Information:

1. Salary Range: $2600 - $3000
2. Working hours: 8am - 5pm

Responsibilities:

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Troubleshooting production problems and assisting in planning new project work.

Requirements:

• ITE/Diploma in Mechanical / Mechatronics / Electrical Engineering
• Entry level are welcome to apply

Interested applicants, send in your updated resume by clicking “Apply Now”.

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider KDCH teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.

• To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
• As the Mechanical Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design
• Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval
• Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
• Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
• Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
• Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
• Engagement with Statutory Authorities and Safety Matters
• Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
• Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
• Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval
• Technical solutions and Pre-Sales support to project team during project execution
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively
• Any other scopes as directed by the Technical Solutions Head of Department

Job Requirements

• Master’s or Bachelor’s degree in Mechanical Engineering or equivalent
• Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc
• Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc
• Ability carry out technical solution discussions effectively with multi-function teams
• Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning
• Excellent verbal and written communications skills in English
• Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration

• Cyber security service
• Basic $2800 - $4200
• Mon-Fri (8.30am-6.00pm)
• Working location: Jurong East area
• Company transport provided: Jurong East, Choa Chu Kang

Responsibilities

• Identifying potential markets, industries, and business opportunities.
• Analyzing competitors, market trends, and customer needs to inform strategic decisions.
• Maintaining and nurturing relationships with existing clients to ensure satisfaction and repeat business.
• Addressing client inquiries, resolving issues, and managing expectations.
• Preparing and presenting updates to stakeholders on business development activities, progress, and strategic initiatives.

Qualifications

• Diploma/ Degree in Cybersecurity, Computer Science etc
• No working experience are also welcome.

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R23114214 | Chloe Tan

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

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 the shortlisted candidates will be notified.

Email Address: [email protected]

Are you ready to embark on an exciting journey with a leading global outsourced events and sales powerhouse?

At our dynamic company, we don’t just solve problems – we tackle them with creativity and innovation! Join us as we shape the future of the industry and develop tomorrow’s leaders.

What We're Looking For:

• Thrive in a fast-paced, ever-evolving environment.
• Demonstrate exceptional leadership skills with a passion for collaboration.
• Eager to take on new challenges and grow personally and professionally.

About the Role:

In this role, you'll lead planning and operational initiatives, working closely with diverse teams to overcome obstacles and ensure operational excellence. Success requires strong problem-solving abilities, effective communication, and the capacity to navigate complex, cross-functional challenges.

Responsibilities:

• Grow our client base while nurturing and expanding existing relationships.
• Develop compelling sales presentations and proposals.
• Exceed customer expectations and drive business objectives.
• Build lasting partnerships through innovative, win-win solutions.

Why Join Us?

• Immerse yourself in a dynamic, collaborative work culture where teamwork drives success.
• Unlock personal and professional growth with numerous advancement opportunities.
• Expand your horizons through international networking with our global teams.

Ready to unleash your potential? Join us and embark on a journey of endless possibilities! Apply today!

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 Engineer

• 6 months contract with a possibility of extension
• Work location: CBD

Our Client

• MNC IT company

The Opportunity

• Work across workstreams to support data requirements including reports and dashboards
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes
• Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications
• Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery
• Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming
• Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data
• Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools

Your Background

• More than 3 years of experience in data engineering fields
• Data Engineering skills: Python and Databricks
• Preferably with working experience in AWS cloud

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.
Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.

Job Title: Data Engineer (6-month Contract)

Experience Required: 3-5 years

Key Responsibilities:

• Develop and optimize data pipelines and workflows using Databricks.
• Write and maintain efficient, scalable Python code for data processing.
• Integrate, manage, and process data on AWS cloud infrastructure (preferred).
• Collaborate with cross-functional teams to ensure data quality and integrity.
• Troubleshoot and resolve data-related issues in a timely manner.

Key Requirements:

• 3-5 years of hands-on experience in Databricks and Python.
• Proven experience with AWS cloud services (preferred).
• Strong problem-solving skills and attention to detail.
• Ability to work independently and meet project deadlines.

