Total 4,032 data entry job vacancies in Information Technology category in Singapore

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments. As a Manager, NLP and Generative AI, you will contribute to the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will tap into your expertise in NLP to streamline and enhance automation of key servicing processes, uncover customer insights more effectively from untapped data assets, enhance risk and marketing decisions by leveraging unstructured data and improve our internal operational processes by optimizing and automating essential business workflow. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Pilot new projects that leverage AI/NLP to uncover insights from vast data sets, driving decisions and innovations that enhance customer satisfaction and operational efficiency.
• Implement robust project management frameworks to oversee the end-to-end development lifecycle of AI projects, from initial concept to deployment and evaluation.
• Foster a culture of continuous innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Communicate effectively with stakeholders at all levels, translating complex AI concepts into understandable and actionable insights.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Demonstrated ability in machine learning, NLP, and Generative AI, with a demonstrated ability to handle projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Good understanding of state-of-art ML and deep learning techniques including transformers, BERT, auto-regressive language models, and other un-supervised learning techniques in NLP
• Experience with working with large language models such as chatGPT, Llama, PaLM, Bard, Bloom, Vicuna, Mistral, etc.
• Solid understanding of agile project management principles, with experience leading teams and handling projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Job Summary

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. Overall experience can be 4 to 10 years. Consultant/ Senior Consultant preferably. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Key Responsibilities

• Analyze the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

What we are looking for

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Job Description

• Create technical, functional, and operational documentation for data pipelines and applications.
• Understand business requirements to drive the design of data solutions/applications and technical architecture.
• Work with other developers, designers, and architects (local and remote) to ensure data applications meet requirement and performance, data security, and analytics goals.
• Lead the configuration, build, and testing of data applications and technical architecture.
• Establish and grow a data engineering framework to ensure the reliability, scalability, quality and efficiency of data pipelines, storage, processing and integration.
• Coordinate and participate in structured peer reviews / walkthroughs / code reviews.
• Maintain and/or update technical and/or industry knowledge and skills through continuous learning activities.
• Mentor and develop junior engineers.

Requirements & Qualifications

• Experience: 4 - 5 Years
• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks/Hadoop platform.
• skills inSpark, Python, and SQL.
• Must be a have Certified Data Engineer from Databricks
• 1-3 years of experience in INFORMATICA IDMC Services
• Should possess a INFORMATICA Professional-level certificate on IDMC Integration Services (CDI or CAI)
• Good understanding of developing data warehouses, data marts, etc.
• Good presentation skills with the ability to convey complex ideas to peers and management.

Job Role

Allianz Consulting was established in 2004 as the internal consulting division of the Allianz Group. Our vision is to be the consulting partner of choice for Allianz Group core segments. Our motto: drive change, grow people, for Allianz. Our experienced consulting teams support all Allianz operating entities worldwide in planning and implementing their local key strategic projects.

You will drive the delivery of data analytics or process mining projects through project steering, ensuring content delivery, and managing client relationships. You will drive the capability building efforts of the team in data analytics or process mining. You will also work with engagement managers and partners in identifying business development opportunities and pitching for new projects.

Key Responsibilities

· Ensure high quality and timely project delivery through individual contribution (e.g., driving analysis, project management, developing recommendations).

· Data Analytics: Analyse and interpret large datasets to provide actionable insights and recommendations. Visualise data to communicate findings and recommendations effectively.

· Process Mining: Support on Business Process Re-engineering projects, drive the identification of process wastage, inefficiencies, and support in the development of recommendations to drive operational improvement with a data-driven approach.

· Develop personal knowledge in Data Analytics or Process Mining.

· Be able to anticipate client needs and carry this forward through analysis and development of innovative concepts and solutions.

· Maintain and develop strong relationships with key clients and stakeholders.

· Support business development efforts through creation of pitch decks for internal clients.

· Development of internal capabilities to enhance the global Allianz Consulting presence.

Key Requirements

· Data Analytics: 1-2 years of relevant experience using data analysis/visualisation tools (Power BI is a must, other tools such as R/ SQL/ Python is a plus).

