Total 3,967 data entry job vacancies in Information Technology category in Singapore

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Company overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com

Department overview:

The Chief Data Office plays a key role in defining and implementing the firm's data strategy, driving transformational change through data capabilities, enforcing data governance for both transformation benefit and regulatory compliance, and elevating Nomura's data culture. Governance remains a critical focus area, and the Group Data Office, in partnership with Business and Corporate functions, is responsible for ensuring that the firm's data assets are managed in line with the firm's data management framework, policy and standards.

Job Responsibilities:

• Enabling data architecture and delivery of data-analytics platforms and Solutions – on-premises, cloud, and hybrid
• Information delivery & analytics. State-of-the-art expertise across, data/information preparation, data insight & visualization using BI (or similar tools), and advanced data prediction using AI, ML, DL, etc.
• AI/ML Ops. Responsible for integration, deployment and monitoring of AI/ML products and solutions,
• Data management. Demonstrate expertise in data management to ensure the analytics products are appropriate/ethical and well-controlled.
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.

Core Skills requirement:

• Designing and developing scalable data pipelines to collect and process large volumes of data from multiple sources.
• Building physical data models and ETL processes to ensure data quality, integrity, and accessibility.
• Microservices Development: Building and maintaining highly scalable and fault tolerant microservice, including efficient server-side APIs.
• Deployment: Hands on with CI/CD, Jenkins, Ansible, DevOps process, Enterprise integration patterns.
• Hands-on with programming languages (Python, Java etc.) and with orchestration tools like Airflow
• Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Proficient in REST services, JSON data, Python 3, Linux/Unix Shell Scripting
• Proficient in modern data management methodologies and architecture e.g.- building data products and implementation of data mesh
• Experience with machine learning libraries and frameworks like LangChain, TruLens, MLFlow, TensorFlow, Scikit-learn, or PyTorch
• Deploying machine learning models into production environments and monitoring their performance over time.
• Collecting, cleaning, and analyzing large datasets to train and evaluate machine learning models.
• Ability to understand and integrate cultural differences and work effectively with virtual cross-cultural, cross-border teams.
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
• Experience with senior stakeholder management will be an added advantage.
• Excellent communication (verbal, written, listening), presentation, and interpersonal skills.
• Able to analyze complex situations and derive workable actions.
• Able to constructively challenge requirements and current state to increase overall value to the firm.

Education and experience
Wide variety of degrees will be considered, however work experience will be of equal, if not greater importance

• Degree or Masters in quantitative fields (Computer Science, Statistics or similar)
• Minimum of 5 years of relevant data experience in data engineering / MLOps, full stack engineering, preferably in financial organizations
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Certifications in relevant technologies or frameworks are a plus.

Diversity Statement

Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer

SFID: 7167

Responsibilities

· Provide administrative support to the Department.

· Coordinate department and project activities, and prepare documents required

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

· Proper documentation of records

· Management of department’s inventory and equipment

Requirements

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

· Good organisational and administrative skills

· Good interpersonal, verbal and written communication skills

· Proficient in Microsoft Outlook, Word and Excel

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

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

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Data Coordinator (6 month contract)

Responsible for:

• Cultivation of large-scale analytical use cases delivering exponential value by designing and delivering advanced analytics solutions at scale (including Petabyte scale solutions), using industry-leading Big Data technologies.
• Increasing productivity of models delivery through deep domain expertise.
• Serving as a one-stop shop and being end-to-end accountable for scale-up, hiding the complexity of IT from business case owners (understanding of P&G EA patterns, taking care of engagements with Enterprise Architects, Data Management, Cloud, Infosec, and Platform teams).
• Being a trusted partner of Cloud and Infosecurity teams with autonomy within their frameworks.
• Delivering the right solution architecture, automation, and technology choices starting from experimentation and proof of concept phases of new analytical models that generate insights and answers to business questions.
• Proficient at using Microsoft Excel, Word, and PowerPoint.
• Collecting, organizing, and migrating incoming data acquired by the company to other departments within the company for use.

Interested candidates may apply through the application system. We regret to inform only shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

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.

