Job Description

- Preparation of documents (e.g. order processing, verifying payment, delivery orders).
- Liaise with various stakeholders to ensure smooth delivery.
- Data entry and maintenance of database.
- Maintain and update sales records and ensure files are backed up.
- Assist in new IMS (Inventory Management System) Implementation.
- Provide administrative support to sales team.
- Assist in monthly sales closing.

Job Requirement

- Good interpersonal skills
- Proficient in MS Office Suite
- Experience in data entry is preferred

Interested applicants pls send in a copy of your resume with your current, expected salaries and availability in Microsoft Word format to Low See Wei (R1551122) for immediate processing.

Kindly indicate in your email subject title as "Job Application for 19359 Sales Admin Assistant (Temporary 6 month, Sale Coordinator, Data Entry) SW228"

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities

Thank you.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Please find Privacy Policy Agreement from the below link.

http://www.pasona.com.sg/privacy.html

Salary: up to $3700

Duration: 8 months

Working Days & Hours: Mon-Fri Office Hours

Location: Bugis

Job Description:

• Define principles and implement logic for computation of variable cost components at geographical, trade level, in order to derive a standard cost box rate by equipment size type for every port-pair combination
• Continual enhancement of costings logics in order to adapt to the changing market landscape and to drive optimal pricing and cargo selection decisions
• Perform regular analysis to identify and report any variances between the calculated costs and actual shipping operations costs
• Perform periodic assessment and analysis of equipment situation at each location to determine the equipment balance assumption and repositioning costs applied in system.
• Collaboration with multiple stakeholders from regional offices, local agents, procurement, finance, trades, etc to provide accurate cost information in system
• Provide business requirements to Information System Department for any analysis of backend data and development of system enhancement to improve costing accuracy

Job Requirements: Min Degree in Maritime / Data Science / Statistics or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Data Engineer ( Informatica and Azure Data Factory)

Job Requirement:

• Data Engineers with experience in Informatica, Azure Data Factory or Databricks, or Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
• Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud.
• Build and manage ETL and ETL data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
• Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
• Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

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 #68538 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

Job Title

Quantexa Data engineer

Occupation

Data engineer

Job Description & Requirements

About the Client:

Our client is a leading Information Technology (IT), consulting, and business process services company.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirement:

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

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

We regret that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R24125310 (PARAMATASEEMA NAVEEN RAJANNA)

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 local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries

Admin Executive

Working Hour : 5 days 9am-6pm

Salary : $3000-$3200

Office : Macpherson

Responsibilities
Processing invoices, delivery orders and other documents part of the sales process.
Processing payment for bills and expenses
Secretarial and admin support to director
Liaise with suppliers for deliveries
Data entry, paper work, scanning, photocopying and filing of documents
Provide administrative support
Perform ad- hoc duties assigned

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

The successful candidate will play a pivotal role in designing and implementing solutions for automating data services processes. This position requires strong technical expertise, analytical problem-solving skills, and effective collaboration within a team-oriented environment.

Key Responsibilities:

• Develop, deploy, and maintain automation solutions for data services.
• Write efficient and maintainable code using Python, SQL, and PL/SQL.
• Leverage CI/CD pipelines to enhance deployment and automation processes.
• Work with data warehouses such as Snowflake and Oracle to optimize data workflows.
• Collaborate with cross-functional teams to analyze requirements and deliver effective solutions.
• Troubleshoot and resolve issues in automation systems and data pipelines.
• Contribute to the continuous improvement of existing processes and technologies.

Mandatory Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficient in Python, SQL, and PL/SQL.
• Experience with CI/CD pipelines for automation and deployment.
• Familiarity with data warehouses like Snowflake and Oracle.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience in data engineering or data services roles.
• Familiarity with cloud platforms and big data technologies.

EA License Number : 11C4879

Overview:

As a Power BI reporting Lead (Sr Cons, Data Engineering), you will spearhead our efforts to transform and elevate our data visualization and reporting capabilities. Your expertise in Power BI, coupled with your experience in report migration, will be instrumental in guiding our organization through the transition from various platforms to Power BI. You will lead a team dedicated to creating insightful, dynamic reports and dashboards that empower decision-makers with real-time data.

