Jobscope

• Providing frontline customer service and handle counter registrations, scheduling appointments
• Collection of payments and basic admin duties
• Liaise with patients and family members and educate on medical follow up appointments
• Assist medical professionals in daily clinic operations
• Other Ad-hoc duties

Requirements

• Min N/O/A Levels or Diploma in any studies are encouraged to apply
• Customer service experience required
• Willing to walk and stand for long hours, dealing with patients in close contacts and comfortable to work in a hospital setting
• Office hours/ shift hours available
• Able to commence work immediately / short notice

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA License Number: 99C4599

We are looking for a Temp HR Admin Assistant to be outsourced to our healthcare clients.

Job Description:

• Handle recruitment process
• Conduct phone screening or interview
• Coordinate interview with hiring managers
• Ensure that documents received are accounted for
• Liaise with external parties
• Assist with ad-hoc administrative duties

Job Requirements:

• Min A Level/ Diploma/ Degree in any related course of studies
• Candidates without experience are welcome to apply as training will be provided

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

• Chance to lead a global data warehouse infrastructure in a leading tech company
• It provides leadership opportunities, allowing you to guide a team

About Our Client

The client is a globally recognized leader in short-form mobile video, offering an innovative platform that inspires creativity and brings joy to billions of users worldwide. With a presence in major cities like Los Angeles, Singapore, New York, and London, they are at the forefront of digital entertainment and technological innovation. Working here means being part of a vibrant, forward-thinking team where every challenge is viewed as an opportunity to learn, innovate, and make a global impact. This is a place where creativity thrives, and bold ideas are encouraged to shape the future.

Job Description

• Lead the design and management of the data warehouse infrastructure, ensuring alignment with business needs and industry standards.
• Drive the development and optimization of ETL processes and real-time data pipelines.
• Create and maintain data products that deliver valuable insights for business decision-making.
• Oversee the rollout, upgrade, and enhancement of data systems to improve efficiency.
• Manage analytics applications and visualization tools to transform data into actionable insights.
• Mentor and guide team members, fostering a collaborative and innovative work environment.
• Collaborate with business units to translate requirements into effective data solutions.

The Successful Applicant

• Minimum of 5 years of experience in data engineering and data warehouse concepts
• Proven experience in designing and maintaining complex ETL pipelines with high reliability and security
• Expertise in distributed computing engines such as Hive, Spark, Hadoop or Flink
• Strong problem-solving and data modeling skills
• Attention to detail with a focus on optimizing data systems and processes
• Excellent communication skills to collaborate with cross-functional teams
• Leadership abilities to mentor and guide team members

What's on Offer

• Competitive Salary: Attractive compensation package
• Growth Opportunities: Professional development and career advancement in a fast-paced environment.
• Innovative Projects: Work with cutting-edge data technologies impacting millions globally.
• Collaborative Culture: Join a diverse team that values creativity and teamwork.
• Comprehensive Benefits: Health insurance, wellness programs, and paid time off.
• Global Exposure: Collaborate with teams from various countries.

Contact

Lydia Chen (Lic No: R22108104 / EA no: 18C9065)

Quote job ref

JN-102024-6551971

Phone number

+65 6416 9829

Page Personnel Recruitment Pte. Ltd.| Registration No. 201736642C

As a Data Engineer with expertise in Databricks, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure in the cloud. You will play a key role in enabling data analytics, machine learning, and data-driven decision-making processes by leveraging the full potential of Databricks and its integration with big data technologies.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and optimize robust ETL pipelines using Databricks and Apache Spark for processing large-scale datasets. Ensure data pipelines are scalable, efficient, and capable of handling both batch and streaming data
• Databricks Platform Expertise: Leverage the Databricks platform to perform data transformations, data integration, and advanced analytics. Use Databricks notebooks for building reusable data pipelines, automating workflows, and ensuring data quality
• Cloud Data Engineering: Build, deploy, and manage data infrastructure on cloud platforms (e.g., Azure, AWS, GCP) using Databricks and other cloud-native tools. Work with Delta Lake and data lakehouse architectures to enable reliable and real-time data analytics
• Data Modeling & Optimization: Develop and maintain data models that optimize query performance and support analytics use cases. Implement data partitioning, indexing, and caching strategies in Databricks to improve performance and reduce costs
• Collaboration with Data Teams: Collaborate with Data Scientists, Data Analysts, and other stakeholders to understand business requirements and translate them into scalable data solutions. Ensure data is easily accessible for analytics and reporting
• Big Data Processing: Implement and maintain big data pipelines using Apache Spark on Databricks, focusing on high-performance processing of large datasets. This includes batch processing, real-time streaming, and machine learning workflows
• Automation & Orchestration: Build automated data workflows using tools like Airflow or cloud-native orchestrators. Ensure data workflows are resilient, monitor performance, and handle failure gracefully
• Data Governance & Security: Ensure all data solutions adhere to organizational data governance and security standards. Implement role-based access controls, data masking, and encryption in Databricks to maintain data privacy and security
• Performance Tuning: Continuously monitor and optimize data pipeline performance. Utilize Databricks features such as auto-scaling, caching, and cluster management to ensure optimal cost-efficiency and performance
• Documentation & Best Practices: Develop and maintain comprehensive documentation for data pipelines, models, and architecture. Promote best practices in data engineering and drive continuous improvements in processes and technology