Job Description:

· 5+ years of experience in Data Visualization using Tableau. Experienced in QlikSense/Power BI

· Experience with enterprise data lakes, datastore applications (Snowflake, Redshift, Postgres)

· Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)

· Proficiency in one of the programming languages preferably PySpark or Python

· Strong understanding in investment operational systems and analytics/business intelligence tools for creating data products and analytical offerings to the firm.

· Prior experience in leading multiple smaller teams to deliver data products, provide BAU support to data platforms and supporting customer with audit, compliance matters

Our client, one of Asia-Pacific’s leading organizations is looking for:

Data Analyst

Enhance Generative AI Accuracy:

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

Response Analysis and Evaluation:

• Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
• Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Safety Scenario Establishment:

• Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:

• Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
• Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:

• Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
• Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts

Demand Analysis:

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

Collaboration with Product Owners:

• Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
• Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained

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

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

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

---------------------------------------------------------------------------------------

Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Data Analyst

"

Only shortlisted candidates will be notified.

---------------------------------------------------------------------------------------

EA License Number: 10C3636

EA Personnel Name: Komal Kotwani

EA Personnel Registration Number: R22120632

Job Title: Consultant - Tableau, Data Visualization

Location: Central

Position Type: 12 months contract, renewable based on project needs / perm headcount can be discussed

About Us: My client is a leading consulting firm specializing in providing data-driven solutions to their investment client. Currently seeking a talented Consultant with expertise in Tableau and data visualization to join their dynamic team.

Role Overview:As a Consultant specializing in Tableau and data visualization, you will play a key role in helping our clients derive insights from their data through compelling visualizations. This position requires strong technical skills in Tableau along with a solid understanding of data analysis and visualization best practices.

Key Responsibilities:

• (Depends on seniority) Empower Clients with Data Insights: Lead a team of data specialists who collaborate with client technology teams to design and implement data products that unlock actionable business intelligence.
• Champion Data Platform Excellence: Manage and ensure the ongoing success of our data platforms, including providing Business as Usual (BAU) support, maintaining high availability, and resolving incidents efficiently.
• Safeguard Data Integrity: Hold the highest standards for data security and compliance. You'll meticulously monitor applications, actively identify and address potential issues, and work collaboratively with clients to maintain a robust data environment.
• Drive Continuous Improvement: Be a catalyst for innovation. Proactively identify opportunities for automation, process optimization, and compliance enhancements within the data platform and client data

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• Minimum 3 years of experience in Tableau and data visualization.
• Proficiency in Tableau Desktop, Tableau Server, and other Tableau products.
• Strong understanding of data analysis and visualization principles.
• Excellent communication and interpersonal skills, with the ability to effectively communicate complex ideas to non-technical stakeholders.
• Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)
• Proficiency in one of the programming languages preferably PySpark or Python
• Proven track record of delivering high-quality Tableau dashboards and reports.
• Experience with other data visualization tools is a plus.

APPLY NOW! Interviews are ongoing! Email to [email protected]

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

Chiam Lee Ping Dayna

Consultant

Reg. No: R1764404

Stellar- Link Partners Pte Ltd (EA License: 21S0698)

We are looking for a skilled Data Engineer/Consultant with expertise in data engineering, data modeling, and a good understanding of data layer and API integrations. The ideal candidate will have experience in building scalable data pipelines, designing efficient data models, and integrating various data sources to support our clients' business intelligence and analytics efforts.

Key Responsibilities:

• Design, develop, and maintain scalable and robust data pipelines to process data from multiple sources.
• Create and optimise data models for efficient storage, retrieval, and analysis.
• Ensure data quality, integrity, and security across all data platforms.
• Collaborate with project management and development teams to understand data requirements and deliver solutions.
• Develop and maintain documentation for data pipelines, data models, and data integration processes.
• Work closely with API developers to integrate external and internal data sources through API gateways.
• Stay updated with the latest industry trends and technologies in data engineering and data modeling.

