Total 4,035 data entry clerk job vacancies in Information Technology category in Singapore

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

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

Position Overview

As a Data Engineer at ClearWind, you will play a pivotal role in the development and maintenance of our innovative geospatial data system. This system is vital to ClearWind’s data operations, encompassing two Linux virtual machines (VMs) and API connections to numerous internal software tools. Your primary focus will be on creating and ensuring a seamless data integration between Google Earth Engine analysis and the R server, a critical component of our VMs.

You will be entrusted with the crucial task of managing data flow from field operations to headquarters, architecting and refining the central geospatial data system, and processing project data in line with Verra VCS methodologies and CCB Standards. Your responsibilities will extend to designing new data flow architecture, automating processes, and ensuring that our data analysis upholds the highest standards of statistical rigor.

In this role, you will work closely with several key team members, contributing significantly to the success and growth of ClearWind’s projects. This position reports to the Global Head of GIS and the Head of Systems.

Duties

· Lead the development and optimization of virtual machine-based data and software infrastructure on Google Cloud for the specific purpose of processing carbon emissions data and conducting sophisticated data analysis.

· Collaborate with the members of the GIS team to perform analysis on Google Earth Engine (GEE) to extract relevant geospatial data; Integrate geospatial datasets to extract and monitor carbon emissions data over time.

· Translating VCS Verra Methodologies into a cloud-based system that and either be given an interface to receive and process raw field data or be used to input minimum screening criteria for a project for initial scoping and feasibility assessments.

· Design and deploy robust data ingestion pipelines using programming languages Python and R to ensure the seamless integration of diverse data sources, including GIS and statistical datasets.

· Spearhead the creation of custom data transformation and loading scripts using bash and Python; Oversee the design and implementation of multiple PostGIS databases, tailored for the management of large-scale carbon emissions data analysis.

· Host and manage Linux VMs, including multiple servers and applications using Docker.

· Ensure the continuous and real-time collection and aggregation of data from field operations to headquarters for immediate analysis; Implement a rigorous statistical analysis framework that ensures compliance with various relevant standards and methodologies.

· Continuously optimize the system and infrastructure for efficiency and ease of use. Ensure full transparency, enabling 3rd-party verification of data and methodologies.

· Develop web applications for real-time data visualization, incorporating interactive and user-friendly automatic statistical analysis features. The current application and dashboards are created in Shiny (R Server).

· Establish an evidence validation framework that can cross-reference and reconcile data from multiple sources if required.

· Contribute to the writing and development of the Project Design Document for ClearWind’s future projects.

Required Skills:

· Proficiency in programming, mathematics, and statistics for data processing.

· M.S. in Geography, Information Science, or Earth Sciences, with 4-5 years of experience in a related field

· Demonstrated ability to manage a data from variety of sources and track updates and modification

· Knowledge and Experience with Geographic Information Systems (GIS), including Google Earth Engine and Google Earth Engine application development

· Proficiency with interpreted data languages for carbon data, including one or more of the following: Python, Javascript for Google Earth Engine, R, and/or IDL. Proficiently in R is essential.

· Experience with version control (i.e. GitHub) and agile development practices

· Proficiency working in a UNIX/Linux command-line environment and shell scripting

· Experience with reading, subsetting, interpreting, and utilizing geospatially referenced and structured data for research and applications.

· Familiarity and experience in metadata standards and conventions

· Excellent data documentation skills

· Demonstrated ability to work both independently and in a dynamic team environment while dealing with multiple issues, tasks, and priorities concurrently

· Experience in Google Cloud Platform (GCP) and web development is ideal

· Familiarity with containerisation on Docker is recommended

Work Condition & Team

The chosen candidate will mainly work at our modern office in the central area of Singapore. They will also be required to travel regularly to project sites within the region. The candidate will be part of the dynamic and diverse team dedicated to making a meaningful, significant impact against climate change.