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• Proven experience as a Data Engineer, with a focus on building data pipelines and solutions using Databricks
• Strong knowledge of Apache Spark and experience in optimizing Spark jobs
• Proficiency with cloud platforms such as Azure, AWS, or Google Cloud, and familiarity with Delta Lake or data lakehouse architectures
• Experience with data modeling, performance tuning, and SQL
• Hands-on experience with Python or Scala for data processing and workflow automation
• Familiarity with data orchestration tools such as Airflow, Databricks Workflows, or similar
• Knowledge of data governance, security, and compliance best practices in the cloud
• Experience with CI/CD pipelines and DevOps for data engineering

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Data Analyst

Job Requirement:

• 3 to 5 years of Experience with QlikView and Qlik Sense, including dashboard development, data modelling, and reporting.
• Proficiency in Business Intelligence (BI) tools, visualization tools, and scripting.
• Knowledge of SQL for data manipulation.

Responsibilities:

We are looking for Data Analyst to support the design, development, and implementation of various dashboard requirements. Collaborate closely with a team of data analysts and business users throughout each project stage to ensure timely and high-quality delivery of dashboard solutions.

1) Requirements Gathering:
a) Gather and analyze requirements from business stakeholders.

2) Data Preparation:
a) Clean, transform, and analyze data to ensure its suitability for dashboard development.
b) Perform data discovery and analysis from the bank’s data platform to assess the feasibility of requirements.

3) Dashboard Design:
a) Conceptualize dashboard designs through wireframes and prototypes.
b) Develop visually appealing and intuitive dashboards in QlikView/Qlik Sense to effectively communicate key insights and metrics.
c) Apply best practices in user interface (UI) and user experience (UX) design.

4) Testing & Troubleshooting:
a) Conduct testing and troubleshooting to ensure dashboard functionality and performance across different devices and platforms.

5) Training:
a) Conduct training sessions and roadshows to promote awareness and usage among target users.

6) Additional Tasks:
a) Assist with other data discovery tasks (non-dashboard related) that the team is working on.

8) Analytical Skills:
a) Convert data into meaningful information and insights.

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:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that help the organization achieve its goals.
• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
• Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data.
• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP.
• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.
• Good to understand data security features like data masking, data encryption, role based & fine grain access control mechanisms etc.

Qualifications:

• 5+ years of relevant experience in data engineering/analytics space.
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka.
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Experience developing solutions for cloud computing services and infrastructure.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective.
• Experience in agile development.
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, and problem-solving capabilities.

About Us!
The mission of the Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB strives to be data-driven to the core, adopting evidence-based decision making to develop better housing policies service, improve service delivery and optimise operations.

What Will You Do?

As a data scientist, you will play an important role in supporting HDB on its journey to become data-driven to the core. In this role, you will assume the following responsibilities: 

• Provide guidance to business units on data science techniques and how it may help them 
• Conceptualise and execute data science projects for business units
• Apply analytical techniques such as data mining, statistical analysis, machine learning etc.
• Uncover actionable insights and present them clearly in an easy-to-understand manner
• Work with IT and Internal Audit units to operationalise data science projects by deploying them into production and maintaining them
• Document, share and continuously improve data science practices 
• Manage a range of stakeholders, while remaining focused on delivering high-impact data-driven outcomes for the good of the organization.

