• we are looking for part time data entry personel
• work 3 to 4 days per week
• 8am to 5pm
• location: east region
• no min qualification required.
• students are welcome to join

• Proficient in Microsoft Office, knowing how to use Microsoft Excel to tabulate data for data analysis, reporting, Powerpoint to compile and generate slides for presentation.
• Able to multitask without compromising of work quality ie. Multiple onboarding / offboarding on the same day.
• Preferably having experience working in Financial Industry, with prior knowledge of how Financial Institution works.
• Technical documentation writing experience
• IT Incident and problem management and reporting.
• Experience in manging budget, Supplier contract, memo and invoices
• Some knowledge in HR related matters such as using of workday, getting the required information of new hires prior to onboarding and offboarding within SR to ensure a smooth experience.
• Able to multitask without compromising of work quality ie. Multiple onboarding / offboarding on the same day.
• L1 support experience for semi technical resource is advantage

Experience :

1-3 years of Data entry experience in Singapore

Responsibilites :

To handle daily processing / data input of customer requests on timely and accurate basis.

• Process and perform data entry into the UAT system.
• Perform manual data entry into the live application system promptly and accurately for data not migrated.
• Execute ad-hoc assignments as directed by the Project team and Managers.
• Provide feedback on process-related issues and suggest improvements to the Project team.
• Perform administrative duties as required.
• Support functions such as compiling statistics and extracting reports.
• Provide guidance and training to new “Data Entry” team members joining the project.
• Aim for zero human error and minimize operating losses in handling defects.
• Prior experience in data entry and validation experience is advantage.

Work location : Tampines / Raffles place

A. Job Purpose

To manage processing and data input for an application development project.

B. Core Functions & Responsibilities

• Process and perform data entry into the UAT system.
• Perform manual data entry into the live application system promptly and accurately for data not migrate

C. Other Duties & Responsibilities

• Execute ad-hoc assignments as directed by the Project team and Managers.
• Provide feedback on process-related issues and suggest improvements to the Project team.
• Perform administrative duties as required.
• Support functions such as compiling statistics and extracting reports.
• Provide guidance and training to new “Data Entry” team members joining the project.
• Aim for zero human error and minimize operating losses in handling defects.
• Prior experience in data entry and validation in banking projects for modernizing legacy systems/applications to new systems/applications is advantageous for this role.

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: Supply Chain
• Position Title: Data Entry Specialist
• Working Location: Tampines
• Working Hours: 5 days, Monday – Friday (8 am - 5 pm)
• Salary Package: Basic Salary
• Duration: 3-Months Contract

Key Responsibilities

• Verify and check 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 using the SAP system is 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. Kindly 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

• Position : Admin Assistant [Data Entry/Inventory/Simple Duties]
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job Description

• Industry/ Organization Type: Supply Chain
• Position Title: Data Entry Specialist
• Working Location: Tampines
• Working Hours: 5 days, Monday – Friday (8 am - 5 pm)
• Salary Package: Basic Salary
• Duration: 3-Months Contract

Key Responsibilities

• Verify and check 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 using the SAP system is 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. Kindly 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

Job Description:

· Perform administrative support in the office

· Preparing of tax invoices, delivery orders and other documentation work

· Planning and arrangement for logistics movement

· Control of inventory and stock taking

· Other duties as assigned

Requirements:

· Possess at least A Levels or Diploma in any field

· Able to commit for at least 3 months

· Able to commence work immediately or in short notice

· No experience needed, full training will be provided.

· Keen interest in the healthcare/ medical industry

Interested candidates please send a copy of your resume to [email protected]

Email Subject: Admin Assistant

Leon Leong De Cong
R1551708

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

Responsibilities

· Provide administrative support to the Department.

· Coordinate department and project activities, and prepare documents required

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

· Proper documentation of records

· Management of department’s inventory and equipment

Requirements

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

· Good organisational and administrative skills

· Good interpersonal, verbal and written communication skills

· Proficient in Microsoft Outlook, Word and Excel

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

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

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Responsibilities

· Provide administrative support to the Department.

· Coordinate department and project activities, and prepare documents required

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

· Proper documentation of records

· Management of department’s inventory and equipment

Requirements

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

· Good organisational and administrative skills

· Good interpersonal, verbal and written communication skills

· Proficient in Microsoft Outlook, Word and Excel

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

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

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Responsibilities

· Provide administrative support to the Department.