Our mission involves preserving and restoring crucial ecosystems in Southeast Asia. Together, we aim to build a greener and more sustainable future.

If you believe this is the ideal opportunity for you, we encourage you to apply through our job board. Please provide the most recent version of your CV along with your availability details.

Come Join Us

ClearWind is a Singapore-based forest carbon project development company. They design and develop nature-based projects across Southeast Asia to tackle climate change by protecting tropical forests and restoring natural ecosystems. ClearWind aims to achieve this through global carbon and climate markets, while also ensuring that local communities and ecosystems benefit from their projects. They help communities leverage natural capital for economic development, while also assisting companies in meeting their climate targets.

Role title – Azure Data Engineer

Total Experience : 2+ YEARS

Work location – Singapore
Company – Bahwan Cybertek
Salary: 4-6k SGD

**Duration - 1 year with Option to extend for another 1 year**

Technical Skills Requirements:

The candidate should possess the following: At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory • Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

At least (3) years of hands-on experience in - Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing - Implementing Data Quality validation

Good to have following skills

• Knowledge of Azure Databricks

• Data modelling in Azure Analysis Services using star and snowflake schema.

• Knowledge of writing DAX query to create measures & dimensions.

• Python Coding Experience

Non-Technical Skills Requirements (Business Skills) At least (3) years of relevant experience in:

Business Requirement Analysis

Job Responsibilities:

1. Responsible for daily forecasting and analyzing of the e-commerce platform operations. You will also be required to generate operation analysis reports, provide conclusions and suggestions to various departments.

2. Build a data analysis model, provide data support for daily operation activities, and be able to provide strategies and suggestions for business development based on data analysis.

3. Develop and improve A/B Test plans for different business strategies, summarize and analyze, continuously optimize, and ensure that they bring actual value to business growth.

4. Independently undertake data operation analysis work, provide data decision-making and strategic support for business and products, the analysis direction includes but not limited to relevant analysis such as activity effects, growth conversion, user behavior, and membership stratification.

Job Requirements:

1. More than 1 years of data analysis experience, major in statistics, e-commerce, etc., rich experience in data analysis and data products in the e-commerce industry.

2. Able to conduct good analysis and possess excellent data report presentation capabilities, able to think and analyse problems systematically. Meticulous and possess strong execution ability.

3. Familiar with e-commerce-related data products, understand e-commerce-related dimensions of indicators and improvement methods.

4. Familiar with the operation of e-commerce. retail, FMCG, or fast fashion industries.

• Support the RDC Team in the Management and Operation of the Regional Data Center Singapore
• Physical management of Devices, cabling and IT Infrastructure
• Coordinate and implement infrastructure installations usually with support of External Service Provider (cabling, racking of equipment, management of room etc.)
• Stock management; maintain an online system for Regional Data Centers in APAC
• Support movement of goods between DC Locations and trigger purchasing of spare parts where needed
• Supports & Conducts quality checks regarding the implementation of infrastructure standards in alignment with the data center consultant
• Support data center consultant and housing specialist in audits where required
• Support of audits (C/AU, CI/DSO, external Audits etc.)
• Support all IT Infrastructure teams in their projects and physical rollout activities
• Work with a diverse team of Consultants and Engineers on AP wide topics.

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.

The Business Risk Integrated Control (BRIC) team is missioned:

- To protect TikTok users, including and beyond content consumers, creators, advertisers;

- By securing platform health and community experience authenticity; - Through building infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.

The BRIC team works to minimise the damage of inauthentic behaviours on TikTok, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API and growth health, live streaming security and financial safety (ads or e-commerce), etc.

In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities

- Build rules, algorithms and machine learning models, to respond to and mitigate business risks in ByteDance products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.

- Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.

- Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.

Qualifications

- Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles).

- Solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python.

Preferred Qualification

Minimum 3 years relevant work experience from a large-scale internet business

- Familiarity with machine learning or social/content online platform analytics. Bonus given to proficiency in modern machine learning applications.

- Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

- Minimum 3 - 5 years relevant work experience from a large-scale internet business

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.

The Educational Data Technician (EDT) is directly responsible for establishing and maintaining sustainable data aggregation and integration for whole school educational data. This includes identifying, building and maintaining suitable platforms for the storage, transformation and display of educational data to support academic leadership and educators in making data informed strategic decisions. Responsibilities include extracting data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, analyze the data for information and patterns, develop prediction systems, present the data in a clear manner, and propose solutions and strategies. Working closely with VP and HoT&L.

GESS is a K-12 International school offering both a German and International Baccalaureate curriculum, with 2700 students across three sections, Kindergarten, German Section and European Section.

The position is full time campus based.

Key Accountabilities - Main responsibilities

· Student attainment data (quantitative and qualitative) aggregation.

· Establishing mechanisms and support for automating and/or streamlining data input;

· Utilizing a data warehouse to store data longitudinally.

· Utilizing software to synthesize data and generate reports.

· Maintaining a web-based data dashboard, customizable to stakeholders.

· Works closely and collaborates with the Director of Technology and technology team as required.

· Work with the Vice Principal, Head of Teaching and Learning and Academic Directors to develop structures for collection, synthesis, and analysis of the academic student learning data to be collected (e.g., beginning-of-year/end-of-year tests, unit assessments, writing prompt results).

· Coordinate external testing systems (e.g., CEM, IB, PISA) to ensure testing logistics (e.g., technology support, scheduling, training) run effectively and efficiently.

· Generate and maintain reports, including a dashboard of indicators. This would include generating regularly scheduled reports (e.g., Annual Report, CEM results) and reports as requested (e.g., grade-level assessment results, PLC results).

· Develop data collection tools for use in classrooms that provide real-time analysis to inform teaching.

· Assist VP in gathering and reporting schoolwide academic data for internal use and board presentations.

· Liaise with third-party vendors on new technology and software opportunities to further enhance or develop reporting capabilities.

· Stay abreast of current developments related to educational data, data integration systems, and data applications.

· All other responsibilities and tasks as deemed appropriate by SLT and the Line Manager.

Technical and Soft Skills

· Bachelor’s degree

· Excellent collaboration, interpersonal, facilitation, and communication skills

· Knowledge and understanding of research techniques, program evaluation, and data and reporting dynamics (e.g., data analytics, business intelligence)

· Strong technology systems skills with expertise in databases, spreadsheets, formatting and reporting, and related applications

· Aptitude to learn new technology systems

· Experience leading change initiatives from conception to completion

· Ability to perform strategically and operationally

· Results-oriented, with demonstrated skill in using data to inform and improve programs

· Attention to accuracy of detailed information

· Ability to adapt quickly to changing priorities

· Team player and ability to work in a fast-paced environment and prioritize multiple activities

· Professional judgement handling confidential information

· A proactive and 'can do' attitude

· Ability to meet deadlines

· Critical thinking

Job Description

• Accurate and timely data entry of financial transactions into the company database.
• Verifying, correcting, and updating data to maintain accuracy and integrity.
• Collaborating with the finance team to ensure seamless information flow.
• Generating reports and assisting in data analysis as needed.
• Keep proper records and filing for bookkeeping purposes.
• Perform any other duties assigned from management time to time.