Data Engineer

• Design, develop, and maintain scalable data pipelines using Hadoop, Apache Spark, and related Big Data technologies.
• Implement ETL (Extract, Transform, Load) processes to manage large-scale data from various sources.
• Collaborate with cross-functional teams to define data architecture, data models, and pipelines that support banking applications and analytics.
• Develop and optimize complex SQL queries for data extraction, aggregation, and transformation.
• Work with business stakeholders to understand banking requirements and translate them into technical specifications for data solutions.
• Implement data quality controls and performance optimization techniques for high-volume data systems.
• Ensure adherence to data governance, security, and compliance guidelines in the banking industry.
• Continuously monitor and improve the performance of existing data solutions, including troubleshooting and debugging issues.
• Contribute to the integration of new tools and technologies in the data ecosystem to support ongoing projects and innovation.
• Experience in data engineering, with a focus on Hadoop and Apache Spark.

Key skills

• Hadoop, Spark, SQL, ETL, Kafka, Hive, HBase
• Strong experience in SQL, including complex queries, optimization, and performance tuning.
• Experience in the banking or financial services industry is highly preferred.
• Proficiency in data warehousing concepts and hands-on experience with ETL tools.
• Familiarity with distributed systems and large-scale data processing.
• Solid experience with Linux/Unix scripting and working knowledge of shell scripting.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of Kafka, Hive, HBase, or other Big Data tools is an advantage.
• Excellent problem-solving and debugging skills.

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

• 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.

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

Requirements:

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong 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

· Strong 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

Position title: Optometrist

Location: Orchard

Working Days: 5 Days [ Rest day & off day fall on weekdays ]

Working hours : 11am - 830pm (Monday to Sunday)

Salary : $3500 - $4200

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities

• Perform eye examinations using specialized equipment for diagnosis and testing
• Provide professional advices and solutions to customers
• Communicate with customers to get detailed case histories
• Present good knowledge when explaining the feature of the contact lens
• Dispense and manage the inventory of contact lens, trials and solutions
• Maintain patient eye health and purchases records
• Maintain good condition of equipment and measuring devices
• Ensure smooth running of daily shop operations
• Reports to Asst Optom Manager.

Requirement

• Minimum Diploma in Optometry
• Fully registered with Singapore Optometrists & Optician Board (OOB)
• Around 2-3 years of experience as Optometrist
• Able to commit retail hours (11am to 830pm) and work on weekends and public holidays

We are seeking an experienced and skilled Procurement Manager to join our dynamic team. In this role, you will be responsible for sourcing required materials, services and suppliers in both domestic and international markets. You will play a critical role in managing procurement activities, ensuring cost efficiency, and maintaining compliance with procurement policies and procedures.

Job Responsibilities

• Source for required materials, services, and suppliers in the domestic and international market.
• Understand purchase requirements and source accurately and efficiently.
• Identify and engage with global prospective suppliers to foster beneficial relationships.
• Understand market trends and seek to improve cost efficiency.
• Perform daily procurement activities such as RFQ/RFP, negotiation of commercial terms, quotations evaluations and recommendations.
• Coordinate procurement related matters with requestors and vendors.
• Prepare and conduct tender process.
• Propose new vendors and evaluate existing vendors.
• Contracts management.
• Working with legal counsel to review and prepare contractual documents.
• Address procurement related queries from internal management and stakeholders.
• Develop and implement procedures and processes, based on best practices, to ensure smooth and streamlined process.
• Ensure compliance with procurement policies and procedures.
• Other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

Job Requirements

• Degree in Supply Chain Management, Procurement, Quantity Surveying, Business, Engineering, or a related field.
• A minimum of 7 years of relevant experience, preferably in a Procurement Department within the Construction, Data Centre, or Network industry.
• Strong knowledge of SAP MM (Materials Management).
• Exceptional interpersonal and communication skills.
• A proactive team player who can work collaboratively to achieve organizational goals.
• Capable of working independently with strong negotiation skills.
• Detail-oriented, analytical, and possesses excellent problem-solving abilities. Excellent team member, proactive in managing issues and possess sense of responsibility and ownership in his/her work and results.