· Coordinate department and project activities, and prepare documents required

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

· Proper documentation of records

· Management of department’s inventory and equipment

Requirements

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

· Good organisational and administrative skills

· Good interpersonal, verbal and written communication skills

· Proficient in Microsoft Outlook, Word and Excel

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

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

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

• Position : Admin Assistant [Data Entry/Inventory] - Sin Ming Lane
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

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

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

Key Responsibilities:

• Data Analysis: Collect, process, and analyze large datasets to uncover trends, patterns, and insights
• Reporting and Visualization: Create engaging dashboards and reports using tools like Power BI, Tableau, or Excel to support key business decisions
• Collaborative Problem-Solving: Work closely with cross-functional teams to identify challenges and present data-driven solutions
• Predictive Modelling: Apply statistical models and machine learning techniques to forecast trends and behaviors
• Data Quality Assurance: Ensure accuracy, consistency, and reliability of data through effective validation processes
• Business Insights Delivery: Translate complex data into simple, actionable recommendations for stakeholders
• Technology Adoption: Stay updated on the latest data analysis tools and methodologies to enhance our processes
• Innovation and Growth: Contribute fresh ideas to improve data systems and processes, fostering a culture of continuous improvement
• Stakeholder Engagement: Present findings and insights to internal and external stakeholders effectively
• Professional Development: Participate in training and mentorship programs to advance your technical and analytical skills

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with a keen attention to detail
• Excellent communication skills to convey complex information effectively

EA Reg. Number: R21100629

EA License Number: 22C1278

Roles:

Keying of customer's data into the Studio Manager system.

Training will be provided if you are unsure of the system.

Familiar with Studio Manager system is a plus.

Requirements:

Able to commit at least 6 months.

Able to read and speak English.

Able to type fast and correctly.

Monday to Friday - 10am - 7pm with 1 hour lunch break.

Working location - Orchard or Tanjong Pagar area.

Females and Singaporean only.

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories
• Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures
• Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis
• Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations
• Design and create reports, dashboards, and data visualizations using data visualization tools
• Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams
• Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility
• Implement data validation and verification procedures to ensure accuracy
• Ensure compliance with data protection regulations and company policies

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Responsibilities

Support Data Management operation activities for the Enterprise Data Warehouse

Skills Required

• Experience in data analysis
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting)
• Handle data issue management.
• Proficient in Oracle PL/SQL
• Experience in Tableau, Snowflake, Denodo
• Experience in performing UAT
• Manage SLA and queries from end users
• Provide documentation support in technical/functional specifications
• Good to have investment domain knowledge
• Good problem solving and logical thinking

Job Requirements / Skills / Responsibilities:

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

· Familiarity with Denodo

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.

Summary:

We are seeking a highly skilled and experienced Data Engineer to design, develop, and deploy big data solutions. The ideal candidate will have strong expertise in designing and architecting large-scale data platforms using advanced technologies such as Cloudera, Azure Cloud, and Kubernetes, among others.

Key Responsibilities:

• Responsible for the design, architecture, and implementation of end-to-end Big Data solutions.
• Apply data mining and data modeling to build data analytic solution based on project requirements. Collaborate with data science and engineering teams to optimize the deployment of data models and machine learning pipelines.
• Design and architect scalable solutions using technologies like Cloudera Machine Learning, Elasticsearch, and AML applications. Actively involve in the integration of Cloudera CDH/CDP platforms for data management and analytics.
• Ensure high availability and disaster recovery of big data platforms using technologies like Kubernetes, VMWare, and Azure Cloud.
• Automate infrastructure and deployment processes using Chef and Shell scripting.
• Implement monitoring and observability solutions using Prometheus, Grafana, and other monitoring tools.
• Manage security frameworks for big data environments using CyberArk and Trend Micro.
• Perform infrastructure troubleshooting and manage incident resolution using Remedy.
• Optimize database performance and management using PostgreSQL.
• Collaborate with cross-functional teams to ensure secure, reliable, and scalable infrastructure on HPE servers.