Requirements

• Training will be provided to all successful candidates.
• Self-motivated.
• Enthusiastic, positive and energetic.
• Able to speak both English and Chinese ( to liaise with Chinese clients)
• Proficient in MS Office software.
• 1 year contract (Based on performance, will be able to convert to full time)

EA Reg Number: R1879595

Job Description:

• Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.
• Create user-friendly, visually engaging dashboards, reports, and presentations to convey complex data analyses to stakeholders, facilitating data-driven decision-making at all organizational levels.
• Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.
• Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.
• Stay updated on industry trends and best practices in data analysis and engineering. Propose and implement process enhancements to improve data quality, efficiency, and overall performance.
• Establish, uphold, and oversee data security and privacy measures on the data platform.
• Work closely with other teams to ensure the successful execution of projects and initiatives.
• Maintain and provide day-to-day operational assistance on the data platform, including:
• Monitoring data pipelines, databases and analytical processes to ensure uninterrupted operation.
• Promptly identify and resolve data-related issues, performance bottlenecks, and data quality concerns.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a closely related field.
• Minimum of 5 years of practical experience in data platforms, data analytics, or related projects.
• Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.
• Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.
• Display proficient programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated capability to design and implement data models, ETL processes, and data integration solutions.
• Be acquainted with cloud-based data platforms like Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent, as well as data storage technologies such as SQL and NoSQL databases.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is considered a plus.
• Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.
• Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.
• Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.

Applicants with relevant experience may be considered for senior roles

Please send your detailed resume in MS Word format including the following details to : [email protected]

1. Recent photograph

2. Personal particulars

3. Education Level

4. Each employment background

5. Working experience

6. Reason for leaving each employment

7. Last drawn salary

8. Expected salary

Data Center Operator

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Data Center Operator. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE

1-year renewable contract

ROLES AND RESPONSIBILITIES

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.

Deliverables

1. No high audit findings or issue.

2. No major operation issues.

3. Consistently review, plan and improve the current operation model.

Goals and Objective

1. Achieve the above deliverables.

2. Implement and deployed projects/tools if any.

WHAT’S ON OFFER
You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected] .Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS
Consultant Name: Keerthana Ramakrishnan
Avensys Consulting Pte Ltd
EA License 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Are you ready to take your first step into the exciting world of Artificial Intelligence and revolutionize the retail landscape? Look no further, because ViSenze, a pioneering AI start-up and global leader in visual recognition technology, is thrilled to invite you to our immersive job opportunity!

DFI Company Brief 

 DFI Retail Group (the ‘Group’) is a leading pan-Asian retailer. On 31st December 2021, the Group and its associates and joint ventures operated over 10,200 outlets and employed some 230,000 people. The Group had total annual sales in 2021 exceeding US$27 billion. 

The Group provides quality and value to Asian consumers by offering leading brands, a compelling retail experience and great service; all delivered through a strong store network supported by efficient supply chains. 

The Group (including associates and joint ventures) operates under several well-known brands across food, health and beauty, home furnishings, restaurants and other retailing. 

The Group’s parent company, Dairy Farm International Holdings Limited, is incorporated in Bermuda and has a primary listing on the London Stock Exchange, with secondary listings in Bermuda and Singapore. The Group's businesses are managed from Hong Kong by Dairy Farm Management Services Limited through its regional offices. 

 
DFI Retail Group is a member of the Jardine Matheson Group 

Responsibilities: 

• Implement Data SRE best practices to enhance the reliability, availability, and performance of our data infrastructure. 
• Drive data operational excellence by introducing data system observability which includes monitoring, logging, and alerting. 
• Collaborate with cross-functional teams, including data engineering, analytics, and other IT teams to understand data system requirements and deliver effective solutions. 
• Monitor and troubleshoot data-related incidents, working closely with cross-functional teams to ensure quick resolution. 
• Be a champion for Infrastructure as a Code philosophy and drive its adoption. 

• Bring DevOps culture and mindset to the entire data engineering team. 
• Stay informed about emerging technologies and industry trends in data management and SRE. 
   