Some of the projects that you might be involved in include:
• Data visualization for pattern and trend identification
• Anomaly detection via machine learning algorithms
• Analysing textual data for insights and compliance issues
• Identifying trends and deviations for further investigation

You will be a Great Fit if you:

• Possess a relevant background (i.e., Bachelor’s, Master’s preferred) in Statistics, Data Science, Machine Learning, Economics, Mathematics, Operation Research, Computer Science or related technical field from a reputed institution. 
• Have 2+ years of relevant work experience in a business analytics or data science facing role
• Are experienced in use cases related to audit/compliance will be beneficial
• Are proficient in analytical tools such as Python, R, Tableau, etc.
• Have strong analytical, project management and organization skills

An Ideal Candidate would be:
- A team player who loves working with diverse teams
- Passionate about working in the public service for the public good
- Independent and self-driven
- A clear and competent communicator

Successful candidates will be offered a 1+1 year contract in the first instance. Conversion to perm is dependent on good performance.

Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers

Please apply for the job through the Careers@Gov job portal as linked:

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/15180394/3b1ec30b-7530-1eef-a0bf-aff7933461ea

JOB PURPOSE:

We are looking for a passionate and quick-thinking individual. This successful candidate will transform raw data into meaningful and insightful information, that empowers our business users for better decision making.

KEY RESPONSIBILITIES:

• Learn and understand WSI Sourcing business workflow and data requirements.
• Interpret data, analyze results using data collection techniques and providing reports & dashboards
• Develop and implement data collection techniques where needed, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain good data in our database systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

JOB HOLDER’S COMPETENCIES & EXPERIENCE:

• Degree/Diploma Computer Science, Information Management or Statistics, Mathematics
• At least 5 years of working experience as a data analyst.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Proficient in writing and optimizing SQL statement, and programming (XML, data transformation services, ETL)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Experience with using or implementing Power BI would be advantageous
• Proficient in data automation
• Experience with application of Large Language Models would be advantageous

Job Description:

• 15+ Years Experience in Data Engagements, especially leading data strategy, roadmap and implementation.
• Architecture: Enterprise Data Strategy & alignment to Business Strategy, Transformation Projects, various data and warehouse architecture models, Information flow, Integration/interfacing models/approach, Business Information Models, Logical Data Models, Canonical models, Data Life Cycle Management, Reporting (Analytical, Compliance, Regulatory, Models)
• Banking Experience and Corporate Credit Domain Knowledge is must.
• Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.
• Master Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric.
• Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution.
• Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin.
• Design Methodologies: Normalized/De-normalized designs, ER-Models, Star schema models, relational models, Hierarchical models, Inmon and Kimball methodologies.
• PostGres DB, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake.

Additional Skills

• Programming & GUI: MS SQL, PL/SQL, NoSQL, Shell Scripting, VBA, T-SQL, DAX, MS SSRS, Oracle Forms (6i, 9i & 10g), Intellimatch, MS Access.
• RDBMS: Oracle 9i/10g (SQL,PL/SQL), MS SQL Server 2008/ 2012/2014, Oracle 9i AS/10g.
• Web/Cloud tools: Site Core, Amazon AWS, WordPress, Google Analytics/GTM reporting.
• Management Tools: MS Project, MS Office (Access, Excel, Word, PPT), JIRA, rLean.
• TOGAF for Architecture, DAMA – DMBoK.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Job Description:

• Expertise in Python, PySpark, and SQL to join our dynamic team.
• The ideal candidate will have a strong programming background and experience in the financial industry.
• Proficiency in SAS programming and the ability to speak Chinese are considered a plus.
• Programming and ETL: Develop and maintain Python, PySpark, and SQL codes to support various tasks and activities.
• Perform code reviews and discovery.
• Conduct ETL processes to create data pipelines.
• Perform data quality checks and prepare data marts for business applications such as Tableau Control Tower and Campaigns.
• Data Reconciliation: Conduct sophisticated data reconciliation to identify data issues.
• Support investigation processes to resolve data discrepancies.
• Data Visualization: Develop visualizations for business problem-solving and control tower purposes using Tableau.

Requirements:

• Strong logical thinking and programming skills.
• Excellent communication skills.
• Experience in the financial industry is a plus.
• Proficiency in SAS programming is a plus.