· Process Mining: 1-2 years of relevant experience in process improvement topics (Process Mining and/or Celonis would be advantageous).

· Understanding of the insurance industry, distribution channels and operations would be advantageous.

· Bachelor's or master's degree.

· Fluent in spoken and written English. Second language would be an advantage.

· Strong interpersonal skills and project planning management capabilities – able to work well with senior team members and organisational leaders.

· Robust analytical and problem-solving proficiency, including methodological & conceptualisation skills, and presentation.

· Ability to work both independently and collaboratively in a team.

· Ability to navigate different working cultures.

· Passionate and self-driven with a knack for creativity & innovative thinking.

Allianz Consulting was established in 2004 as the internal consulting division of the Allianz Group. Our vision is to be the consulting partner of choice for Allianz Group core segments. Our motto: drive change, grow people, for Allianz. Our experienced consulting teams support all Allianz operating entities worldwide in planning and implementing their local key strategic projects.

D&I statement

We are proud to be an equal opportunity employer encouraging diversity in the working environment. We welcome all applications regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let´s care for tomorrow.

Candidates who have just graduated from University are welcome to apply, training will be provided.

Responsibilities includes:

• System Engineering Design
• Generating Test Plan & Procedures
• Sourcing and Procurement
• Planning and Setting up Test Lab
• Conduct Factory Acceptance Test
• Manage Installation/Checkout/Integration & Testing (ICIT) at customer’s sites
• Perform Troubleshooting and Resolving System Faults
• Perform On-Site Acceptance Test
• Managing project activities and coordinate with multiple stakeholders which includes suppliers, customers and other teams of staff for the project implementation.

Requirements:

• Degree in Electrical & Electronics Engineering / Computer Science or equivalent.
• Excellent Oral and Written Communication Skills.
• Computer literate e.g. MS office, Visio.
• Excellent Time-management. Good Learning Capability.
• Willing to travel to customer sites.
• Experience and knowledge in Infocomm Technology, RedHat Linux, Virtual Environment, Network Security is preferred.
• Work location: Jurong East
• Class 3/3A driving license

Interested candidates, please forward a detailed resume and email to career{a}tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Attention: Wee Wan Qi / EA Personnel No: R22109446

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Entry (Part Time)
• Working Location: Jurong East
• Working Hours: 2-3 days (Tuesday, Thursday 8.30 am – 5.30 pm)
• Salary Package: Basic $1,000
• Duration: 2 months

Key Responsibilities

• Assist in entering Purchase Orders (P/O) for every sales entry.
• Maintain accurate and up-to-date sales records.
• Ensure data integrity and consistency in the sales admin system.
• Support the sales admin team with additional data entry tasks as needed.
• Perform routine checks to ensure all entered data is complete and accurate.

APPLY NOW!!!

• Previous experience in data entry is an advantage.
• Proficient in basic computer applications, such as Microsoft Office.
• Detail-oriented with a high level of accuracy.
• Good organizational and time management skills.
• Ability to work independently and as part of a team.

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. Please indicate #67480 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 Description

• Industry/ Organization Type: Manufacturing/ Supply Chain
• Position Title: Data Entry Specialist
• Working Location: Tuas (WFH available)
• Working Hours: 5 days, Monday – Friday (8 am-5 pm)
• Salary Package: Basic Salary
• Duration: Temporary (6-9 months)

Key Responsibilities

• Verify and check spare part products.
• Enter relevant information into the SAP system accurately.
• Communicate with suppliers to resolve any unclear information or discrepancies.
• Maintain organized records and ensure data integrity.
• Assist in generating reports and extracting data as needed for different business needs.
• Perform other ad hoc duties as assigned to support the team and business operations.

APPLY NOW!!!

• Experience in using the SAP system is highly preferred.
• Strong attention to detail.
• Good computer literacy and communication skills.