• Bachelor’s degree in technology, Engineering, or a related field. 
• Preferably 5+ years of DevOps / SRE experience. 
• Experience in maintaining highly scalable system in cloud environment. 
• Good knowledge infrastructure and networking. 
• Experience in building observability platform using tools such as Prometheus & Grafana, ELK stack. 
• Experience in building CI/CD pipelines or platform using tools such as Jenkins, GitHub Actions, Bitbucket Pipeline, etc. 
• Experience in driving Infrastructure as a Code project using tools such as Terraform. 
• Experience in incident response for tech-related incidents 
• Good to have knowledge about end-to-end data engineering workflow and data infrastructure (data lake, data pipelines, data visualisation tools, etc. Huge plus for having experience in working as DevOps for data team. 
• Able to work independently in a fast-paced environment with minimum supervision. 
• Good communication skills including strong written and spoken English. 

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

About the Client

Software Company

Responsibilities

• Develop and maintain interactive and visually appealing dashboards and reports using Power BI for data-driven decision-making.
• Design and implement efficient data extraction, transformation, and loading (ETL) processes using SQL and Databricks to ensure data accuracy and reliability.
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data models and visualizations.
• Create and maintain data pipelines to collect, process, and prepare data from various sources for reporting and analysis.
• Perform data analysis and ad-hoc queries to uncover insights and trends, contributing to data-driven strategies.

· Skills/Requirement

• Proven experience (at least 5 years) in developing and maintaining Power BI dashboards and reports for business analysis.
• Strong proficiency in SQL for data querying and manipulation.
• Experience with Databricks or similar big data processing platforms for ETL processes.
• Excellent data modeling skills to design efficient and scalable data structures.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

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

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

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Holmusk, a 2019 World Economic Forum Technology Pioneer, is building a leading real-world evidence platform in mental health. We leverage data and advanced analytics to accelerate research and improve outcomes in psychiatry across pharma, healthcare providers, and payers.

We are seeking an experienced NLP expert for the Senior Data Scientist (NLP) position. The position will serve as the in-house expert for NLP algorithms applied to healthcare problems and would be responsible for driving the custom NLP projects/ solutions for enrichment of Holmusk’s real world behavioral health database. If this description excites you, come join a diverse and collaborative team of engineers, designers, data scientists, health and business professionals who are passionate about improving healthcare.

Responsibilities

• Comprehend requirements for extraction of specific data from unstructured clinician's notes and be responsible for the complete life cycle of NLP model development, from problem definition and data collection to model training, validation, and deployment.
• Work on developing NLP models in collaboration with junior data scientists which encompasses code review, maintenance of code repositories and code/ model versioning.
• Work closely with cross-functional teams, including engineers, clinicians, and product managers, to integrate NLP solutions into broader systems and applications.
• Responsible for creating material including model insights, use cases and publications as required by managers, and ensuring scientific rigor in model development.

What We're Looking For

• Master's or Ph.D. in Computer Science, Data Science,Statistics, Applied Mathematics, Bioengineering or related fields from recognised institutes.
• Proven work experience of 3+ years in handling NLP projects.
• Proficient in Python/SQL, solid programming skills.
• Candidate with at least 3 to 4 years of experience in handling end to end NLP projects.
• Proven hands-on experience in pre-training, fine-tuning of large language models like BERT, GPT, Llama etc. for NLP tasks like information extraction, NER and text classification.
• Experience with continuous integration and deployment pipelines for machine learning/deep learning models.
• Good working knowledge of tools and frameworks, including but not limited to TensorFlow, PyTorch, AWS, MLOps, Docker, Lang Chain Agents, and other relevant technologies.
• Candidate who can stay abreast of the latest advancements in NLP and related tools and integrate them into the development process when applicable.

Preferred Skills

• Experience with generative AI and other specialized NLP techniques like prompt engineering, RAG etc.
• Knowledge of best practices in model explainability and interpretability especially in healthcare/biomedical domain.

At Holmusk we take pride in our diverse workforce and inclusive culture. We believe it takes all kinds of people to build the best products and bring real change to the healthcare space.

Responsibilities:

· Develops and designs new software products

· Maintains and supports existing software products

· Performs technical edits of documentation

· Maintains high quality standards while still developing software on schedule

· Provides expertise on specific technical areas

Requirements:

· Diploma or Degree in Computer Science and Information Technology or equivalent

· Excellent knowledge and experience in web-based application development.

· Excellent knowledge and experience in Microsoft .Net (asp.net and C#), Microsoft SQL, Crystal Reports.

· Familiarity with SQL Server Reporting Services is highly regarded

· Our benefits and compensation for permanent position are as follows:

·

· Salary for experience candidates will be considered based on the years of experience and our internal salary structure

·

· 1 month AWS

· Variable Bonus ranging from 1 to 3 months depending on individual and company performance

· Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

· Working days: Monday to Friday (1 day work from home per week)

· Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

· 18 days up to 21 days for executive (Engineer and above)

· Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

· Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

· Term Life

· Personal Accident

· Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

· Flex Dollars of $500 per financial year

· Free annual year-end Health Check-Up

· Monthly Birthday Party Celebration

· Monthly Sports Activities

· New Born Gift

· CSR Initiatives

· Department Bonding Activities

· Biennial team building and staff appreciation dinner

· Gym Corner for employees to exercise

·

· Good Pay + Good allowance + Good Bonus

· Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

· Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Developer for Data Analytics Startup

About Us

We’re an emerging data analytics startup that’s identified our niche and carved our space. Now,

we’re preparing for the next phase and need the right technical minds to help us navigate this

journey.

Role

As a Developer, you’ll work hands-on with our evolving stack that includes JavaScript, Type-

Script, microservices, Redis, Postgres, and gRPC. This role promises a rich learning-by-doing

experience, with challenging tasks that will push you to grow.

What You’ll Do:

1. Dive into our current codebase, enhancing its scalability and maintainability.

2. Play an integral role in refining our React frontend, leveraging the capabilities of React-

Query and NextJS.

3. Aid in our ongoing transition to TypeScript and expansion of microservices architecture.

4. Engage with Redis, Postgres, and gRPC to improve data flow and performance.

5. Work in an environment where challenges are constant, and every task is a learning

opportunity.

What We’re Looking For

• Experience with JavaScript and TypeScript.

• Familiarity with cloud infrastructure, microservices, Redis, Postgres, and gRPC is a plus.

• An affinity for taking on challenging tasks and converting them into growth opportunities.

• The spirit of a self-starter, ready to learn and adapt.

Why Join Us?

This is your chance to experience the raw thrill of a startup environment, where challenging

tasks abound, and every day promises a wealth of learning. We’re not just building a product;

we’re building our futures.

• Perform marketing and sales of Company’s products in local and overseas markets.
• Conduct market research and undertake product development projects.
• Establish production plan and sales control and provide input for yearly sales budget.
• Provide technical service and handling of customer’s requests and feedback.
• Develop new customers and new applications to expand sales and enhance profitability.
• Act and comply with corporate governance and ISO requirements.
• Participate in Company’s Workplace Safety & Health programs.

• Degree in Chemical Engineering or Chemistry or Polymer Science or Rubber & Plastic Technology
• Preferably with 1 - 2 years of working experience in sales/marketing and technical service of polymer products.
• Knowledge in international trading will be added advantage.
• No experience can consider as training provided.
• Opportunity travel to SEA countries for meet up with client.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1549345
Triton AI Pte Ltd
License no. 21C0661

• Up to $3300 (Entry Degree) and $4500 (Experienced Candidates within Chemical Industry)
• Permanent Role with AWS and Variable Bonus
• MNC Chemical Manufacturing Company, CBD near MRT stations
• Entry Level for Degree in Chemical Engineering

• Work with business stakeholders on data science projects.
• Work on various data sets in the organisation to solve real-world problems.
• Develop, validate, and deploy machine learning models.
• Propose solutions and strategies to overcome business challenges.
• Generate actionable insights for business through analytics.
• Research and understand the latest technologies to propose new innovative ideas

Olam Fund Management is the fund management arm of Olam International Limited (Olam). Olam is listed on Singapore Stock Exchange and is leading agri-business operating from seed to shelf in 65 countries, supplying food and industrial raw materials to over 13,800 customers worldwide. Our team of 23,000 employees has built a leadership position in many businesses including cocoa, coffee, cashew, rice and cotton.