• 4- 9 yrs and 6-9 yrs experience.

Responsibilities:

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

Key Qualifications/Requirements:

• Bachelors (w/ min. 3 yrs of relevant working exp.)/ Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp.Computer Science,
  Data Science,
  Statistics Applied Sciences, or related field.
  

Work experience/Skillset:

• Programming skills : Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

• West Location
• Reputable Transportation Company
• Good company benefits

As a Data Administrator, you will be responsible for the following duties:

• Verify details (Model/ Mover/ Company Name)
• Verify if inspection is required
• Determine if the customer is using our account or their own account for inspection
• Review Before & After Repair Photos
• Upload Photos to ensure all billed items have corresponding photos
• Check all WhatsApp messages
• Ensure every completed job is accounted for and submitted in system
• Review job scope details
• Verify unclear issues with workshop workers or prepare to address potential errors
• Based on system requirement, list out the complete job scope in the maintenance report
• Email the maintenance report to the customer
• Email the billing department with necessary details
• Purchase goods or services that meet the quantity and quality expectations of the organization
• Evaluate and negotiate contracts with vendors
• Track inventory and restock goods when needed
• Stay up to date on industry trends and new products
• Compare available goods with industry trends to determine appropriate pricing

Requirements

• Candidate who is IT savvy will be an added advantage
• Candidate who have 1 year of administrative/ customer service experience will be an added advantage

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email
Email Address: [email protected]

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

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

Responsibilities:
Model Development:
● Develop and refine machine learning models to improve chatbot performance intasks such as intent classification, dialogue management, and sentiment analysis.
● Experiment with different models and algorithms to achieve optimal results.
● Collaborate with engineers to integrate models into the VICA platform.

Data Analysis:
● Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.
● Utilize statistical techniques and visualization tools to communicate findings effectively.
● Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

Natural Language Processing:
● Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.
● Explore cutting-edge NLP methods to enhance chatbot capabilities.

Innovation:
● Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.
● Propose and implement innovative solutions to address chatbot challenges and improve user experience.

Collaboration:
● Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:
* Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
* Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.
* Strong understanding of Natural Language Processing (NLP) concepts and techniques.
* Experience working with real-world, large-scale datasets.
* Excellent communication and collaboration skills.
* Ability to work independently and manage multiple projects simultaneously.
* Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Key Skills: AWS, Databricks

Bachelor’s or master’s degree in computer science, data engineering, or a related field.

* Minimum 10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

* Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

* Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

* Strong knowledge of SQL and NoSQL databases.

* Familiarity with data modeling and schema design.

* Excellent problem-solving and analytical skills.

* Strong communication and collaboration skills.

* AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

* Experience with big data technologies like Apache Spark and Hadoop on Databricks.

* Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

* Familiarity with data visualization tools like Tableau or Power BI.

* Knowledge of containerization and orchestration tools like Docker and Kubernetes.

* Understanding of DevOps principles for managing and deploying data pipelines.

* Experience with version control systems (e.g., Git) and CI/CD pipelines.

WE WANT YOU TODAY
We are looking for like-minded individuals ready to build their career!

WHO ARE WE
We are a leading sales and marketing agency located in Singapore. Our team is expanding and we are looking for driven individuals from any background ready to achieve goals together.

WHAT WE DO
Through our provided specialised coaching, we help clients to achieve their sales revenue and brand awareness. This involves identifying potential customers, demonstrating a high level of product and brand knowledge and portraying strong customer service.

WHAT WE OFFER
- Fun & vibrant environment
- Personalised 1-to-1 coaching & guidance
- Individual personal development opportunities
- Travelling opportunity

WHAT YOU NEED
- No Experience or Fresh Graduates are Welcomed
- Keen Learning Attitude & Strong Desire
- Good Communication & Interpersonal Skills
- Team-oriented Individuals

Interested? Keen to find out more?
Apply Now!!!