Required Skills & Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

Experience:

• At least 5 years of experience in Big Data architecture and infrastructure.

Technical Expertise:

a) Cloudera CDH/CDP platforms and Cloudera Machine Learning.

b) Azure Cloud architecture and deployment.

c) Experience with Kubernetes, VMWare, RHEL, and container orchestration.

d) Monitoring tools: Prometheus, Grafana.

e) Security tools: Trend Micro, CyberArk.

f) Scripting: Shell scripting and automation with Chef.

g) Strong experience with Tableau and SAS for data visualization and analytics.

h) AML application expertise and experience with Elasticsearch.

i) Database expertise in PostgreSQL.

j) Strong experience in infrastructure management with HPE servers.

k) Proven experience in working with cloud and on-premise environments.

Preferred Skills:

a) Experience with disaster recovery, high availability, and security compliance.

b) Experience with DevOps practices and continuous integration (CI) pipelines.

c) Experience managing large-scale environments and multi-tier architectures.

Soft Skills:

a) Strong problem-solving and critical-thinking skills.

b) Excellent communication and leadership abilities.

c) Ability to work collaboratively in a fast-paced, dynamic environment.

d) Strong organizational and multitasking skills.

• Employ statistical modeling and machine learning to diagnose customer issues, pinpoint root causes, and provide actionable solutions.
• Partner with field engineers to analyze plasma etching system data, delivering timely, accurate, and insightful reports to drive improvement.
• Clearly communicate complex data analysis findings to both customers and internal teams, presenting results in a concise and understandable manner.
• Develop sophisticated statistical and machine learning algorithms to extract valuable insights from large, complex datasets, and collaborate with engineering teams to assess their effectiveness.
• Share best practices and contribute to cross-functional data science initiatives with global data engineering teams.
• Oversee and maintain internal analytics solutions, ensuring data integrity, accuracy, and continuous improvement.
• Develop and conduct training sessions on data analytics tools like JMP and KNIME to empower local engineers.
• Undertake other assigned tasks as needed.

Requirements:

• Holds a degree or master's degree in Microelectronics, Data Science, or a relevant field.
• Possesses a minimum of 3 years of experience in semiconductor manufacturing equipment, semiconductor fabrication, semiconductor parts/peripherals, or a related industry.
• Proven track record as a Data Scientist in the semiconductor industry, specializing in plasma dry Etch processes.
• Skilled in developing and implementing algorithms to optimize processes and solve problems.
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modeling.
• Proficient in using various data science tools and programming languages (Python, JSL, R, etc.) for data manipulation, visualization, and analysis.
• Excellent communication skills and ability to work effectively in a team environment, building strong relationships with customers.
• Meticulous, organized, resourceful, highly motivated, and capable of independent work.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24993

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the 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 GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

About the Role

We are looking for a Data Engineer to join the Data and Artificial Intelligence Platforms (DAIP) team.

Key Responsibilities

• Build and manage data pipelines to collect, clean, and harmonize data.
• Monitor databases and ETL systems, ensuring performance, capacity, and uptime.
• Create reusable data models based on end-user needs.
• Design secure data access mechanisms and implement data quality checks.
• Maintain data catalogs, enforce governance policies, and improve infrastructure.
• Research and adopt new technologies to enhance data systems.
• Protect sensitive data through security best practices.

Senior engineers will additionally:

• Establish best practices and mentor team members.
• Assist with recruitment.

Expectations

Beyond coding, you'll determine what to build and how, leveraging cloud services, open-source tools, and community solutions to maximize value and minimize redundant effort.

Working Here

• Impactful Work: Develop products that solve real societal challenges in areas like healthcare, transportation, and education.
• Rapid Prototyping: Test ideas quickly to identify opportunities and problems.
• Ownership: Take responsibility for seeing your ideas through.
• Continuous Learning: Embrace learning new technologies and frameworks as part of the job.

Skills & Requirements

• Proficiency in Python, JavaScript, or Scala, with a passion for software engineering.
• Experience writing efficient, reliable, and maintainable code.
• Exposure to cloud or on-prem environments; experience with DevOps/CI/CD is a plus.
• Interest in data science, machine learning, and working for public good.

Our Client:

• Engineering 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

Our Client:

• Engineering 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

Our Client:

• Engineering 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