Qualifications:

• Bachelor's degree or Diploma in Computer Science, Information Technology
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational and non-relational databases.
• Experience with data modeling techniques and tools.
• Proficiency in programming languages such as Python, Java
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services.
• Understanding of API design and development, including RESTful and GraphQL APIs.
• Familiar with data warehousing solutions like Redshift, Snowflake, or BigQuery.
• Knowledge of ETL/ELT tools and processes.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of machine learning frameworks and libraries.
• Understanding of data governance and compliance standards (e.g., GDPR, CCPA).
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technologies and a talented team.
• Professional development and growth opportunities.
• Flexible work environment and supportive company culture.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

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 #66104 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 | Angel Lim | EA Reg No.: R1769781

Job Title: Consultant - Tableau, Data Visualization

Location: Central

Position Type: 12 months contract, renewable based on project needs / perm headcount can be discussed

About Us: My client is a leading consulting firm specializing in providing data-driven solutions to their investment client. Currently seeking a talented Consultant with expertise in Tableau and data visualization to join their dynamic team.

Role Overview:As a Consultant specializing in Tableau and data visualization, you will play a key role in helping our clients derive insights from their data through compelling visualizations. This position requires strong technical skills in Tableau along with a solid understanding of data analysis and visualization best practices.

Key Responsibilities:

• (Depends on seniority) Empower Clients with Data Insights: Lead a team of data specialists who collaborate with client technology teams to design and implement data products that unlock actionable business intelligence.
• Champion Data Platform Excellence: Manage and ensure the ongoing success of our data platforms, including providing Business as Usual (BAU) support, maintaining high availability, and resolving incidents efficiently.
• Safeguard Data Integrity: Hold the highest standards for data security and compliance. You'll meticulously monitor applications, actively identify and address potential issues, and work collaboratively with clients to maintain a robust data environment.
• Drive Continuous Improvement: Be a catalyst for innovation. Proactively identify opportunities for automation, process optimization, and compliance enhancements within the data platform and client data

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• Minimum 3 years of experience in Tableau and data visualization.
• Proficiency in Tableau Desktop, Tableau Server, and other Tableau products.
• Strong understanding of data analysis and visualization principles.
• Excellent communication and interpersonal skills, with the ability to effectively communicate complex ideas to non-technical stakeholders.
• Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)
• Proficiency in one of the programming languages preferably PySpark or Python
• Proven track record of delivering high-quality Tableau dashboards and reports.
• Experience with other data visualization tools is a plus.

APPLY NOW! Interviews are ongoing! Email to [email protected]

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

Chiam Lee Ping Dayna

Consultant

Reg. No: R1764404

Stellar- Link Partners Pte Ltd (EA License: 21S0698)

• Act as single point of contact for Customer for all facilities matters, including but

not limited to security, cooling, power, hardware movements, cleanness, etc.

• Support & co-ordinate hardware installations and cabling as per Customer requests.
• Manage and coordinate vendor support services, including supervision of vendors on installation, upgrading, maintenance, repair, and delivery of server hardware and software.
• Co-ordinate with and escort third party vendors visiting Customers’ data centre and server rooms.
• Install, configure, Monitor of UPS.
• Co-ordinate with remote site support engineer for all server room related activities.
• Perform regular data centre inspection. Report any alert to concerned party.
• Maintain inventory of Customer data centre and server rooms equipment Record including customer’s remote sites and audit all the changes.
• Manage Customer’s cloud based data centre and resources, including inventory,
• changes, budget, etc.
• Any other activity related to data centre operations.
• The Support Services shall meet KPI target set by Customer.
• The DC OSE should carry and be reachable 24x7 via on duty mobile phone (to be provided by Customer
• Experience in IT service management
• Basic understanding of IT Infrastructure domain.

Job Description:

We are seeking a data entry administrator / cleck to undertake the task of maintaining accurate data inputs into our database.

• Organizing, updating, filing, and scanning of documents. This position supports
• Assist in internal distribution of documents, stamping, photocopy, scanning etc.
• Data entry of invoices, bills and service reports.
• Regularly update and maintain existing data records.
• Responsible for= office administrative and clerical processes.
• Other ad-hoc duty as assigned.

Qualifications:

• High accuracy and attention to detail.related fields is a plus.
• High accuracyand attention to detail.
• Proficiency in data entry software and Microsoft Office applications (e.g., Excel, Word).
• Strong organizational and time management skills.
• Ability to maintain confidentiality and handle sensitive information.
• Self-motivated, reliable, and a strong team player.