Key Responsibilities:

• Design, develop, and maintain advanced Power BI reports and dashboards.
• Lead the migration of reports from other BI tools (such as Tableau, Qlik, Excel, etc.) to Power BI, ensuring accuracy, efficiency, and minimal disruption to business operations.
• Work closely with business stakeholders to understand their data visualization needs and translate business requirements into technical specifications.
• Establish and enforce best practices for Power BI report development, including data modeling, data blending, and visualizations.
• Provide technical leadership and guidance to the Power BI team, including training and mentorship.
• Collaborate with IT and data management teams to ensure seamless data integration and compliance with data governance standards.
• Stay abreast of the latest Power BI features and updates, evaluating and implementing them to enhance our reporting capabilities.
• Manage the Power BI service, including workspace administration, report publishing, and user access management.
• Conduct performance tuning and optimization of Power BI reports to ensure fast load times and a smooth user experience.
• Document all report migration processes and develop guidelines for future migrations.

Required Skills and Qualifications:

• Bachelor’s degree in computer science, Information Technology, Data Analytics, or a related field.
• Minimum of 8 years of experience in data analysis and report development, with at least 5 years focused on Power BI.
• Proven experience in migrating reports from other BI platforms to Power BI, including knowledge of different migration tools and techniques.
• Strong understanding of data modeling, SQL, and DAX.
• Excellent analytical and problem-solving skills, with the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Demonstrated ability to lead and mentor a team of analysts or developers.
• Excellent communication and interpersonal skills, with the ability to interact effectively with all levels of the organization.
• Experience with data governance and compliance requirements.
• Familiarity with Power BI administration and workspace management.

Preferred Skills and Qualifications:

• Certification in Power BI or other relevant BI tools.
• Experience with cloud data platforms (e.g., Azure, AWS, Google Cloud).
• Knowledge of Python or R for data analysis and visualization.

Job Description:

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.
• Skills:Data analytics, Quantexa,Spark,Scala,Elastic search,AWS,Azure,GCP, Analytics.

Requirements:

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

We are looking for an experienced Data Scientist to join our team and help us grow our international advertising business, international expansion is critical to Pinterest success. As a key member of our team, you will be responsible for developing and implementing innovative and effective data-driven strategies that can significantly enhance decision-making. Accuracy, a keen eye for detail, and a hands-on approach are essential qualities that we are looking for in this role. This role collaborates with Product Managers and Engineering to find the best ways to grow this critical advertising group.

What you’ll do

• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric
• Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses.
• Leadership and Partnership: Lead the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Partner with cross-functional teams to ensure they are held to rigorous data standards and are using data to aid each decision being made.

What we’re looking for:

• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Proficiency in SQL/Hive/Python
• Strong proficiency in both English and Mandarin for effective communication with internal teams and external partners.

The best candidates will also have:

• Strong sense of ownership, willingness to dive in and do work, even if it's not the most glamorous, to get the job done. Can work with dirty data sets, do manual labeling, and improvise as needed to work around problems. Works quickly and efficiently, doesn't think any work is below them.
• Impact-driven mindset. Proven track record of making things happen.
• Technical proficiency. Can write efficient SQL queries for many-to-many datasets without erroneous duplication; familiar with left outer join and why it would be useful. Able to write basic code but needn't write elegant solutions to the sorts of algorithm questions often found in coding interviews.
• Strong business / product sense. Ability to ask the right questions (why the work is important, what decisions will help inform it, what an 80% solution will look like). Can explain why past work done was important and justify decisions made. Wants work to be practically applicable and have product impact in the short- to medium-term (< 6 month).
• Data skepticism and curiosity. Doesn't think data or a model can solve every problem; digs into anomalies and wants to understand them. Identifies issues in datasets.
• Strong communication skills. Explains work and thought processes clearly and concisely.
• Desire for simplicity. Don't strive for perfection when a simple solution will do the job. Recognizes that linear models and plain old counting can be very powerful.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• As such, this role will need to be in the office or in front of our customers for in-person collaboration, typically 2 days per week, and therefore needs to be in a commutable distance to our Singapore City based office.

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Business Understanding At least (3) years of relevant experience in:
- Business Requirement Analysis
- Business Process and System Understanding
- Effective Communication with both business and technical users
Azure Data Engineering At least (2) years of hands-on experience as Azure Data Engineer using:
- Azure Data Factory
- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
Data Ingestion & Modelling At least (3) years of hands-on experience in
- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
- Implementing Data Quality validation
- Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience
Others Conversant in Microsoft Office products

The Data Analytics Lead will spearhead the analytics team, ensuring that data-driven insights are effectively used to shape company strategy and drive business outcomes. This role requires a deep understanding of data modeling, reporting, and analytics tools to enhance decision-making across various departments. The ideal candidate will have a proven ability to work cross-functionally and deliver high-quality analytics projects.

