Data Entry Clerk

Basic Salary - $1800 to $2100
Working Days - Mon to Fri + alt sat (8.30am to 5.30pm/8.30am to 12.30pm)
Working Location - Penjuru rd (moving to Senoko in 2025)
transport pickup at Yishun, Sembawang and Marsiling

Jobscopes:

• Order processing - to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Any other ad-hoc duties

The Supreme HR Advisory Pte Ltd || 14C7279

R22111009 Cheng Kai Ling

Data Entry Clerk

Salary: $1800 to $2100

Working Days: Mon to Fri + Alt Sat (8.30am to 5.30pm/8.30am to 12.30pm)

Working Location: Penjuru Rd (Moving to Senoko in 2025)

Transport pickup at Yishun, Sembawang and Marsiling

Jobscopes:

• Order processing - to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Any other ad-hoc duties

Email: [email protected]

Tan Yong Zhi (Jackson) | Reg: R24124461

The Supreme HR Advisory Pte. Ltd | EA No: 14C7279

Position: Data Engineer

Location : Cental, Singapore

Duration: 12 months (renewable)

Job Summary:

As an augmented resource in the Enterprise Knowledge Department, you play an important role in transforming how MAS works with structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs.

Key Responsibilities

• Analyse 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.

Requirements:

Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

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.

Position: Data Engineer

Location : Cental, Singapore

Duration: 12 months (renewable)

Job Summary:

As an augmented resource in the Enterprise Knowledge Department, you play an important role in transforming how MAS works with structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs.

Key Responsibilities

• Analyse 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.

Requirements:

Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

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.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and Python.
• Collaborate with data scientists, analysts, and other engineers to ensure efficient data flow and processing.
• Manage and optimize data workflows in AWS cloud environments.
• Ensure data quality through data cleansing, validation, and monitoring.
• Automate and optimize existing data pipelines to improve performance and reduce manual intervention.
• Work closely with stakeholders to understand business requirements and translate them into technical solutions.
• Troubleshoot and resolve issues related to data processing and workflow execution.

Requirements:

• 3-5+ years of hands-on experience with Databricks and Python in a production environment.
• Proven experience with AWS cloud services for data engineering workflows (e.g., S3, Lambda, Glue, Redshift).
• Strong knowledge of SQL and experience with relational databases.
• Solid understanding of data processing and transformation techniques.
• Familiarity with data architecture principles, ETL processes, and big data technologies.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Experience with data visualization tools like Power BI or Tableau.
• Knowledge of Spark, Airflow, and other data orchestration tools is an advantage
• Strong understanding of DevOps practices for data engineering (CI/CD pipelines, version control, etc.).

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and Python.
• Collaborate with data scientists, analysts, and other engineers to ensure efficient data flow and processing.
• Manage and optimize data workflows in AWS cloud environments.
• Ensure data quality through data cleansing, validation, and monitoring.
• Automate and optimize existing data pipelines to improve performance and reduce manual intervention.
• Work closely with stakeholders to understand business requirements and translate them into technical solutions.
• Troubleshoot and resolve issues related to data processing and workflow execution.

Requirements:

• 3-5+ years of hands-on experience with Databricks and Python in a production environment.
• Proven experience with AWS cloud services for data engineering workflows (e.g., S3, Lambda, Glue, Redshift).
• Strong knowledge of SQL and experience with relational databases.
• Solid understanding of data processing and transformation techniques.
• Familiarity with data architecture principles, ETL processes, and big data technologies.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Experience with data visualization tools like Power BI or Tableau.
• Knowledge of Spark, Airflow, and other data orchestration tools is an advantage
• Strong understanding of DevOps practices for data engineering (CI/CD pipelines, version control, etc.).

Data Engineer (Databricks, Python and AWS)

Skills / Experience Requirements

(Must have & good to have)

More than 3 to 5 years of experience in Databricks, Python.

Need to have Python and Databricks skills. Working exp on AWS cloud is preferrable,

Databricks, Python and AWS

Skills / Experience Requirements

(Must have & good to have)

More than 3 to 5 years of experience in Databricks, Python.