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. Please indicate #67597 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

Responsibilities:

• To handle infrastructure set-up, Cloud engineering and deployment of AI/machine learning models in the MLOps platform.
• Review technical solutions for the deployment of AI models, along with the data pipelines and visualization interfaces.
• Utilize DevOps tools and automate model deployment / tuning via orchestration.
• Provide guidance for maintenance, support and enhancements to model deployment platforms.
• Hands-on experience to:

1. Analyze, design and develop test for model deployment and automation.
2. Design and implement API interfaces.
3. Set up Continuous Integration / Continuous Deployment pipeline.
4. Work with Data Scientists on understanding and enhancing data models for deployment.
5. Liaise with Data Engineers on the requirements for each data sources, understand the ETL required.
6. Work with DBA to manage the DB servers.
7. Work with Cloud infra engineers for on-boarding to AWS and MS Azure.

Requirement:

• At least 5 years’ experience in developing, implementing and maintaining IT systems.
• Degree and equivalent training (e.g. specialist diploma, professional certificate) in Business Analytics, Computer Science / Computer Engineering, Computer Engineering, Information Systems, Mathematics, Statistics, Engineering or related disciplines that possesses an analytical component.
• Practical experience of software engineering or software development experience in making AI/ML models production ready.
• Understanding of programming language such as Python, R and SQL.
• Foundational knowledge of Cloud computing and infrastructure setup.
• Foundational knowledge of data pipeline, data engineering and data pre-processing.
• Foundational knowledge of data visualization tools such as Tableau, QlikSense, Power BI.
• Agile and Scrum experience is preferred.

• Proven experience in data engineering or software development.
• Proficiency in .NET for data processing and integration.
• Experience with ETL processes and tools.
• Strong programming skills in Python.
• Familiarity with PySpark and Hive for big data processing.
• Basic understanding of ChatGPT and machine learning models.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Willingness to learn and adapt to new technologies and methodologies.

Kindly take note that you will be employed under DYNAMIC HUMAN CAPITAL and will be working with our business partners for the above mentioned project.

If you would like to know more about this role, do drop me a message or you can alternatively drop me an email stated below.

[email protected]

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration. Under the revised Employment Agencies Licence Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g., NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterlyreferral-and-placement/are-employmentagencies-allowed-to-collect-personal-data

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Latha M

Senior Researcher

Dynamic Human Capital Pte Ltd,

2 Kallang Avenue #03-08 CT Hub Singapore 339407

EA License No: 12C6253 |Registration No: R1987570

Key Responsibilities:

• Oversee the implementation of data analytics strategy for a client organisation, and provide team leadership as well as guidance and coaching to a Data & AI delivery squad.
• Client-facing interaction including providing analyses, recommendations, presentations and advice to clients.
• Lead interdisciplinary teams that combine technical, business and data science competencies to deliver work in both waterfall or agile software development lifecycle methodologies.
• Oversee team management including budgets, forecasting, work allocations and staffing.
• Demonstrate an acute ability in project risks and issue management, and provide guidance on key project and design decisions in project steering committee meetings.
• Build a team of high performing, motivated and committed data analytics professionals as part of practice-building and centre management leadership role.

Requirement:

• Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the engineering, computer science, statistics or analytics
• More than 10 years of experience leading an Analytics consulting team OR experience with leading one or more MNCs through the journey to becoming a data-driven organization. OR
• More than 10 years of experience implementing a broad range of Analytics/Business Intelligence projects such as: Data Governance and Management, visualizing KPIs on business dashboards, applying advanced analytics/data science techniques to realize business values
• The right candidate will need to have hands-on experience with one or more of the following Analytics technology stacks as well as familiarity with a broad range of solutions for visualization, advanced analytics, data ingestion/transformation, storage and hosting and willingness to learn new ones on the job.
• Data Management & Storage: Talend, Denodo, Alation, Oracle Data Warehousing, IBM InfoSphere, Microsoft SQL Server, Hortonworks Data Platform, Cloudera, MinIO
• Data Visualisation: Qlik, Neo4j, Tableau, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
• Statistical/Data Science Tools: H2O.ai, Dataiku, SPSS, R, Python, Jupyter
• Project management certifications such as PMP, Agile, ITIL.
• Proven track record in program management around integration, scope, cost, time, resource, quality, risk, procurement, communication and stakeholder management.