Information:

1. Salary range: $2,600 - $3,500
2. Allowance: $50 Mobile
3. Working Hours: Mon - Fri, 8am - 5pm.; Sat, 8am - 12pm

Responsibilities:

• Servicing, installation, testing & troubleshoot of electrical & mechanical parts at clients' premises/ workshop.
• Access control, able to work under minimal supervision.
• Experience in Security System/Gantry/Door is a plus.

Requirement:

• ITE/Certificate in Electrical / Electronic / Mechanical Engineering.
• Possess a Class 3 license.
• Have a CSOC is a plus.
• Entry level candidates are welcome to apply.

Interested applicants, send in your updated resume by clicking “Apply Now”.

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

Working Location: Central

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

JOB DESCRIPTION

• Gather and compile data from diverse sources, including databases, surveys, and reports, to create a comprehensive view of performance
• Analyze data to identify trends, patterns, and insights that inform strategic initiatives
• Utilize statistical tools and software to interpret complex datasets and deliver clear findings
• Prepare and present insightful reports based on data analysis to stakeholders at all levels
• Create compelling visualizations, charts, and graphs to effectively illustrate key findings and support decision-making
• Provide actionable insights and recommendations that enhance business performance and drive growth
• Collaborate with various departments to understand their data needs and ensure alignment with organizational goals
• Work closely with team members to enhance data collection methods and improve overall analysis processes
• Support ongoing projects by delivering data-driven insights that inform strategies and initiatives
• Stay updated on industry trends and best practices to continually enhance analytical techniques and tools

JOB REQUIREMENTS

• Diploma in Business, Finance, or a related field
• Strong analytical and problem-solving skills
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint)
• Basic knowledge of data analysis tools (e.g., SQL, Python, R) is a plus
• Good communication and presentation skills

EA Reg. Number: R21100629

EA License Number: 22C1278

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.

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.

1. Data Pipeline Construction

• Design, develop, and maintain data pipelines, ensuring a smooth flow of data from multiple sources to data warehouses or lakes.

• Enable, maintain, and support pipelines to provide unified and reliable data sources.

2. Data Architecture Design

• Responsible for designing and maintaining data architecture.

• Use technologies, databases, and storage solutions to handle data efficiently and securely.

3. ETL Processes

• Perform Extract, Transform, Load (ETL) operations: - Extracting data from various sources - Transforming raw data into a structured format - Loading the processed data into storage systems for analysis

4. Data Quality Assurance

• Implement data cleaning and validation processes to enhance data accuracy and consistency.

• Monitor data quality and optimize performance to ensure reliable and usable data for analysts and data scientists.

5. Scalability and Optimization

• Design systems that can handle large volumes of data,

• Ensure scalability of data infrastructure.

• Improve and optimize data storage and retrieval.

6. Data Governance

• Implement data governance and security measures to ensure compliance

• Create, manage, and implement policies, standards, and documentation

7. Data Analytics & Reporting

• Project Management of Data Analytics deliverables

• Create, publish, and admin Power BI reports and dashboards

• Delegate, Manage, and Coordinate with the extended Data Analytics team

Mandatory Skills

1. Programming

• Python

• SQL

• ETL

2. Database Management

• MS SQL Server Environment

• Data integration tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics

3. Power BI Expertise:

• DAX, Power Query, and creating advanced data visualizations.

• Experience in Data Modelling techniques 4. Azure Cloud Environment

• Proficiency in Azure cloud platform, including

• Azure SQL Database, Azure Data Lake Storage

• Azure Analysis Services

• Azure Data Studio

5. Useful experiences

• Machine Learning

• Artificial Intelligence

6. Required Soft Skills

• Problem-solving

• Collaboration

• Communication

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

• Strong programming skills in languages such as Python, Java, or Scala

• Expertise in SQL and experience with both relational and NoSQL databases

• Proficiency in data modeling and database management

• Experience with big data technologies like Hadoop, Spark, and Kafka

• Strong experience in Azure cloud platforms

• Knowledge of data warehousing concepts and technologies

• Experience with ETL tools and processes

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• 5+ years of relevant experience in data engineering, data analytics or must have been in a similar role

Preferred Skills

• Azure Data Engineer certification

• Azure Data Analytics and PowerBI certifications

• Experience with AI/ML will be advantageous

• Strong experience in data visualization tools and techniques

• Familiarity with agile delivery methodologies

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

Why choose your career with us?

