Position: Position: Furniture sales clerk

Pass: SG, PR, LTVP

Salary: 2000-8000

Working hours: 10:00am-6:00pm, weekends: 10:00am-8:00pm (1 hour lunch break, 4 days a week,

Requirements: Extensive experience in a sales position (preferably in furniture or lifestyle retail).

Two years of sales experience

 Fluent in English and Mandarin (in order to liaise with different customer groups).

 Strong interpersonal skills and a customer-centric attitude.

 Ability to work in a team-oriented environment while achieving individual sales goals.

 The passion for design, furniture or craftsmanship is extremely high.

 Work on weekends and public holidays as needed.

Job Description

• Industry/ Organization Type: Furniture Manufacturer
• Position Title: General Admin Clerk
• Working Location: Kaki Bukit
• Working Hours: 5.5 days (Monday – Friday: 8.00am – 5.30pm, Saturday: 8am – 12.30pm)
• Salary Package: Basic Salary up to $3,000
• Duration: Permanent

Key Responsibilities

• Prepare essential documents, such as memos, reports, and other forms of communication.
• Manage and respond to emails and phone calls, forwarding communications to the right people when necessary.
• Regularly communicate with staff to help procure necessary items for the office.

APPLY NOW!!!

• 1-2 years of experience for entry-level positions.
• A Diploma or Degree in Office Administration is a plus.
• Familiar with productivity tools like Microsoft Office Suite.
• Knowledge of email platforms like Microsoft Outlook and Gmail.
• Ability to use or learn office equipment such as printers, fax machines, and phone systems.
• Strong communication skills.
• Able to work independently and ask for help when needed.

Please 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 #70403 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 | Adelin Chong | EA Reg No.: R1875641

Job Description

• Industry/ Organization Type: Wholesaler
• Position Title: Invoice Billing Clerk
• Working Location: Pasir Panjang
• Working Hours: 5.5 days (Mon - Sat, 830am - 530pm; Alternative Saturday)
• Salary Package: Basic salary up to $3,000 + OT + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Prepare and send out invoices to clients accurately and promptly
• Collect and process orders from call-in customers, ensuring order details are accurately recorded and communicated
• Monitor outstanding balances and follow up on short credit term customer.
• Assist with reconciling billing discrepancies and resolving issues.
• Maintain accurate records of billing transactions and update customer accounts.
• Collaborate with the accounting team to ensure smooth billing processes.
• Handle customer inquiries related to billing and orders.

APPLY NOW!!!

• Completion of GCE 'O' Level or possess basic accounting knowledge.
• 2 years of experience in a similar role.
• Attention to detail and accuracy in handling financial data.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71130 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 | Rachael Lee | EA Reg No.: R2093131

whatsapp: 85986715

Job Title: Airport shop Clerk

Gender Requirements: Both men and women are acceptable

Salary: $2800-$4000

Rest time: 2 days off per week Working hours: 8 hours per day

Reimbursement of transportation expenses

Location: Changi Airport

Job requirements: proficient in Chinese and English speaking

Interview method: online interview

Jie Shun Jia | EA License No.: 24C2410 | EA Registration No.: R24124440 (FENG YINGJIE)

The Job

• Purchase order processing for various agencies

• Goods receipt and matching of DO with invoices

• Consolidate and process order for stationery for the company, price comparison and price negotiation

• Inventory Maintenance, ie. Parts no creation, stocks adjustment

• Claims from suppliers

• Prepare monthly reports for various HOD

• Update the new prices twice yearly

Requirement

• Minimum GCE "O" Level

• Minimum 2 years of relevant working experience

• Knowledge of inventory control and logistics documentation

• Proficient in Microsoft Excel and Word

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Please email your resume in a detailed MS Word format to [email protected] stating

1) Current Drawn

2) Expecting Salary

3) Date Available

4) Reason to Leave each job:

We regret that only shortlisted candidates will be notified

Joyce Koh Ai Leng

People Profilers Pte Ltd

20 Cecil St, #08-09, PLUS Building, Singapore 049705

Tel: 6950 9737

www.peopleprofilers.com

EA License Number: 02C4944

EA Personnel Reg nos R1110618

Job ID: L73988X3

Job Description

• Industry/ Organization Type: Wholesaler
• Position Title: Invoice Billing Clerk
• Working Location: Pasir Panjang
• Working Hours: 5.5 days (Mon - Sat, 830am - 530pm; Alternative Saturday)
• Salary Package: Basic salary up to $3,000 + OT + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Prepare and send out invoices to clients accurately and promptly
• Collect and process orders from call-in customers, ensuring order details are accurately recorded and communicated
• Monitor outstanding balances and follow up on short credit term customer.
• Assist with reconciling billing discrepancies and resolving issues.
• Maintain accurate records of billing transactions and update customer accounts.
• Collaborate with the accounting team to ensure smooth billing processes.
• Handle customer inquiries related to billing and orders.