Key Responsibilities:

• Oversee the implementation of data analytics strategy for a client organisation, and provide team leadership as well as guidance and coaching to a Data & AI delivery squad.
• Client-facing interaction including providing analyses, recommendations, presentations and advice to clients.
• Lead interdisciplinary teams that combine technical, business and data science competencies to deliver work in both waterfall or agile software development lifecycle methodologies.
• Oversee team management including budgets, forecasting, work allocations and staffing.
• Demonstrate an acute ability in project risks and issue management, and provide guidance on key project and design decisions in project steering committee meetings.
• Build a team of high performing, motivated and committed data analytics professionals as part of practice-building and centre management leadership role.

Requirement:

• Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the engineering, computer science, statistics or analytics
• More than 10 years of experience leading an Analytics consulting team OR experience with leading one or more MNCs through the journey to becoming a data-driven organization. OR
• More than 10 years of experience implementing a broad range of Analytics/Business Intelligence projects such as: Data Governance and Management, visualizing KPIs on business dashboards, applying advanced analytics/data science techniques to realize business values
• The right candidate will need to have hands-on experience with one or more of the following Analytics technology stacks as well as familiarity with a broad range of solutions for visualization, advanced analytics, data ingestion/transformation, storage and hosting and willingness to learn new ones on the job.
• Data Management & Storage: Talend, Denodo, Alation, Oracle Data Warehousing, IBM InfoSphere, Microsoft SQL Server, Hortonworks Data Platform, Cloudera, MinIO
• Data Visualisation: Qlik, Neo4j, Tableau, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
• Statistical/Data Science Tools: H2O.ai, Dataiku, SPSS, R, Python, Jupyter
• Project management certifications such as PMP, Agile, ITIL.
• Proven track record in program management around integration, scope, cost, time, resource, quality, risk, procurement, communication and stakeholder management.

Join Our Team at Thatz International Pte Ltd

Are you ready to embrace the new opportunities in the ever-evolving landscape of technology? At Thatz International Pte Ltd, we are committed to identifying exceptional talents to drive the growth of our Next-Generation ICT Engagement and Consultancy (Thatz2.0) or Outsourcing business in the new norm. If you're passionate about leveraging technology to make a difference, we want to hear from you!

With a track record of success since 1998, we prioritize Quality, Speed, and Technology to ensure the perfect match between candidate and job opening.

Our CORE VALUES:

· Integrity

· System

· Consistency

· Forward Looking

· Humanity, and

· Environmental Friendly

L1 Data Center Engineer

Job Title: L1 Data Center Engineer

Work Location: Downtown Core, Singapore

Job Type: 1 year contract, subject to renewal

About the Role:

The Data Center Engineer will oversee the optimal performance and maintenance of Data Center and ELV operations, including network cabling, IT hardware installation, and environmental monitoring. Your role includes managing Data Center infrastructure, responding to incidents, and ensuring compliance with service standards and agreements.

Primary Responsibilities:

· Perform facilities management related tasks in relation to the Data Center and/or Extra-Low Voltage (“ELV”) operations, including but not limited to structured network cabling, cable tracing, patching of cable and rack management, infrastructure and Data Center capacity planning.

· Responsible for the design and installation of structured network cabling, cable tracing, patching of cables and rack management in respect of infrastructure cabling used by the surveillance network.

· Responsible for the installation, removal, testing and labeling of all cross-connect cables (for e.g., cat6 cables, coax cables and fiber cables etc.).

· Responsible for the installation, re-location and removal of cabinets, racks, devices and other IT equipment inside the Data Center and ELV rooms.

· Responsible for the installation of IT hardware, including network switches, servers, shelves, intelligent Power Distribution Units (“iPDU”), rails, cable management and other IT equipment in the Data Center and ELV rooms.

· Maintain the cleanliness of the Data Center and ELV rooms.

· Liaise with the Facilities, Security and Surveillance teams to ensure optimal operation of electricity, heating, ventilating, air-conditioning and monitoring environments within the Data Center and ELV rooms.

· Responsible for the configuration and management of Data Center equipment, including IP Kernel based Virtual Machine, iPDU and Data Center Infrastructure Management (“DCIM”) software.

· Maintain and update DCIM software to the latest version.

· Monitor and manage the physical health of the network and server environments.

· Follow established processes used by the Data Center operations (“DCO”) team, participate in regular process review and maintain service standards as defined in the relevant Operational Level Agreements/ Service Level Agreements.

· Respond to priority 1, 2 and 3 incidents following the standard incident response procedures and assist with the resolution of such incidents.

· Manage and handle ticket management and queue monitoring (i.e. incident, service and change requests) for network and systems queues.

· Providing project support, including but not limited to updating timesheets, and updating and maintaining DCO team documentation.

· Any other ancillary tasks or works as and when requested and assigned by the Company.

Job Requirements:

· Diploma or Bachelor’s degree in Computer Science, Information Technology, or related field.

· Minimum of 3 years’ hands-on experience in providing Data Center support.

· Minimum of 1 years’ experience in providing Windows and Unix support.

· Ability to work independently with minimal supervision.

· Able to communicate messages clearly and concisely.

· Ability to maintain high-quality performance and constantly deliver results in a timely manner.

· Required to undergo Casino Regulatory Authority (CRA) checks.

How to Apply:

Ready to join Thatz? Send your resume to [email protected].

Shortlisted candidates will be contacted.

Equal Opportunity Employer:

We are committed to fair employment practices and consider all applications based on merit. We encourage diversity and do not discriminate based on race, religion, gender, or any other characteristic.

Data Protection:

Your privacy matters to us. By applying to this job advertisement, you consent to the collection, usage, and/or disclosure of your personal data in compliance with the Personal Data Protection Act.

Our Associate Recruitment Company:

Established in the Year 2000, Thatz Resources Pte Ltd(Agency License No. 04S4557) has been dedicated to matching top IT talent with our clients’ needs across all levels.

Stay Connected:

Follow us on Instagram, Facebook, LinkedIn, and Telegram to stay updated on our latest offerings and industry insights. Join our online community to explore endless possibilities with us!

Instagram: https://www.instagram.com/thatz_international

Telegram: https://t.me/EmployMebyThatz

Facebook: https://www.facebook.com/profile.php?id=100091735044533

LinkedIn: https://www.linkedin.com/in/thatz-recruiter-25234548

Stay Safe and Healthy!

Take care of yourself and those around you.

• Managing end-to-end connectivity and data acquisition, including configuring data sources.
• Supporting activities across various teams to ensure equipment connectivity, following established processes and methodologies.
• Coordinating with cross-functional teams and both global and local digital teams to ensure task completion.
• Implementing components to facilitate data acquisition into data historians.
• Setting up configurations for protocol translation and aggregation to enable remote control of equipment.
• Supporting and participating in E2E testing processes to ensure connectivity.
• Defining and executing qualification tests according to validation strategies.
• Creating documentation, such as interface documentation for equipment to/from data historians and configuration proof documents as needed.

Permanent role with one of the MNC clients based in Singapore.

Product Marketing, Data Management and Project Management Experience required.

• Drive the analysis, enhancement, management, and maintenance of product data by closely collaborating with marketing, regional /digital marketing, product management, and e-commerce teams.
• Spearhead regional content enrichment initiatives with robust cross-functional support at global platforms.
• Ensure top-notch data quality and content integrity by proactively addressing gaps in our product offerings through consistent product information updates. Strategically manage and curate the regional product portfolio in partnership with key stakeholders. Serve as the pivotal contact for regional product data projects.
• Innovate and advocate for best practices in data management and control within the regional context.
• Take ownership of Regional Product Information Management (PIM) by identifying and communicating PIM system requirements to the Group marketing PIM Management to drive efficiency and effectiveness.
• Provide comprehensive training and support for PIM users throughout the region. Fulfill a crucial coordination role to streamline operations and maximize productivity within the region.