Others:

• Working hours: Monday - Friday 9:00am - 3:00pm
• Part-time position available (Min 3 days/ week @ $10/hr exlude breaks)
• Work Location: Kaki Bukit

In Heatology, we are committed to creating an inclusive environment for all employees.

· 8 - 10 years of IT Security experience in administration and management of IT Security technologies primarily Symantec Data Loss Prevention, Symantec Endpoint Protection, Data Classification and other endpoint & data security solutions;

· Knowledge of different domains of IT Security;

· Working & hands-on experience in administering the IT Security Solutions;

· Must have experience in working in similar Production setup in Run (Operations) mode;

· Ability to apply risk based approach while working on assigned responsibilities;

· Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;

· Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;

· Excellent in analytical, communication and documentation skills;

· Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;

· Must have strong understanding of ITIL processes and comfortable working in process oriented environment;

· Ability to work independently and as well as a part of team and is able to work under minimal supervision;

SUMMARY

You will work with our analyst teams and translate questions from different business areas into automated data analytics solutions. In this role, you are the interface between business-focused analysts and technology-focused data engineers. You are going to work with a wide variety of different data, such as geospatial, commodity trading or financial market data.

Our data platform follows the Lakehouse approach and is mainly based on Azure Databricks and Tableau.

RESPONSIBLITIES

You will support different teams by translating business-related questions into actionable data-backed answers.

• Develop and implement analytical models using Python, PySpark and/or SQL
• Perform ad-hoc data analysis
• Define data requirements for our data engineering team, who add data sources to our platform
• Support analyst teams in creating data visualizations using Tableau
• Be a sparring partner for strategic alignment of our data platform, i.e. discuss future use-cases, data models, etc.

EXPERIENCE & QUALIFICATIONS

We are looking for a team player who quickly picks up on complex business problems, structures and reduces complexity, and works with minimal guidance.

• Working experience in shipping, trading or trading is nice to have.
• Strong cultural, interpersonal, communication and problem-solving skills.
• Proven track record in data analysis, data storytelling and visualization.
• Excellent communication and interpersonal skills.
• Ability to work independently and in a team.
• Experience in using Azure Databricks and Tableau will be an advantage.

Responsibilities:

1. Align with the company's business development strategy and planning to oversee the leasing of data center room resources and the procurement of network, servers, and other equipment

2. Manage the procurement of key equipment and services during the IDC construction process, including project management and business management. This encompasses schedule management, requirement management, business negotiations, price management, contract management, and issue management during execution.

3, Implement procurement cost control targets, aiming to reduce overall procurement costs. Collect and analyze market industry information to inform procurement decisions.

4. Analyze development trends of relevant technologies and products in the data center industry to provide insights for procurement strategy formulation.

Job Requirements:

1. Minimum of 8 years of procurement experience, including at least 5 years of business-related work experience in data centers, with a preference for candidates with specific experience in data center or equipment procurement. PMP certification is preferred.

2. In-depth knowledge of the construction architecture and solutions of mainstream manufacturers' data centers. Proficiency in the architecture of various subsystems of infrastructure solutions (high and low voltage distribution, HVAC, integrated wiring, weak current monitoring, etc.), with an understanding of the solutions and their advantages and disadvantages from mainstream manufacturers

3. Exceptional business coordination and project management skills, capable of formulating and managing category procurement strategies. Ability to effectively mobilize and coordinate internal and external team resources to ensure timely project delivery and the achievement of company business goals

4. Strong logical and analytical abilities, able to maintain clear and concise logic in complex scenarios, and skilled in using data to identify and resolve problems.

5. High commercial acumen, with extensive experience in project operations. Preference for candidates with experience in large-scale IDC project procurement, delivery management, or solution sales.