APPLY NOW!!!

• Completion of GCE 'O' Level or possess basic accounting knowledge.
• 2 years of experience in a similar role.
• Attention to detail and accuracy in handling financial data.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71130 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 | Rachael Lee | EA Reg No.: R2093131

• 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.

Overall Role Purpose:

• Working within the Group Data Science, you will leverage huge volumes of Structured and Unstructured data to solve real business problems across the OCBC Group.
• You will work closely with business to understand their problem statements and transform them into ML and AI challenges when needed.
• You will work on a variety of problem from traditional AI and Machine learning to Generative AI problem when needed.

Responsibilities:

• Work with business leaders across OCBC Group to identify opportunities for leveraging big data and Data Science to drive value for our customers and business.
• Develop and maintain machine learning/deep learning models to achieve the desire business outcomes – such as State of the Art Reinforcement learning system or RAG.
• Develop and maintain models in production. Set up controls and monitoring for the models.
• Use MLOps processes and tools to monitor and refine Production model performance and accuracy.

Specific Knowledge:

• 2 years+ of experience manipulating data sets and building statistical models, ideally with a Master’s or PhD in Statistics, Mathematics, Computer Science or other quantitative field.
• Strong programming experience, with solid understanding of software engineering design patterns and best practices.
• Experience with big data technologies such as Hadoop, Trino, and Spark.
• Some experience in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
• You have a passion for AI and ML, and you want to learn more everyday

Communication & Soft Skills:

• Ability to execute in a fast-paced environment.
• Creativity to see possibilities within the data & translate into compelling stories, decisions, and actions for non-technical business users.
• Strong communication skills and drive to deliver business benefits in the real-world.
• Genuine drive to learn and master new technologies and techniques.

Responsibilities include, but not limited to:

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Identify meaningful insights from large data and metadata sources.
• Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

Minimum Qualifications:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing.
• Experience in statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Exposure to the semiconductor industry is a plus but not a requirement.
• Strong verbal and written communication skills.

Minimum Experience & Skills:

• Ability to extract data from different databases via SQL and other query languages and apply data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Experience with or desire to learn:Machine learning and other advanced analytical methods.
  Fluency in Python and/or R.
  pySpark and/or SparkR and/or SparklyR.
  Hadoop (Hive, Spark, HBase).
  Teradata and/or other SQL databases.
  TensorFlow, and/or other statistical software including scripting capability for automating analyses.
  SSIS, ETL.
  JavaScript, AngularJS 2.0, Tableau.
  
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus.
• Experience working with Manufacturing Execution Systems (MES) is a plus.
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are a plus, but this is not a research position.

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

The Role

The Data Engineer will be part of the data engineering team. He/she will design and develop high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Job Responsibilities

· Build and support data pipelines and all associated Software Engineering infrastructure tasks.

· Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.

· Analyse data requirements, prepare functional and non-functional specifications for the data products.

· Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.

· Analyse and interpret data into business insights.

· Design and develop the dashboards and visualizations using the BI tools.

· Ability to understand and convert the business logics into SQL queries and validate it against the data.

· Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.

· Implement deployment approaches and methods to roll-out the system changes.

· Stay up to date with industry standards and technological advancements that will improve the quality of the data products.

Job Requirements

· A keen learner with a minimum Bachelor’s Degree in Computer Science or related fields.

· At least 2 to 3 years of end-to-end data warehouse, data lake and big data implementation experience.

· Proficient with at least one or more of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, AWS, Data Warehouse, ETL Framework.

· Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.

· Able to work under pressure when there is an escalated demand in the project cycle.

· Understand the solution requirements and progress to develop, build and operationalise the solutions.

· Enjoy problem solving in different domains and industries.