Required skills/experience:

• Required to have 4-6 years of experience, candidate needs to have experience with Product Information Management (PIM) system (e.g. experience with InRiver software).
• This incumbent would need to be strong in Excel and able to sort, integrate and enhance the sellable product information into PIM to modernize the data.
• Will be times this incumbent need to check with the Plant (factory) on the product information and submit into PIM.

Interested candidates, who wish to apply for the advertised position, please email us an updated copy of your resume.

We regret that only shortlisted candidates will be notified.

Job Code: JYK

Email ID: [email protected]

EA License No.: 01C4394

EA Registration No. R1873450

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

Our client is highly reputed bank.

Responsibilities:

· Maintain standard and ad hoc reports, templates, dashboards with insights, scorecards, and metrics that drive change in the business which are tailored in level of detail for the appropriate stakeholders.

· Gathering and analyzing data, and support projects relating to data/reporting solutions using statistical models.

· Create process models, specifications, diagrams, and charts to provide direction to developers and/or the team.

· Ensuring data quality and reliability and provide feedback to business process owners and to the IT department.

· Knowledge on use of JIRA as a tracking and ticketing tool to organize projects, epics and user stories is advantageous

Skills/Requirement:

· Bachelor’s degree in business, computer science, statistics, mathematics, or related field of study

· Minimum 1 years of relevant experience is preferred, experience with data/statistical analysis is advantageous.

· Prior experience in a similar data analytics/BI/ data science focused position

· Proficiency in the use of statistical applications/ tech tools such as PowerBI, Tableau, Excel, VBA, or similar BI tools

· Coding skills would be advantageous (SQL, Python, R)

· MS Office suite intermediate to advanced skills is advantageous

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

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R1551626 (SUJA THERESA FRANCIS)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Python and AWS Software Engineer II at JPMorgan Chase within the Corporate Investment Bank, Macro Data Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Develop business logic and data transformations in distributed frameworks to create curated datasets for specific business needs.

• Take full ownership of the software delivery lifecycle, from requirement gathering to coding, testing, deployment, support, and ongoing maintenance.

• Demonstrate self-motivation, ambition, and the ability to work independently while driving projects to successful completion.

• Exhibit intellectual curiosity and a desire to understand trends and patterns in the data you work with.

• Executes standard software solutions, design, development, and technical troubleshooting.

• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance.

• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications.

• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity.

• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development.

• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems.

• Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Bachelor's degree in Computer Science or equivalent

• Formal training or certification on software engineering concepts and 2+ years applied experience in software development, with a strong focus on data pipeline solutions

• Strong experience in Python and Spark or equivalent such as Flink or Beam

• Experience in AWS technologies, including AWS Glue, Kinesis, and Redshift - or similar from other cloud provider

• Strong problem-solving skills and a passion for innovation

• Excellent communication and collaboration skills, with the ability to work effectively with diverse teams

• Commitment to continuous learning and improvement

• Proficient in relational databases and SQL

Preferred qualifications, capabilities and skills

• Understanding of data management (e.g., permissions, recovery, security, and monitoring)

• Adapt to changing project requirements and technologies

• Experience working in the FICC technology space

• Prior experience in SecDB/Athena/Quartz

• Experience in Cloud Certifications and prior Data Engineering

• Experience working in a Markets trading environment is highly desirable especially in the areas of Currencies, Rates, Emerging Markets, Commodities and Options

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=e0980fe42653685b58453307c03a8b6c

Company Overview:

Meinhardt Digital Technology Solutions is a new business unit of Meinhardt Group, a global construction engineering consultancy with 61 offices worldwide. We are dedicated to leveraging cutting-edge technology to drive innovation in the construction engineering industry.