Key Responsibilities:

• Lead and manage the data analytics team to deliver actionable insights that support business decisions and improve company performance.
• Develop and implement analytics strategies and frameworks to solve complex business problems.
• Oversee the design, development, and maintenance of data pipelines, dashboards, and reporting systems.
• Collaborate with cross-functional teams (e.g., Product, Marketing, Finance) to identify data needs and translate business requirements into technical specifications.
• Ensure data integrity and consistency by defining best practices for data collection, storage, and analysis.
• Mentor and provide technical guidance to junior team members to enhance their analytical and technical skills.
• Present findings to senior management, providing strategic recommendations based on data insights.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics to continuously improve the team’s capabilities.

Qualifications:

• Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data analytics, with a minimum of 2 years in a leadership role.
• Strong expertise in data analytics and visualization tools, SQL, Python, R, Tableau, Power BI etc.
• Experience with data warehousing solutions, cloud platforms and ETL processes.
• Excellent problem-solving skills, with a proven ability to analyze complex datasets and communicate findings in a clear, actionable manner.
• Bilingual proficiency in English and Chinese, enabling effective communication across multilingual teams and stakeholders.

Responsibilities:

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

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

Communicate effectively within the team

Filling of documents

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

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

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

Job Description

• To perform data entry, entering client accounts, patient demographic information & order laboratory tests completely and accurately into the Laboratory Information System (LIS).

• Recognize and correct inaccurate or missing information on the laboratory requisitions

• Filling and archiving of documents.

• Assist in printing department, sorting and distributing laboratory reports on an ad-hoc basis.

• Any other ad-hoc administrative duties as assigned.

• Ensuring smooth daily operation.

Job Requirements

• Willing to work 5.5 days (Mon-Sat) work week, overtime and rotating shift schedule

• Minimum GCE N & O-Level with at least 1 year of relevant call centre work experience, preferably in healthcare industry.

• Good typing skills and accuracy.

• Strong communication and interpersonal skills

• Excellent phone etiquette and positive learning and working attitude

• Fluent in written & spoken English is a must

• Computer literate, Proficient in Microsoft Office and Excel

• Hardworking, responsible, multitask and meticulous attention to detail

• Cooperative, able to work well with colleagues and superiors.

• Team player & supportive of the operational needs

Shortlisted candidates will be required to do a typing skills test.

Work Schedule:

Monday to Friday: 10.15 am to 6.45 pm

Saturday: 11.00 am to 3.30 pm

Start time subject to change accordingly to operational needs.

Job Scope:

1. Input up-to-date research findings and prospect data into database.
2. Conduct simple research on prospective donors using public sources to help identify new individuals and corporates who could donate, and to help compile profiles to prepare fundraisers.
3. Compile and update donation and fund related information in the departments CRM database.
4. Provide support in preparation of data for development of new data analytics projects, e.g., studying effectiveness of email content.
5. Other basic database admin connected to prospects and donors.

Working Arrangement:

Working Hours:

Location: Nanyang Avenue

Salary: $2000-$2800/Month

Contract Duration: 6 Months (renewable subject to performance)

Requirements:

1. Minimum A-Levels/Diploma qualification
2. Possess experience working on databases and reviewing and collating quantitative data or qualitative information from public sources.
3. Possess some research experience and skills (e.g. academic/study research, market research, fundraising research).
4. Knowledge of MS Office applications including MS Excel and Word.
5. Ability to work on tight deadlines and work independently and in a team.
6. Demonstrate resourcefulness and flexibility.

EA License No.: 96C4864

Reg. No.: R22110485

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

• Assist in organizing and maintaining data governance documents and policies.
• Help monitor data quality and flag any issues.
• Support the team in maintaining data records and updating data dictionaries.
• Work with different teams to resolve simple data-related issues.
• Assist in generating reports on data quality and governance activities.
• Assist in the activities related to Data Governance framework implementation within CGSI group.

Job Requirements

• 0-2 years of experience in data management or related field.
• At least Diploma in Computing or a related field.
• Basic understanding of data management/governance concepts
• Strong organizational skills
• Familiarity with Microsoft Excel or basic data tools is a plus
• Good communication skills
• Preferably has experience working with cross-geographical teams
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

Customer Service Assistant | logistic | Up to $2.5k | 5 Days | Jurong

Basic $1800 - $2500 (With AWS)
Working Days: 5 Days (if required OT will get OT pay)
Working hours: Monday - Friday 8:30am - 6pm
Location: Penjuru road

Job Description

• Shipment coordination (local and cross borders)
• Preparation of daily/monthly report
• Prepare internal reconciliation billing report
• Attend to customer’s daily operation meeting