· Love working with a highly energetic and competent team.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Excellent communication; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

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

This Data Analyst role is critical for establishing robust data processes, maintaining data integrity, and supporting the company’s efforts toward leveraging high-quality data for decision-making and AI transformation. Key responsibilities include:

1. Creating Data Processes: Develop procedures for data entry, database integration, and sharing to standardize processes, prevent data duplication or corruption, and ensure long-term data preservation.
2. Protecting Data: Maintain data integrity by identifying and removing duplicates and imperfections, ensuring efficient database functionality. Assess data security risks and monitor usage to prevent breaches.
3. Managing Data Lineage: Track data origins and uses to facilitate issue resolution, ensuring accurate and reliable data.
4. Maintaining Data Quality: Use customer feedback to develop systems for high-quality data, providing actionable insights for better decision-making. Regularly report metrics, track issues, and make recommendations to management.

Key Responsibilities:

• Master Data Management:
  Oversee global master data lifecycle processes, including creation, validation, and deactivation for ERP and CRM systems.
  Develop and enforce data governance policies and procedures.
  Ensure data quality and integrity across systems.
• Process Improvement:
  Suggest or support process improvements and best practices in data management.
  Conduct regular data audits and quality assessments.
• Training and Support:
  Provide training and support to staff on data management practices.
  Resolve data-related issues and discrepancies within systems.
• Documentation:
  Maintain documentation for data management processes and policies.
  Translate business requirements into data modeling solutions and infrastructure.
• Data Operations:
  Responsible for data migration and standardization across the organization.
• Data Visualization and Reporting:
  Develop and maintain data visualizations and reports to support decision-making.
  Collaborate with stakeholders to define reporting needs and ensure alignment with business objectives.
  Utilize tools like Power BI to create dashboards and deliver insights in an accessible format.

Minimum Qualifications

• Education:
  Bachelor’s degree in Information Technology, Business Administration, or a related field.
• Experience:
  3-5 years of experience in master data management or a similar role.
  Proficiency in Microsoft SQL Server with advanced SQL query skills.
  Strong understanding of data architecture and governance principles.
• Skills:
  Proficiency in data management tools (e.g., MSSQL Server Management Studio, Power BI, Excel).
  Strong analytical and problem-solving abilities.
  Excellent communication and interpersonal skills.
  Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Responsibilites

• Design, develop, and maintain robust data pipelines and architectures.
  Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Write and maintain detailed technical documentation for data processes and architecture.
• Monitor and troubleshoot data pipelines to ensure data integrity and quality.
• Stay current with industry trends and best practices in data engineering and integration.

Requirement

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
  Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
  Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
  

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.

Responsibilities

• Designing, developing, testing, and debugging sophisticated computer programs such as database management systems, client/server applications, BI Reports.
• Troubleshooting and maintaining existing applications for their continued operation.
• Select and implement appropriate data storage technologies (relational databases, NoSQL databases, data warehouses) based on business needs.
• Ability and eagerness to learn and work in new technologies and Adhering to project timelines.

Requirement

• Bachelor degree in Computer Science or related field with more than 5 years of experience
• Expertise in SSIS, Power BI, MSBI, SSAS and .Net.
• Strong knowledge of database systems and data modeling techniques
• Basic knowledge in T-SQL and RDMS
• Knowledge in ETL process is added advantage
• Excellent problem-solving skills and attention to detail.

• Newly created role
• International setting & hybrid role
• Trading or commodities industry experience

about the company
My client is seeking a talented Data Engineer to join our team. This hybrid role combines the responsibilities of a data engineer and a data analyst, offering a dynamic environment to develop and implement cutting-edge data solutions. This is a front-facing role requiring collaboration with business stakeholders to deliver impactful data-driven insights.

about the job

• Develop and maintain data pipelines, ETL/ELT processes, and advanced analytics tools.
• Design and optimize relational database models and queries.
• Create interactive dashboards and reports using tools like PowerBI or Tableau.
• Ensure data quality through validation, cleaning, and management processes.
• Expand public market data collection and maintain data freshness.
• Collaborate with business users to gather feedback and iterate on data solutions.
• Contribute to master and referential data management practices.
• Follow software development best practices, including source control and testing.
• Perform other ad-hoc duties as assigned by the manager.

skills and experience required
Minimum 2 years of experience working with large datasets. Proficient in scripting languages such as Python or R, with knowledge of data processing libraries.

Hands-on experience with RDBMS design, querying, and ETL/ELT workflows.

Familiarity with reporting tools like PowerBI, Tableau, or similar. Strong understanding of software development lifecycle and DevOps principles.

The ideal candidate has a background in trading or commodities and at least 2 years of relevant experience.

whats's offer
The permanent role for a Data Engineer will pay a salary range of $ 5,500 to $ 6,500 plus perks from the company.