Responsibilities

• Managing, monitoring and maintaining databases
• Maintaining database backup and recovery
• Provide solution related to database design and SQL writing to Application Developers
• Implement change requests related to development in database such as table design, triggers, and stored procedures
• Support application deployment activities
• Develop and deploy data patch SQL scripts
• Provide solution for SQL query tuning
• Perform installation, upgrade and migration of databases
• Perform regular database patching and hardening

Requirements

• Minimum 3 years of hands-on experience with Oracle database and MS SQL Server database
• Good understanding and experience in database maintenance, troubleshooting and performance tuning
• Familiar with SQL script language
• Good understanding of Oracle RAC, SQL Server HA solution
• Good problem-solving skills and team player
• Experience with MySQL is a plus
• Open to fresh graduates

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

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.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an experienced Data Manager to oversee the development and use of data systems in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID)

ADVANCE-ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The data manager should be a data expert with experience in clinical trial data management and will be working closely with both internal and external stakeholders.

Duties & Responsibilities
• Data Governance: Establishing data governance policies and procedures to ensure data quality, consistency, and integrity throughout the organization.
• Data Collection and Integration: Designing and implementing data collection methods and processes to gather relevant information from various sources.
• Database Management: Overseeing the design, development, and maintenance of databases to store and organize data efficiently. This includes database architecture, data modeling, indexing, and performance optimization
• Data Integration: Combining data from different sources into a single, unified dataset. This involves merging, consolidating, or linking data based on common data attributes or identifiers.

• Data Quality Assurance: Developing and implementing procedures for data validation,data cleansing, and data quality checks to ensure the accuracy, consistency, andcompleteness of data.
• Data Analysis and Reporting: Collaborating with investigators to provide accurate andtimely data for analysis and reporting purposes.
• Data Strategy and Planning: Contributing to the development of data strategies androadmaps aligned with the organization's objectives.
• Collaboration and Communication: Collaborating with cross-functional teams, includingIT, analytics, and business units, to understand data requirements and ensure dataavailability.
• Compliance and Regulations: Keeping up-to-date with data protection regulations,industry best practices, and emerging technologies.

Qualifications

• Experience in clinical trial data management
• Proficiency in data management tools, databases, and programming languagescommonly used in data management.
• Excellent communication and collaboration skills
• BSc or MSc in relevant field

Job Description

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.

• Solve complex data problems to deliver insights that help the organization achieve its goals.

• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.

• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.

• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.

• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.

• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.

• Strong experience in mapping attributes, data profiling , data cleansing , and technical data quality etc.

• Strong experience in Ansi SQL and in-depth knowledge with structured , semi-structured & unstructured data

• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP

• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.

• Good to understand data security features like data masking, data encryption , role based & fine grain access control mechanisms etc.

Qualifications

• 4+ years of relevant experience in data engineering/analytics space

• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.

• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka

• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.

• Experience developing solutions for cloud computing services and infrastructure.

• Experience developing and maintaining data warehouses in big data solutions.

• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective

• Experience in agile development.

• Strong people skills, specifically in collaboration and teamwork

• High level of curiosity, creativity, and problem-solving capabilities

Key Highlights

• Great exposure to the government sector
• Contract Duration: 4 months
• Nearest MRT: Buona Vista
• Salary: Up to $3,200 per month
• Working Arrangement: Monday – Friday (Office Hours)

Key Responsibilities

• Check for duplicate data entries for selected data fields.
• Create data validation for selected fata fields to guide users when providing data for excel data tables.

Key Requirements

• Diploma in Computer Science or any related field.
• Experience in Microsoft Excel, Python will be advantageous.

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

Venice Kang

BGC Group Pte Ltd

EA License No: 05C3053

Registration No. R23117645

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7-10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus. Requirements

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

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Resso, CapCut, Helo, etc. We are building platform foundation, leveraging data and ML models, and providing end-to-end solutions to power global growth of ByteDance products. Typical Growth projects including referral, notifications, paid ads, etc.

You will:

- Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.

- Prototype analysis pipelines to provide insights, and provide quick responses to business inquiries and events;

- Conduct routine and non-routine end-to-end analyses with large, complex data sets, and make recommendations on appropriate solutions;

- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.

Qualifications

- Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field

- 5+ years of working experience in Data Science, algorithmic engineering, or machine learning

- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling

- Strong technical leadership combined with hands-on data mining and machine learning application experience

- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice

- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;

- Quickly familiar with and starting a new business; Can lead a small project team to support business

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

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.

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7-10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus. Requirements