OFS’s fund management business is engaged in building Quantitative Trading Strategies (Quant Fund) and Agri fundamental trading Strategies (Fundamental Fund). These combine our experience and insight in commodity/financial markets with our knowledge of derivatives and statistical and mathematical skills built over the years.

The quant fund team manages proprietary systematic trading strategies in global markets across all major asset classes (equities, fixed income, commodities, and currencies).

We are looking to hire a Data Engineer to support our ambitious growth plans.

RESPONSIBILITIES:

· Work closely with the business e.g. Traders, Quants and technology teams and assist in the gathering of business requirements.

· Skill and acumen to handle large amount of data with varying frequency and structure.

· Good at handling implementation of data pipelines, using ETL tools , ensuring data quality and persisting in efficient manner.

· Design solutions, implement them, and provide post implementation support.

· Work in an Agile and Scrum methodology: TDD, Test Driven Development, Automated Testing, Continuous Integration Automated Deployment, Pair/Peer reviews.

· Define objectives by analyzing user requirements; envisioning system features and functionality.

QUALIFICATIONS:

· Bachelor degree or equivalent in computer science or a related field.

· Experience doing Test-Driven Development, functional testing and continuous integration.

· 4+ years of relevant Python, java, relational and No SQL database experience.

· Knowledge of Kafka, Spark, Airflow, Postgres DB.

· Python experience preferred. Experience in other OO languages be acceptable.

· Experience with relational database, preferred Postgres.

· Strong written and verbal communications required.

• Extensive knowledge garnered working as a Data Centre Operator.

• Thorough knowledge of Data Centre Operations with strong knowledge of Operations methodology.

• Experience in eyeball checking of system faults and failures

• Good technical knowledge on Data Centre monitoring tools.

• Possess an in-depth knowledge of data centre infrastructure technology and components for installation.

• Strong written and excellent communication skills.

• People are ready to work alone and can join in next 30 days.

Responsibilities

• 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.

Requirement

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 4+ 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.

Skillset (Good to have)

• 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.

Data Center Operations Manager- In this new role, you will be responsible to supervise a team of technicians to make sure that all servers and computer networks are running smoothly and efficiently and are up-to-date.

You Will:

• Ability to supervise data center operators and leads, direct and utilize DC knowledge to resolve issues
• Support application management for server hosting, and third-party service providers
• Executes KPIs established by senior IT leadership
• Support data centre strategy and changing circumstances as required
• Ensures continuous delivery of IT services, monitoring of datacenter performance and security reviews
• Performs other job responsibilities as assigned by management
• Management of document policies/procedures to meet required Service Level Agreements
• Datacenter infrastructure management, Problem-management, Availability & Capacity Management
• Management of external contractors and consultants
• Resource-Management
• Participates in strategic and operational planning to achieve business goals by fostering innovation, prioritizing of IT initiatives
• Identifies opportunities for the appropriate and cost- effective investment of financial resources in IT systems and resources.
• Ensures continuous delivery of IT services, monitoring of IT systems performance and taking an active role in security reviews.

You Bring

• A bachelor's or master's degree in computer science, information technology, or a related field.
• At least five years of cloud security experience, focusing on designing and implementing secure cloud computing solutions.
• A strong understanding of cloud computing technologies, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
• Knowledge of security frameworks such as ISO 27001, NIST Cybersecurity Framework, and CIS Controls.
• Familiarity with cloud security platforms like Microsoft Azure, Amazon Web Services, and Google Cloud Platform.
• Certifications such as Certified Cloud Security Professional (CCSP), Certified Information Systems Security Professional (CISSP), or Certified Cloud Architect (CCA) are preferred.