To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942).

About the client:

Our client is a leading technology start-up that focuses on leveraging data to drive innovation and enhances their enterprise solutions. Due to business needs, they are now looking for a talented Data Scientist to join their regional team. A key part of your role will see you helping customers to unlock insights from complex datasets and make inform strategic business decisions.

About the role:

As a pivotal player within the data scientist team, you will be responsible for analysing large volumes of data, developing predictive models, and deriving actionable insights that support business objectives. This role requires a strong analytical mindset, proficiency in statistical methods, and expertise in programming and data visualization.

Key Responsibilities:

- Collect, clean, and preprocess large datasets from various sources to prepare for analysis.

- Develop and implement statistical models and machine learning algorithms to solve business problems and improve decision-making.

- Conduct exploratory data analysis to identify patterns, trends, and relationships within the data.

- Collaborate with cross-functional teams, including engineering, product management, and marketing, to understand data needs and deliver insights that drive product enhancements.

- Create data visualizations and dashboards to effectively communicate findings and recommendations to stakeholders.

- Monitor model performance and refine algorithms based on feedback and changing business requirements.

- Stay updated on industry trends and best practices in data science, machine learning, and artificial intelligence.

- Document methodologies, processes, and findings to ensure transparency and reproducibility of analyses.

Qualifications:

- Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field; PhD is a plus.

- 3+ years of experience in a data science role, preferably within the technology sector.

- Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.

- Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).

- Strong knowledge of statistical analysis and modeling techniques.

- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib) to present insights effectively.

- Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.

- Strong communication skills to convey complex technical concepts to non-technical stakeholders.

If you are passionate about data science and ready to take on exciting challenges in a dynamic tech environment that fosters a culture of innovation and continuous learning, we want to hear from you.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• trong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Data Analyst

90 Seconds is looking for a Data Analyst to wrangle data and drive business intelligence. This person should be detail-oriented with good commercial acumen and will turn data into information, information into insight, and insight into business decisions. If you are a data wizard with a passion for AI, who wants to be part of a world leading, Sequoia-backed, services marketplace in pro video creation, play a key role and have immense impact on the business, then this is the role for you!

What you'll do

• Understand and manage the data structure of the 90 Seconds marketplace application.
• Extract data from our data sources through writing raw and complex SQL queries, interpret and analyse data and draw valuable insights
• Develop dashboards, graphs and reports using external BI tools including Looker Studios, HubSpot and Google Sheets.
• Work to build custom GPTs (and other AI applications) on top of our data to provide operational efficiencies.
• Work with senior leaders to understand and prioritise information needs and provide insights to the business
• Develop systems for data collection, data analytics and other strategies that optimise business intelligence .

Who you are

• Bachelor's degree in Mathematics, Economics, Computer Science, Information Management or Statistics
• Expert skills in SQL (for use with a PostgreSQL database)
• Experience using third party analytics tools like Looker Studios, HubSpot and Google Sheets or Holistics, Periscope etc.
• Technical expertise in data modelling, database design development, data mining and segmentation techniques.
• Passionate and excited by the efficiencies AI to bring to an organisation.
• Strong attention to detail and accuracy.
• Ability to work well in a fast paced, collaborative, highly cross‐functional environment
• Self‐motivated, independent, and proactive, with a pronounced ability to work through complicated problems.
• Ability to respond flexibly to the needs of the business.
• Strong communication skills, both oral and written

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

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Do you possess excellent problem-solving abilities, programming skills and a passion for creating innovative applications?

Are you interested in working with one of the largest data repositories in the world today, soon to exceed 1 Exabyte?

Do you see yourself as an integral part of a highly skilled, multidisciplinary team solving complex data science problems through ground-breaking innovations and bringing them to actual production?

Do you feel comfortable in challenging problem-solving environments where the issues you are confronting often have no pre-set solutions, require first-principles thinking, and need to be addressed on tight deadlines?

If you answered YES to the above, we have the ideal opportunity for you at Mobilewalla.

About Mobilewalla:

Mobilewalla stands as one of the world's fastest-growing consumer intelligence companies. It is headquartered in the United States and maintains a global presence with offices across Europe, APAC, and ANZ regions.