Position Overview:

We are seeking a Data Engineer with a strong focus on pipeline development and data engineering. In this role, you will design and implement data workflows for AI applications used within the construction engineering industry. You will be part of a dynamic team developing AI applications and data-driven solutions, collaborating closely with data engineers and software engineers, and reporting directly to the Lead Data Scientist. This is an excellent opportunity for individuals passionate about backend development and data engineering for AI.

Responsibilities:

Data Engineering

• Collect, clean, and pre-process structured and unstructured data from various sources within the construction domain
• Design and manage workflows for data ingestion pipelines across cloud and Databricks services
• Perform monitoring and debugging to implement alerts and catches for continuous ingestion requests from a frontend
• Develop innovative approaches to data ingestion and arrangement for unstructured data including images, PDFs, written reports, and other free-text elements.
• Use vector databases to store, persist, and extract embeddings from large bodies of vectors
• Perform exploratory data analysis to identify patterns, trends, and anomalies
• Architect tools and dashboards that transform NLP-related data into interpretable numerical analysis during and following ingestion
• Create clear and insightful visualizations to communicate complex findings to non-technical stakeholders

AI Model Development

• Assist in the development and implementation of Large Language Models and Natural Language Processing techniques to address construction- and asset/facilities management-related challenges
• Collaborate with senior data scientists to build RAG pipeline and fine-tuned models for products serving internal and client needs

Data Privacy and Security

• Ensure compliance with data privacy regulations and cloud security protocols to ensure domain-locked data is compliant with cross-border data flow restrictions.

What We Are Looking For

• Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field, or equivalent experience
• At least 1 year of experience in data engineering, AI model development and natural language processing
• Strong programming skills in Python
• Knowledge of data engineering and data pre-processing techniques
• Knowledge of vector stores and databases in relational and non-relational formats
• Familiarity with data engineering workflows and tools, particularly in cloud environments (Azure, Databricks)
• Ability to propose and test creative solutions to natural language processing and computer vision
• Effective communication skills to convey technical concepts to non-technical stakeholders
• Experience with SQL and NoSQL databases
• Familiarity with agile development methodologies
• Good communication and interpersonal skills

Nice to Have

• Experience with construction/infrastructure industry data and processes
• Experience using managed workflows and collaborative workspaces (Databricks)
• Experience in AI product development

Note to Potential Candidates:

We understand that no candidate will meet every single requirement listed. Studies show that minorities, including women and underrepresented groups, often hesitate to apply if they don’t meet all criteria. We want to assure you that your unique experiences and perspectives are valued here. If this role interests you, we strongly encourage you to apply. Passion and potential are key to us, and we believe diverse backgrounds strengthen our team.

• Liaise and work closely with various stakeholders in performing cost calculation and pricing on existing and new services/ projects.
• Ensure Service master is updated and accurate for system go-live.
• Prepare, formulate, and rationalise price revision proposal to ensure organisation’s financial sustainability, while taking into consideration patient bill impact.
• Work with IT vendor to maintain efficient SharePoint workflow as part of continuous process improvement, including the identification and resolution of issues.
• Monitor and report SharePoint workflow turnaround time.
• Ensure accurate and timely update of data files for internal management reporting.
• Support annual cost refresh/ updates on services.
• Provide Business partnering support to Business Units within a growing regional healthcare system.
• Any other ad-hoc duties.

For interested candidates, please send your updated resume:

Responsibilities:

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

Requirements:

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

Responsibilities:

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

Requirements:

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

Responsibilities:

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

Requirements:

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

Key Skills:

Hadoop , Data Lake, SQL , Cloudera, Informatica

Job Objectives

Manage Hadoop cluster in across all 4 environments (SIT, UAT, PROD and DR)

Key Responsibilities

Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools

Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

It will be good to have experience in working with No SQL as well as virtualized Database Environment

Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.

Flexibility to stretch and take challenges

Communication & Interpersonal skills

Attitude to learn and execute

Key Requirements

· Strong experience in developing Hadoop/Spark.