Culture:

We work with vibrant and enthusiastic individuals that constantly seek to outshine the best! We welcome creative and innovative ideas from each and everyone. Team work makes the dream work!

Advancement & growth opportunities:

You’ll have the opportunity to grow and advance! We are part of a larger organization in 7 other countries, theres going to be upward advancements and rewarding opportunities. We provide a platform for you to learn and develop with no experience needed!

Your responsibilities:

- Follow up with leads

- Overcoming challenges and don’t be afraid to make mistakes

- Basic professionalism and communication with customers

- Brainstorm with top performers to executive strategic planning

People we are looking for:

- Solution finders

- Excellent listening skills and communication skills

- Great work ethics and learning attitude

- Team oriented individuals

Apply to stand a chance! Only shortlisted candidates will be notified.

Job Description:

• Collaborate with other developers and engineers to design, build, and maintain applications.
• Develop end-to-end specifications for solution components.
• Perform testing and implementation of the solution.
• Troubleshoot software issues and participate in impact analysis of encountered issues.
• Generate relevant documentations, reports etc.
• Contribute to continuous improvement of software development best practices.
• Keeping up-to-date with industry trends and technology developments.

Requirements:

• Degree in Computing/ Computer Science/ Computer Engineering/ Info Systems / EEE or equivalent
• Entry level candidates with good learning attitude and relevant experience can be considered.
• Familiar to full-stack development and understand concepts of software engineering.
• Knowledge of Agile Development methodology.
• Knowledge of basic coding languages such as C++, Javascript, HTML5 and Java
• Basic programming experience.
• Knowledge of databases (SQL / NoSQL).
• Comfortable using AngularJS, NodeJS, ReactJS and other common frameworks to develop software for various platform.
• Ability to learn new software and technologies quickly.
• Ability to follow instructions and work in a team environment.
• Good team player with critical thinking, analytical and creative problem-solving skills.
• Detail-oriented.
• Candidates with more professional/complexity of experience can be considered for the senior role

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Lead APAC strategy to drive recruitment & retention

• Co-build with the market a strong CRM omnichannel strategy to drive repurchase and loyalty, and develop a year round CRM action plan aligning with our APAC priorities
• Work with markets to animate campaigns, support CRM activities and/or mechanics to target relevant customers groups (Club Clarins, VIPs, prospects, Make up vs Skincare…).
• Oversee and develop the Loyalty strategy (Club Clarins Program) together with Global and countries, support countries in the evolution and animation of their Club Clarins Program (Tiers, brand identity, Member’s day) & Loyalty Engine
• Drive cross-product segments/categories link-selling and penetration through best practice sharing focusing on key product campaigns and customer segments
• Propose operations & mechanisms to increase contractibility (mobile and email opt-in in markets) and improve main KPIs : decrease churn rate & Increase New Customer Repeat rate
• Develop and implement the CRM loyalty program, membership campaigns and marketing automation rules to achieve customer retention and loyalty KPIs
• Oversee the setup and implementation of triggers campaigns, including recommending the target audiences for campaigns based on briefs submitted by markets

Drive Analysis & insights related to the customer

• Utilize CRM & CX data to generate insights, track KPIs and drive actionable recommendations and strategy to improve customer interaction and retention.
• Support marketing teams to understand Customer behaviour (retention, cross sell, link sell…) for specific product launches or campaigns.
• Support other transversal teams (Retail, E-commerce) for deep dive into customer profiling (Mega campaign, new store…)
• Continuously track key performance metrics of customer database and measure the impact of CRM initiatives, to evaluate effectiveness as well as for reporting to key stakeholders.
• Analyze customer purchase patterns, migration of customers, and recruitment of new customers per channel and retention of existing customers to support APAC main CRM KPIs
• Advise and challenge markets to develop strong customer knowledge within CRM teams
• Generate insightful reports, post-campaign analysis to optimize the strategy and its implementation
• Performs Consumer Journey Mapping and analyzes business touch-points in order to increase the business’s commercial opportunities

Drive Clientelling strategy, approaches and manage customer development and acquisition initiatives in close collaboration with Retail & training teams

• Creation and execution of regional Clientelling strategy, plan and tools based on global strategy and local needs
• Champion in-market understanding, adaptation, and roll-out of new/existing tools, data, training, and programs across retail stores and remote selling
• Deliver the development and management of strategies for attracting new clients.
• Drive client development, lifecycle planning and new Clientelling tactics to grow business from existing clients
• Strong collaboration with Marketing, Retail & Training team to create synergies and workflows focused on customer centricity
• Provide data-driven insights into customer behavior to inform business strategies, including analysis by profile, segment, and product line
• Setting up of CRM benchmarks and then regular monitoring of loyalty and customer metrics.
• Support other teams (CX, EC, marketing) in leveraging the Clientelling tool
• Propose evolutions & recommendations to constantly improve the outreach and the features of the tool

Drive Customer Experience strategy

• Define in line with Global the APAC customer care guidelines & strategy
• Support the implementation of AI chatbot, Line, Kakao, and other global tools across APAC Customer Experience teams
• Analyse and share internally (local & global) Customer Care KPIs, NPS and SLAs
• Recommend APAC customer voice strategy & evolutions by listening to voice call records, customer verbatim/reviews from NPS/CSAT
• Analyse and recommend actions/evolution to enhance the consumer experience on Clarins.com based on customer care insights

Oversee APAC market’s CRM platforms & tools

• Support APAC project team and Global teams to implement CRM projects (Clientelling, customer care) that align with local market needs
• Be a key partner for the successful installation / roll-out of the new & best in class tools in APAC
• Ensure the relevancy and effectiveness of local CRM tools in managing customer data, segmentation and targeted campaigns taking into consideration local specificities
• Ensure compliance and security with data protection and safeguard customer data and will also stay with industry trends, emerging technologies and local channels and specificities
• Master all key CRM tools from a business user point of view (Loyalty, Clientelling, Campaign management…)

Lead and animate APAC’s local CRM & CX teams

• Be the regional center of excellence for CRM, data analytics and CX and the champion of consumer intimacy in the region
• Work closely with transversal teams (CRM, Marketing, Retail, EC) and stores to always ensure a deep understanding of the consumer
• Collaborate with Global teams (HQ in France) to represent APAC needs and local specificities and ensure global tools and strategies are always up to date
• Train and animate APAC markets, guide them on CRM practices and tools and techniques to maximize efficiency and productivity

Other responsibilities may be added to the above, which are consistent with the title Senior Manager - CRM, CX & Consumer Data, Asia Pacific

YOU HAVE:

• Preferably Business Degree, focus on CRM/Customer Experience/Business management/Marketing
• 10 years of experience in B-to-C CRM, analytics & Digital (both on and offline), preferably retail industry
• Strong presentation skills with excellent written and verbal communication skills
• Customer-focused, results-oriented and passionate about customer engagement
• Strong interest in understanding consumer insights and behaviour, with an eye for detail and a broad sense of perspective
• Expertise in CRM lifecycle planning, and experience in Loyalty program management
• Good proficiency in Marketing Automation (Adobe Campaign preferred)
• Knowledge of data visualisation tools (Qlik Sense or Tableau)
• Good with numbers, have strong analytical skills and problem-solving capabilities
• Digitally-minded with an awareness of online trends and innovations
• Ability to communicate clearly and create good relations with others
• Strong collaboration and influence skills, being open minded and adaptable, eager to embrace new challenges

WE HAVE:

• Close to 70 years of expertise in beauty and spa, with the Clarins and myBlend brands
• Unique products and innovative services
• A commitment to Social & Environmental Responsibility embedded in our raison d'être
• A caring and inclusive corporate culture
• Development and training opportunities
• Attractive compensation and benefits
• A flexible work environment, with up to 2 days of remote working per week

If you have a curious mind, a thirst to go further and the drive to boldly take on new challenges, join us.

At Clarins Group, we believe in making life more beautiful for our employees and our customers. Inclusion and diversity are firmly grounded in our core values, which are part of our DNA. We strive to achieve inclusiveness and we foster an equal-opportunity culture where everyone can reach their full potential and do their best work. We welcome applications from all backgrounds.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kuan Yew School of Public Policy is a leading public policy school in Asia, part of the National University of Singapore. Its mission is to improve governance in Asia, and improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD programme, as well as executive education programmes for policymakers in Asia and beyond.

The School and the University place strong emphasis on teaching and learning. To serve the educational mission of the School and the University, the Educator Track has been designed to bring together and support the career pathway of outstanding educators. Faculty on the Educator Track will be expected to teach as well contribute to the broader educational mission of the School. At more senior levels, they are expected to lead on pedagogical innovations and in teaching and learning matters. A research background in a primary disciplinary domain is valued. Scholarly research on pedagogy and teaching is a bonus, but not mandated. Although the NUS Educator Track is not a tenurable line, it has a route towards an Associate Professorship on an open contract, along with the possibility of funding for overseas conference travel.

The LKY School invites applications for the following full-time positions on the Educator Track:

• Lecturer/Senior Lecturer in Public Finance & Budgeting (disciplinary field – Economics or Public Administration)
• Lecturer/Senior Lecturer in Data Analytics or Advanced Methods/Tools, with an ability to teach R and Python preferred (disciplinary field – Public Administration, Public Management, or Public Policy)

Applicants for Senior Lecturer positions must possess a PhD degree as well as at least five years teaching experience and demonstrated impact in higher education settings. Candidates for Lecturer positions should have a PhD degree, and prior teaching experience in higher education settings would be advantageous.

The appointments of Senior Lecturer and Lecturer will be for an initial period of 3-5 years and 2-3 years, respectively, ideally beginning January 2025, with the possibility of contract renewal based on performance and the school’s teaching requirements.

Application

To apply, please provide a detailed resume and a cover letter describing your background and preparation for the position, your teaching interests, and your potential contributions to the school.

Interested candidates are encouraged to find out more about the National University of Singapore and the LKY School at www.lkyspp.nus.edu.sg.

Required Documents

• Detailed curriculum vitae, including details of education, employment history, past experience of teaching and supervision, research activities (including publications) and achievements, honours and awards, and service accomplishments.
• Cover letter.
• Teaching statement.
• A teaching portfolio with sample classroom exercises and recent student or peer teaching evaluations.
• Three letters of reference.

Only shortlisted candidates will be notified.

Job Summary

• To support customer / business name data clean-up

Key Accountabilities

• Completion of data cleaning by assigned deadline.

Key Job Requirements

• Understand and work with Excel.

• Able to work with large data files.

• Good attention to detail

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!

Interested candidates please submit your resume to [email protected]

Jace Choo Oi Kei

Personnel EA License No.: R1875164

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

About the team

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role

As Data Engineer, you will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Responsibility

1. Architect efficient, scalable and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data;

2. Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry;

3. Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches;

Qualifications

Minimum Qualifications:

1. Bachelor's or Master's degree in Computer Science, Engineering, or related field;

2. Experience in data engineering, with demonstrated expertise in building scalable data pipelines and infrastructure;

3. Proficiency in programming languages such as Python, SQL, and Java;

4. Experience with big data technologies such as Apache Spark, Hadoop, and Kafka.

Preferred Qualifications:

1. Strong understanding of database systems, data warehousing, and distributed computing concepts;

2. Excellent communication, and interpersonal skills.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.