Our innovative approach involves the development of cutting-edge computational techniques, ranging from semantic compression algorithms that enable the cost-effective storage of vast datasets to statistical modelling techniques that profile anonymous consumers on their mobile devices. This innovation has led to the creation of the largest consumer audience platform in the mobile space. Mobilewalla's platform is rapidly becoming the preferred asset for global marketers seeking to execute data-driven marketing campaigns. We take pride in our technical excellence, earning accolades such as the AWS Technology Company of the Year award in 2019. Additionally, we have been recognised as a premier data company by Oracle Data Cloud, the world's largest digital data marketplace — a distinction shared by only 18 companies globally.

Responsibilities

Advanced Analytics:

• Develop and implement predictive models, algorithms, and statistical analyses to extract meaningful insights from large datasets specific to the Telco domain.
• Design experiments and conduct exploratory data analysis to identify trends, patterns, and opportunities for product enhancement.

Machine Learning:

• Apply machine learning techniques to optimise and personalise Telco product features.
• Collaborate with cross-functional teams to integrate machine learning models into our products, ensuring seamless user experiences.
• Data Modelling: Build and maintain robust data models (community detection) for Telco-specific datasets, considering scalability, efficiency, and accuracy.
• Continuously evaluate and enhance existing models (Householding and Business Community detection) to improve predictive performance.

Product Enhancement:

• Work closely with product managers to identify Telco market trends and customer needs, translating them into actionable data science projects.
• Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction.

Communication:

• Effectively communicate complex analytical findings to both technical and non-technical stakeholders, facilitating informed decision-making.

Qualifications:

• Educational Background: Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• Experience: Proven track record of at least 4 years in a data science role with a focus on Telco competitive intelligence products.
• Strong experience in applying machine learning algorithms and statistical modelling in the Telco domain.
• Technical Skills: Proficiency in programming languages such as Python or R.
• Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools.
• Domain Knowledge: In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies.
• Familiarity with Telco-specific datasets and data sources.
• Preferred Qualification: Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products.
• Collaboration: Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders.
• Communication Skills: Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner.
• 
  

If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join our team and contribute to the success of our cutting-edge products in the telecommunications space.

Individuals who are Singapore Citizens, Permanent Residents, or Current Employment Pass (EP) holders only will be screened.

Only shortlisted candidates will be notified.

No job recruitment agencies.

The Job

To support the fast-growing data analytics function, we are looking for a highly talented Data Analyst. The ideal candidate will be responsible for:

• Building trust, relationship between the Data Team and our business stakeholders, and being responsible to further the maturity in Analytics in the business divisions he/she supports.
• Collaborating and partnering with business units and external partners to identify, plan and prioritise descriptive and prescriptive analytics projects to foster a data-centric culture that produces business impact.
• Partnering with Data Engineering to improve the data availability and quality of data pipelines, tools and processes. Including driving initiatives to standardise organisation metrics and leading data democratisation across the organisation.
• Partnering with other Data Units across the organisation such as the Data Science Team, Audience Engineering, Data Programs, and Innovation Teams in order to find and drive project synergies to drive value in data and analytics in the business lines.
• Contributing to data growth within the organisation by being part of infrastructural project teams and providing a point of view from business unit analytical needs.
• Hands on work on chosen data analytics projects where he/she thinks he/she can most add value to the team and the business. He/she is expected to be highly independent, and to lead business intelligence and analytics projects through the entire lifecycle. The ideal candidate will possess relevant domain, technical, critical thinking and interpersonal skills.
• Thought leadership in advancing SPH Media’s digital transformation and advancing the maturity of the use of data and analytics across the organisation.
• The team is highly diversified with members from completely different backgrounds, but we all believe in systematic approaches and we are always open to new solutions.

General Knowledge & Experience

• At least 2-5 years of experience in a Data Analyst role
• A good university degree in Statistics, Engineering, Economics, Mathematics, Physics, Computer Science, Business Administration or related fields. Or relevant experience in lieu of a degree.
• Exposure and understanding of digital media industry metrics is a bonus

Responsibilities

• Designing, developing, testing, and debugging sophisticated computer programs such as database management systems, client/server applications, BI Reports.
• Troubleshooting and maintaining existing applications for their continued operation.
• Select and implement appropriate data storage technologies (relational databases, NoSQL databases, data warehouses) based on business needs.
• Ability and eagerness to learn and work in new technologies and Adhering to project timelines.

Requirement

• Relevant study in Computer Science or related field with more than 5 years of experience
• Expertise in SSIS, Power BI, MSBI, SSAS and .Net.
• Strong knowledge of database systems and data modeling techniques
• Basic knowledge in T-SQL and RDMS
• Knowledge in ETL process is added advantage
• Excellent problem-solving skills and attention to detail.

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