Need to have Python and Databricks skills. Working exp on AWS cloud is preferrable,

Databricks, Python and AWS

Our Client:

• Electrical Equipment Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Proposal Engineer

(Industrial, Commercial or Data-Centre Projects)

• Working day: Monday - Friday (8am - 5.45pm)
• Salary: S$ 3,000 - 6,000
• Office Location: Woodlands

Duties & Responsibilities:

Cost Estimation:
Prepare detailed cost estimates for MEP (Mechanical, Electrical, Plumbing) projects;
Analyze and evaluate project specifications and drawings to determine the scope of work and associated costs;

Quantity Take-off
Perform quantity take-offs for materials and labour required for MEP installations;
Collaborate with project teams to ensure accurate and comprehensive quantity assessments;

Budgeting and Cost-control
Develop and manage project budgets, ensuring cost control throughout the project lifecycle;
Monitor and report on cost variations, providing recommendations for cost-saving measures;

Tendering and Procurement
Assist in the preparation of tender documents and participate in the procurement process;
Evaluate subcontractor and supplier bids, ensuring competitiveness and adherence to project requirements;

Contract Administration
Administer and manage contracts related to MEP works, including variations and claims;
Monitor contractual compliance and resolve any disputes that may arise during the project;

Value Engineering
Identify opportunities for value engineering to optimize project costs without compromising quality;
Work closely with design and construction teams to implement value engineering recommendations;

Risk Management
Identify and assess potential risks related to cost and contract issues;
Develop strategies to mitigate risks and ensure project success;

Cost Reporting
Generate regular cost reports to keep stakeholders informed of project financial status;
Provide analysis and recommendations based on cost reporting data;

Collaboration

Collaborate with architects, engineers, contractors, and other project stakeholders;
Participate in project meetings and contribute to the overall success of the project;

Regulatory Compliance
Ensure compliance with relevant regulations and standards in MEP construction;
Stay updated on industry trends, codes, and best practices;

Ad-Hoc
Undertake cost analysis for repair and maintenance project work;
Other Ad-hoc duties as assigned by the HOD.

Qualifications & Experience:

• Degree / Diploma in Quantity Surveying / Engineering or equivalent from a recognized University.
• Minimum 5 years of related working experiences in Industrial, Commercial or Data-Centre Projects.
• Good working knowledge in Mechanical and Electrical.

Apply now for Interview arrangement

Daniel Wong | Senior Consultant | Reg No: R2095781

The Supreme HR Advisory Pte Ltd | EA No: 14C7279

The Opportunity

• Adecco is partnering our client, one of the biggest Tech MNCs
• We are looking for a System and Data Project Management Specialist
• The role will start out as a contract
• Candidates who are immediately available/ able to start work within short notice will be preferred

The Talent

• Bachelor's Degree preferably Engineering, Business Administration, Information Systems/Technology or related field
• Macro or Visual Basic skill
• 1-3 years of experience in Project/Data Management, and System development related
• Project management experience - relevant certificate is a plus (eg. PMP/CAPM)
• Proficient in Microsoft Office Suite, especially Excel
• Hands-on experience with system implementations
• Strong data analytic skills with large data systems

Job Description

• Lead System Enhancement Projects, collaborate with IT teams and stakeholders to define requirements and drive the implementation.
• Monitor project progress, identify risks, and take corrective actions on necessary
• Ensure timely delivery of project milestones and adhere to quality standards
• Identifying and resolving project risks and issues
• Implementing project management best practices and methodologies
• Provide regular updates on project progress and address any issues or risks identified
• Conduct data analysis and generate KPI reports to provide insights
• Prepare, monitor and analyze KPI to identify areas for improvement
• Collaborate with cross-functional teams to align KPI activities with business goals
• Support the implementation of new technologies and systems

Next Step

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
• Send your resume to [email protected]
• All shortlisted candidates will be contacted

Liu XinYang

EA Licence Number: 91C2918

Personnel Registration Number: R1988872

• Basic Salary - $1800 to $2100
• Working Days - Mon to Fri + alt sat (8.30am to 5.30pm / 8.30am to 12.30pm)
• Working Location - Penjuru rd (moving to Senoko in 2025)
• transport pickup at Yishun, Sembawang and Marsiling

Jobscopes:

• Order processing - to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Any other ad-hoc duties

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

We are seeking a highly motivated Research Officer to join our Data Management Platform. This is a functional role that combines data archival and data cleaning for major population health studies conducted at the institute.

Job Description:

• Implementation of inventory management and tracking system for offsite archival of study source documents.
• Perform data reconciliations and digitalization of study source documents in hardcopy formats.
• Develop and implement data cleaning scripts to ensure good data quality.
• Generate inventory dashboards to effectively communicate the data archival and data cleaning status.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science or related field.
• Good programming skills (Python, R).
• Familiar with Business Intelligence (BI) reporting tools such as Power BI.
• Knowledge/experience on Good Clinical Practice (GCP) and Good Clinical Data Management Practices (GCDMP) guidelines.
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience.