provide BAU support for production job monitoring,issue resolution, bug fixes.
• Work closely with data stewards, data analysts and business end users to implement and support data solutions.
• Responsible for requirement gathering, design and development, SIT testing, support UAT and CICD deployment for enhancement and new ingestion pipeline.
• Ensure compliance with IT security standards, policies, and procedures
• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on data pipelines.
• Experience in building on data platforms (e.g. Snowflake, Redshift, Databricks).
• Proficient in SQL and Python.
• Experience in Continuous Integration and Continuous Deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design and implement solution and perform code review.
• Agile and fast learner and able to adapt to change.
• Experience in building on data transformation frameworks (e.g. dbt,Dataform).
• Cloud environments (e.g. AWS, GCP, Azure).
• Big data technologies (e.g. Spark).
• Data platform migration.
• Experience in ETL tools (such as Informatica), and data virtualization platforms such as Denodo is preferred.

Roles & Responsibilities

Admin Assistant roles and Responsibilities include providing administrative support to ensure efficient operations in the Company.

Job Responsibilities:

· Scheduling of Worker’s Daily Schedule

· Stock take

· Checking of equipment

· Liaising with respective government agencies

· Assist with Management on any ad-hoc duties

. Working hours: Monday to Saturday (8.30am to 5.30pm) with Alternate Saturday off

Job Requirement:

1. Minimum GCE ‘O’ Levels with working experience

2. Experience in data entry would be an advantage

3. Proficient in Microsoft Office

4. Good interpersonal and communication skills

5. Organised, self-driven, resourceful, fast learner

The Position

The department is responsible for development and maintenance of Capital Market applications used by worldwide users.

“Run the bank” is the first mission of IT department. It involves many front line IT professionals who understand the nature of business operations, timing of activities & data flowing through internal and external systems.They are continuously working with business users, infrastructure engineer and system managers.

The candidate will join the Singapore Capital Market Run the bank team in charge of running application for capital market from Front-Office (Murex, Apex, Orchestrade…), Back-Office (Summit, Calypso…) and Market data referential (Asset Control..), Market Risk applications (in-house application on big data technologies).

It is a great first position to onboard in a IT banking domain, with many fundamental learning of what is the Information System of an investment bank. It provide step by step learning, starting from Level 1 support, then moving to level 2 and finally being part of the continuous improvement ande evolution of new application and process optimization.

Main Responsibilities

Application monitoring responsibilities

• Define and implement in coordination with the build team the needed application monitoring
• Supervise and monitor daily and monthly chains and handle user request by working closely with project, infrastructure and production teams
• Support overnight batches which take place during the Singapore Morning and early afternoon time to ensure that problems are swiftly analyzed and resolved to minimize down-time.
• Process and issue daily, weekly and monthly reporting on data quality of risk chain in which the activity is usually more intense on monthly run.
• Maintain programmable code outlined in technical instructions and specifications for software applications.

Incidents and Requests management (business users and others IT teams)

• Provide level 1 and level 2 application support to the business users (trader, risk manager, market risk monitoring operator, back-office and middle-office analyst, market data administrator,…)
• Analyze and manage incidents/problems/requests coming

Problem management and continuous improvement

• Prepare and maintain knowledge base for each of the application in the scope of the team in coordination with the build team and the ops team
• Collaborate with build team to assess the priority of the problem and follow-up the resolution, even contributing to the definition of long term solution.
• Provide non-functional requirement to the build team to implement monitoring as code whenever available.

The Support analyst should have a pro-active mindset in security, incident preventive measures, productivity and global improvement of the quality of service.

Qualifications and Profile

Mandatory

• Candidates should have 8+ years experience in support activity.
• Candidates should have ITIL knowledge.
• Experience in Software development or Devops team.
• SLA & KPI management, client communication & interaction
• Predictive analysis, consulting, escalation management
• Risk analysis and project execution
• Appetite for continuous improvement, out of the box solution and automation mindset
• Strong knowledge in XML, SQL, PL/SQL, MQ Series, CFT and Control-M.
• Knowledge of monitoring solution (E.g ITRS Geneos)
• At least 3-year experience with Jenkins, GIT (GitLab)
• At least 1-year experience in Ansible
• Shell scripting, Perl Scripting (not mandatory)
• Unix Batch creation

Good to have

• Experience with Docker/Kurbernetes
• Experience with Liquibase or equivalent
• General banking and finance understanding and knowledge
• Understanding of trade life cycle, financial products (Treasury, FX, Bonds, Credit, IRD…)
• Exposure to Capital Market FO/BO system (E.g. Summit, Kondor+, Murex…)

Other Professional Skills and Mind-set

• Excellent written and verbal communication skills for both team mates and management
• Strong analytical and problem solving skills
• Proficient software development life cycle
• Appetite to follow technology trend and participate to communities
• Passion for sharing expertise and grow team members’s skills
• Interest in mentoring and guiding junior team members on the path of high quality deliverables.
• Ability to work well under pressure
• Autonomous, self-motivated and excellent team player
• Strong perseverance and diligence towards attaining goals and effective time management

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Shift Timings:

• Person will have to work in shifts as support is requiring 24/6 Support.
• (00:00~9:00) (7:00 ~16:00) (15:00 ~1:00next day)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Data Entry Admin (Temp)

Key Responsibilities:

• Data Entry for new system migration
• To assist in all administration duties
• Other Admin or ad-hoc duties as assigned from time to time

Knowledge & Skills:

• Good in MS Office, IT Savy
• Attention to details, Meticulous
• Fast Learner

*Fresh Graduates are welcome to apply