Requirements

• Minimum 1 year experience in logistics
• Experience in SAP & WMS function will be added advantage
• Computer Literate & Proficient in MS Office

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Responsibilities:

• Ensure accurate static data maintenance for clients such as creation of client accounts and upkeep client information
• Process closure of client and counterparty accounts
• Conduct name searches as requested by management
• Process e-banking applications / modifications / cancellations for clients
• Manage Hold Mail services provided to clients

Requirements:

• Degree with 1-2 years of experience in banking
• Previous experience in static data maintenance for client is highly preferred
• Good knowledge of account documentation requirements
• Basic hands on experience in Excel / Access based automation (e.g. Macros) to improve efficiency would be an advantage

Please state your availability, current and expected salary in the resume.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Sarah Kuan | Registration No: R1105359

Qualifications-

• 3-5 years of experience in data engineering or a related field.
• Strong knowledge of data warehouse concepts, ETL processes, and data modeling techniques.
• Experience with cloud-based data platforms (e.g., AWS, SnowFlake).
• Proficiency in SQL and experience with NoSQL databases.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of data governance principles and data privacy regulations.

Job-Specific Technical Skills:

• Proficiency in Python or Scala for data processing and automation.
• Experience with ETL tools (e.g., Apache NiFi, Talend, Informatica).
• Knowledge of data visualization tools (e.g., Tableau, PowerBI) to support data quality checks and pipeline monitoring.
• Familiarity with version control systems (e.g., Git) and CI/CD practices.
• Experience with container technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Understanding of data security best practices and implementation.

Qualifications

Required Experience and Knowledge

• 2-3 years of experience in data science, machine learning, or a related field.
• Strong foundation in statistical analysis and machine learning algorithms.
• Proficiency in Python or R for data analysis and modeling.
• Experience with SQL for data manipulation and querying.
• Familiarity with data visualization tools such as Tableau, PowerBI, or Matplotlib.
• Understanding of customer lifecycle management concepts and metrics.

Job-Specific Technical Skills

• Proficiency in Python or R for data analysis and machine learning.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of SQL for data extraction and manipulation.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience with version control systems (e.g., Git).
• Understanding of data visualization principles and tools.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Key Responsibilities:

• Develop dashboards to facilitate efficient data analysis for product performance, customer profiles, business insights and product effectiveness.
• Conduct quantitative analysis and data mining to support management decisions and provide data-driven recommendations.
• Organize and prepare regular reports relating to business performance and service usage.
• Work closely with the Data Engineer to develop models and bring up new predictive ideas.
• Hands-on with data ingestion, ETL process and automation across systems and platforms.

Key Requirements:

• Bachelor's Degree or related disciplines in Computer Science, Big Data, Data Analytics and Statistics.
• 1-3 years of experience in high data volume, unstructured data environments.
• Proficiency in SQL is a must, Good at Python is nice to have.
• Experience with data visualization tools such as Tableau, PowerBI etc. Must be strong in Excel.
• Strong logical thinking and problem-solving skills, ability to work independently and as a team member.
• Proficient in understanding business lingos.
• Good communication skills with the ability to share complex findings with both technical and non-technical audiences.
• Experience in transaction/E-payment industries is a plus.

Responsibilities:

• Understand the questionnair flow to come up with a suitable user interface and validation criteria.
• Create surveys in system by building questions, branching and error prompts.
• Create visually appealing and user-friendly solutions to improve engagement and satisfaction.
• Perform user acceptance testing, debugging of system issues and follow up with users on deployment/system issues.
• Collaborate with stakeholders to identify opportunities for process improvements and recommend system modifications.
• Communicate with stakeholders to ensure a smooth workflow throughout the survey.
• Document information from surveys creation to allow others to replicate the steps.
• Independent in handling surveys end-to-end; including dealing with issues arising from survey system.
• Design and implement experiments to test hypotheses and validate model performance
• Collaborate with internal and external stakeholders to create data solutions to suit their business needs

Requirements:

• Proficient in Python or R programming language
• Sound knowledge in Statistics and Machine Learning
• Experience in IT or database administration a plus
• Experience in UI/UX will be advantageous
• Analytical and logical thinking
• Good communicator and team player
• 5 days work week
• 6 months contract with possiblity of extension
• Location Central
• Salary up to $4,200 depending on experience

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PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No: R1982883 (Koh Wei Ling, Gao Weiling)

GOREF:9039

Responsibilities:

• Collaborate with business partners to understand business needs and functional requirements, translating them into Hadoop-based solutions.