Working location: Orchard

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

JOB DESCRIPTION

• Develop and schedule engaging content for social media platforms
• Manage and update the company’s social media profiles
• Monitor social media channels for customer inquiries and comments, responding promptly
• Plan and execute social media campaigns to promote products, services, and events
• Collaborate with the marketing team to align social media efforts with overall marketing strategies
• Track and analyze the performance of social media campaigns using analytics tools
• Prepare reports on social media activity, engagement, and growth
• Engage with followers by liking, commenting, and sharing relevant content
• Foster community growth by interacting with the audience and encouraging user-generated content
• Stay updated on social media trends, tools, and best practices
• Implement new strategies to keep the company’s social media presence innovative and effective

JOB REQUIREMENT

• Minimum Diploma and above
• Strong communication and writing skills
• Proficiency in using social media platforms and management tools
• Creative thinking and ability to develop engaging content
• Hardworking with high initiative and willing to take on new challenges

EA Reg. Number: R21100629

EA License Number: 22C1278

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Our client is a Automotive Manufacturing MNC. Due to their current expansion plan, they are looking for a Luxury Sales Advisor (Front Line) to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Identify customer needs by understanding their background, reason for visiting, and purchasing timeline, building a comprehensive customer profile.
• Provide personalized information to educate and inspire guests, offering a customized experience based on their interests.
• Demonstrate expert knowledge of all products and services for owners/customers.
• Support sales efforts by capturing customer contact details and scheduling test drives for individual who interest/potential to buy.
• Consistently update the CRM system to ensure accurate and up-to-date sales and delivery information for management.
• Facilitate vehicle preparation and delivery appointments, offering customized orientations based on the customer’s individual preferences and comfort levels.
• Any other duties as assigned.

Requirements

• Min 2 years’ relevant working experience
• Good Customer Service
• Good Communication Skills

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Location: Sim Drive
Salary: $2500-$3300+$200
Japanese MNC
Mon to Fri 9am to 6pm

No experience welcome/Entry level

Job Description

• Receive orders from Customers, create sales orders and shop orders.
• Provide customer support and management of customer order schedule.
• Co-ordinate with Program Management team in providing quotes to customers.
• Consult with Manufacturing Department regarding equipment, manpower, and workload. Participate in meetings to discuss control problems.
• Ensure strategic development and implementation of long-term contracts with supply base.
• Manage and oversee inventories in our warehouse and at customer sites for those 'Kanban' part numbers
• Receive, interpret, discuss, and edit customer and sales orders. Respond to customer inquiries such as product selection and requests for prices and quotations.
• Issue PO to suppliers based on actual order & forecast and expedite for material as required
• Negotiate with suppliers to support cost reduction and Lead time reduction
• Perform other duties as requested by management.

Requirements

• Expediting skills
• Working knowledge of Microsoft Office applications required.
• Working knowledge of ERP database and access database required

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Working location: Orchard

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

JOB DESCRIPTION

• Plan and execute digital marketing campaigns across various channels, including search engines, social media, email, and display advertising.
• Monitor and optimize campaigns to improve performance and achieve KPIs
• Develop engaging and relevant content for digital platforms, including blog posts, social media updates, and website copy
• Coordinate with designers to create visual content, such as graphics and videos
• Optimize website content and structure for search engines to improve organic search rankings (SEO)
• Manage and optimize paid search campaigns (SEM) on platforms like Google Ads
• Manage the company’s social media profiles and create content to increase engagement and followers
• Monitor social media trends and adjust strategies accordingly
• Prepare regular reports and provide insights to inform marketing strategies
• Coordinate with external vendors and agencies as needed

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong communication and writing skills
• Proficiency in using social media platforms and management tools
• Creative thinking and ability to develop engaging content
• Hardworking with high initiative and willing to take on new challenges

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Alexandra

Working hours: 10am to 5pm (Monday to Friday)

JOB DESCRIPTION

· Provide administrative support to the HR department, including answering phones, responding to emails, and managing correspondence

· Maintain and update employee records, ensuring accuracy and confidentiality

· Assist with the recruitment process, including posting job advertisements, screening resumes, and scheduling interviews

· Conduct initial phone screenings and coordinate interview schedules with candidates and hiring managers

· Coordinate the onboarding process for new hires, including preparing new hire packets and conducting orientation sessions

· Ensure new employees complete all required paperwork and understand company policies and procedures

· Support HR initiatives and programs, such as employee engagement activities and training sessions

· Assist with special HR projects and initiatives, such as employee surveys and performance reviews

· Prepare HR reports and presentations as required

JOB REQUIREMENTS

· Minimum Diploma and above

· Strong understanding of HR principles, practices, and procedures

· Strong organizational and time management skills, with the ability to prioritize tasks effectively

· Ability to maintain confidentiality and handle sensitive information with discretion

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278