· Strong experience in data lakes (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Data Architecture (Hadoop)

· Solid understanding data modelling, indexing strategies, and query optimization

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

· Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

· Familiarity with version control systems (e.g., Git) and collaborative development workflows

· Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

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

If you are a data professional passionate about growing and empowering a team of analysts to enhance data-driven decision-making across the business, we’d like to meet you!

In this role, you will have the opportunity to make an impact solving business problems and influencing decisions on products used by millions of customers every day. Through hiring, coaching, and mentoring you will develop a team of data analysts that can independently and confidently deliver clear business value through high quality advice, analytics, and dashboards.

What you’ll be doing

As a Data Analytics Lead, your responsibilities will include:

• Managing, hiring, leading, and growing a group of 2-4 data analysts
• Identifying skill and knowledge gaps within your team and filling them through a combination of training, coaching, mentoring, and shadowing
• Building a deep understanding of the business strategy and challenges of stakeholders in your domain, and collaborating to deliver a clear data strategy
• Increasing customer satisfaction in the data-analytics services for your domain
• Prioritizing data-analytics initiatives that deliver the most business value
• Creating standards and consistency in processes, guidance, tools, quality, and outputs—both within your sub-team and beyond—by collaborating with other data-analytics leads
• Partnering with Data Engineering to improve the data quality, consistency, reliability, and documentation of data pipelines, tools, and processes
• Maintaining a strong relationship with other Data Analytics domains, ensuring we identify synergies, avoid duplicated effort, and support each other as needed
• Contribute to the planning and execution of data growth within the organization—as a group of people, as a partner to other business units, and as an enabler to support others to self-serve their data and analytics needs

What you’ll need to succeed

We seek candidates with most, or at least some, of the following skills and experience:

• Leading a team of at least two people overseeing performance reviews, 1:1s, mentoring, career plans, etc.
• Delivering business value: Combining your big-picture vision, solid business acumen, and clear prioritization alongside sound analytical skills
• Relationships and influencing others: Able to make connections and build effective relationships at a strategic level with key stakeholders and data engineering partners within the data organization
• Requirements gathering: You lead by example in truly understanding stakeholders’ strategy and challenges to collaborate and define the insights they need (vs want)
• Data analysis: You consistently deliver high quality analytics that build and tell a story, leading to actionable recommendations for the business
• Tools & platforms: You’ve worked with a range of analysis tools such as Tableau, Snowflake, MixPanel, Google Analytics with up to date knowledge of potential new ones to explore
• Defining processes and standards: For your team to drive consistency and quality
• Excellent communication skills: You are able to engage people across the company at all levels.
• Building a culture of collaboration: Where your team supports each other to grow through mutual mentorship

3 best things about this role

1. Data driven culture: Lead a Data Analytics team at a company where everyone is hungry for data! You won’t need to knock on people’s doors persuading them to look at data, everyone is asking for it!
2. Empowerment and authority: Your objective is to help impact the priorities for your business domain. Beyond that, while we’ll have some guardrails in place, you’ll still have the autonomy to determine how you approach and solve problems.
3. Generating meaningful impact: Use your management and data skills to protect security, privacy and online freedoms. Do so at a massive scale for millions of active paying customers worldwide.

Reporting: CEO

Job Responsibilities:

• Designing and planning of data centres including network architecure, server, storage and security
• Provide advice on the selection of infrastructure equipment to meet project needs and budget constraints
• Manage some aspects of data centre blueprints and designs
• Manage some implementations of electrical and civil engineering aspects of a data centre
• Constant collaboratin with vendor and contractors for project management
• Develop standard practices and processes for daily operations for data centres

Qualifications

• Bachelors degree in Computer Science or Information Technology or related field
• At least 10 years of experience managing and bulding data centre operations
• Strong in networking, servers, storage and security technologies
• Expertise in project management with the ability to manage between internal teams
• Very good communication and negotiation skills

If you feel you are a good fit for the role or know someone who does, feel free to send the updated resume to [email protected] for a private and confidential discussion. Thank you!

EA Reg Number: R22107188

EA License Number: 07C3924

Company Registration No: 200609504D