• Ensure seamless integration and management of large datasets, working with HDFS, Hive, HBase, Apache Kudu, and other Hadoop ecosystem tools to implement efficient data processing workflows.

• Utilize Hadoop job schedulers such as Oozie and Run Deck to streamline job scheduling, execution, and workflow management.

• Leverage cloud data services like Azure and GCP (BigQuery, BigTable, DataProc) to integrate and process large-scale data sets on cloud platforms.

• Expertly use Sqoop, Apache Nifi, and other data ingestion tools to import and export data from various SQL and NoSQL databases.

• Apply Big Data analytics techniques to derive actionable insights from vast and complex datasets, enabling data-driven decision-making.

• Mentor and guide junior developers and team members, providing technical expertise and support to ensure the timely and successful completion of tasks.

• Regularly communicate project status and provide solutions to meet evolving business requirements, ensuring the delivery of high-quality Big Data solutions.

Requirements:

• B.Tech. in Computer Science or Data Science

• 10+ years of hands-on experience working in the Hadoop ecosystem with expertise in HDFS, Hive, Sqoop, Oozie, Impala, Spark, Pyspark, HBase, and Apache Kudu.

• Strong hands-on experience with Azure Data Services (Blob Storage, HDInsight, Azure SQL, Delta Tables) and GCP services (BigQuery, BigTable, DataProc).

• Proficient with data processing tools such as Spark, Kafka, Pig, and Apache Nifi.

• Expertise in scheduling and managing jobs using Oozie, Run Deck, and Cron jobs.

• Strong experience with NoSQL and SQL databases like Hive, HBase, Apache Kudu, and MySQL.

• Strong programming skills in Python, Java, and shell scripting to automate processes and workflows.

• Experience with version control tools like Git, TFS, and SVN.

• Experience with Cloudera and HortonWorks Hadoop distributions.

• Familiarity with BI tools for data visualization and reporting (e.g., Tableau, Power BI).

• Knowledge of advanced frameworks like Apache Kafka, Apache Flume, and Apache Solr.

• Strong analytical and problem-solving skills with the ability to quickly adapt to new technologies and complex data challenges.

• Proven experience in leading teams and mentoring junior developers and engineers.

This role is responsible for the design, development, testing, implementation and maintenance of data integration and data management solutions

Duties & Responsibilities Project & Support Tech Lead role

• Drive requirements gathering workshops to study as-is systems and processes and identify gaps between proposed design and gathered requirements
• Responsible for the high-level and detailed technical solution and design in adherence to data management and organization’s IT policies
• Responsible for the design, development, testing and implementation of data integration and data management solutions
• Responsible for data profiling and data quality improvement recommendation
• Lead technical members from different teams to deliver the end-to-end solution that meets time, scope and quality requirements
• Work with data engineers, data analysts and data scientists in the implementation of analytics solutions
• Work with OLTP systems and Enterprise Integration teams in the implementation of end-to-end data integration solutions

Tech research / evaluator role

• Responsible for greenfield data management technology exploration, innovation, evaluation and implementation
• Produce training materials and provide cross-skill / up-skill training or coaching to technical members

Requirements(Please state Qualification, Years of Experience, Knowledge & Skills required.) Work Experience

• At least 10 years of IT working experience, with 6 years strong experience in Informatica as ETL Architect/Lead and 2 years leading remote team.

IT Technical skills & knowledge

• Solid SQL skills, including experience querying and tuning large, complex data sets and performance analysis
• Knowledge in Python
• Must have Azure Data Factory, or Azure synapse analytics or Fabric Data Pipelines
• knowledge in MQuery or Dataflow Gen2
• Strong knowledge in ETL implementation from source APIs to target data stores like Azure, Amazon S3 and on-premises storage
• Good knowledge in network and/or operating systems
• Possess working experience in using globally recognized frameworks such as DAMA, ITIL, TOGAF, ISO/IEC27001 or CoBIT
• Certification in Microsoft Certified Fabric Analytics Engineer Associate preferred
• Data security, protection or privacy related certification is bonus

Non-IT skills

• Solid skills in cost-benefit analysis, selection, and implementation of data management technology to an organisation
• Experience in writing RFP specification is preferred

Education

• Degree or diploma in Data Engineering, Business Analytics, Information Technology, Computer Science or equivalent.
• Candidates with qualifications covering Business & IT domains are preferred

Other behavioural attributes

• Evidence of self-learning attitude to continuously improve knowledge and skills
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors
• Empathic personality with ability to communicate with all levels of management, users, and vendors. Has history of establishing win-win negotiation outcomes.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Internal ref: 9235

Regards,

Lini

Recruitment Consultant

R22108463