Total 9,522 Others/Any data entry job vacancies in Singapore

Working location: Telok Ayer

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

JOB DESCRIPTION

• Work in various departments (e.g., marketing, operations, finance) to gain a broad perspective of the business
• Perform assigned tasks and projects in each department to gain hands-on experience
• Participate in structured training programs and workshops
• Gain a thorough understanding of the company's operations, policies, and procedures
• Assist with planning and executing business projects
• Prepare reports and presentations based on findings
• Support daily operations and contribute to process improvements
• Develop leadership and managerial skills through mentorship and coaching
• Take on increasing responsibilities and demonstrate initiative
• Assist managers with administrative tasks and other duties as required

JOB REQUIREMENTS

• Minimum Diploma and above
• Willing to learn and flexibility to adapt to working environment
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

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

JOB DESCRIPTION

• Review resumes and applications to pre-screen candidates based on job requirements and qualifications
• Conduct initial phone screens to assess candidate fit and interest in the position
• Schedule interviews between candidates and hiring managers, ensuring availability and minimizing conflicts
• Send follow-up emails, feedback, and next steps to candidates post-interview
• Maintain accurate and up-to-date records in the applicant tracking system (ATS) and other recruitment databases
• Ensure new hire documentation is completed accurately and submitted on time
• Assist in organizing and coordinating recruitment events, such as job fairs, campus recruiting, and open houses
• Represent the company at recruitment events, providing information about job opportunities and company culture

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong organizational and time management skills, with the ability to handle multiple tasks and priorities
• Good communication and interpersonal skills, with a customer service-oriented approach
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

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

JOB DESCRIPTION

• Consolidate and analyze financial data (budgets, income statement forecasts etc.) taking into account company’s goals and financial standing
• Provide creative alternatives and recommendations to reduce costs and improve financial performance
• Assemble and summarize data to structure sophisticated reports on financial status and risks
• Develop financial models, conduct benchmarking and process analysis
• Conduct business studies on past, future and comparative performance and develop forecast models
• Identify trends, advise company and recommend actions to a senior financial analyst based on sound analysis
• Gain and update job knowledge to remain informed about novelty in the field
• Consult with management to guide and influence long term and strategic decision making within the broadest scope
• Drive process improvement and policy development initiatives that impact the function

JOB REQUIREMENTS

• Minimum Diploma and above
• Willing to learn and flexibility to adapt to working environment
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Company benefits:

• Guaranteed AWS
• Fixed monthly attendance allowance + OT pay eligible
• Performance bonus
• Increment after probation (subject to performance)
• 1 year cash completion bonus

Work location: Woodlands

Working hours: 12 hours shift work, (4 days work, 3 days off | 3 days work 4 days off)

Job Responsibilities:

• New & old parts arrangement & logistic (maintenance room, store to tool side).
• Preparation & housekeeping of PM jigs & tools.
• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc.
• Installation of vacuum valves, fore line pipes, heater jackets.
• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation.
• Support 6S & logistic activities (parts cleaning, arrangement, labelling, housekeeping.

Requirements:

• Min. NITEC in any Engineering field or equivalent certification
• Willing to do hands-on work and comfortable to be in cleanroom suit
• Work experience in semiconductor industry will be an added advantage
• Able to work on weekends

WhatsApp me @ wa.me/658512 5305 for a prompt response to your enquiry!

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please by notified that only shortlisted candidates will be informed.

Your recruiter for this job: Stella
Stella Aw Yong See Hui | R24121552
Recruit Now Singapore Pte Ltd | EA No: 21C0845

Working Hours: 5.5 days office hours + Rostered on call (1 week every 2 months)

Location: Central

Job Scope:

- Assist the Radiologist/Cardiologist and other Specialists in Diagnostic Imaging procedure and invasive procedure in CVL. Also inserts brannula at radiologists instructions for contrast examinations.

- Prepare sterile trolleys and sets up equipments/ accessories for Diagnostic Imaging and CVL procedures.

- Perform Newborn Hearing Screening and ECG.

- Ensure that patients fill up the Consent Form for special examinations such as MRI, IVP, CT Scan and other invasive procedures etc

- Ensure that all special preparation for diagnostic imaging is instructed to ward staff/ patient or relatives and complied with.

- Explain the procedure of the special examination to patients and reassures patient whenever required.

- Help patients to get changed for radiography procedure.

- Ensure that all medication chart and documentation notes are filled in properly for the procedure

- Check Emergency Trolley for expiry dates of drugs and instruments.

- Conduct monthly departmental inventory check.

- Ensure that there is an adequate stocks of surgical and pharmaceutical products, dry store, kitchen store and C.S.S.D. store.

- Assist at the reception when necessary.

- Attend and contributes to departmental staff meetings.

- Participate in departmental activities such as quality assurance and performance appraisal.

- Undertake other duties and tasks as might from time to time be requested by the Manager.

Job Requirements:

- Min. Diploma/ Degree in nursing

- Valid SNB & BCLS

For interested applicants, please send your updated resume to: [email protected]
All candidates’ information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599

Job Responsibilities:

• To be responsible for driving and utilizing data analytics to develop intelligent insights for AML programs which includes customer risk-profiling, enhanced name screening, advanced on-going monitoring and management information system

• To work with multiple stakeholders to obtain data and deliver outcomes

• To work with large data sets and visualize outputs, ensuring data accuracy and good segmentation of data sets for tactical data mining tasks

• To perform documentation of methodology and outputs of data analytics and perform model validation

• Break down complex issues and develop solutions through data analytics, and present the findings in a structured and explainable manner

• Leverage on data analytics to support overall AML strategies to meet MAS regulations and expectations

• Use advance data modelling and analytical techniques to interpret key findings and leverage these insights in initiatives to improve efficiency and effectiveness of AML program

• Deliver MIS dashboard to facilitate AML compliance oversight and reporting

Job Requirements:

• Bachelors or Masters Degree in a quantitative field (e.g. Statistics) • Fresh grads, 0-5 years of experience are welcome to apply

• Internship experience or working experiences in relevant data analytics role

• Experience in financial crime compliance is an added advantage but not a must

• Proficient in SQL and Python

• Proficient with MS Office and Google Suite

• Detailed and process orientated

• Ability to think innovatively

• Ability to present complex ideas in a concise and simple manner

• Ability to work under tight timelines

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

We are looking for product manager/data business analyst to build a platform in order to power the monetization business with unstructured data. The end-to-end product will need to drive the scaling of data labelling / annotation through automated processes and deliver significant measurable impact with the least possible cost (labelling productivity and efficiency).

What You'll Do

As a product owner, what you will do

1. Develop and implement the product strategy and roadmap;

2. Conduct market research, competitor studies, and gather customer feedback and translate them into product design;

3. Define and prioritize product features based on business goals and customer needs, design screen mockups through figma, deliver PRDs that illustrate design clearly, present with developers;

4. Conduct user acceptance test;

5. Monitor product performance and iterate based on user feedback and market trends;

6. Collaborate with cross-functional teams to ensure successful product launches and ongoing development.

Qualifications

Minimum Qualifications:

1. Bachelors/Master's degree in related business or technical field, or equivalent (preferably in Computer Science);

2. 3 years of working experience with at least 1 or 2 years of product management experience;

3. Ability to develop long-term product vision and roadmap and translate into executable deliverables and milestones;

4. Knowledge and passion for technical and platform product management experiences;

Preferred Qualifications:

1. Experience in driving elements of product development life cycle from vision to execution (i.e., product vision, GTM strategy, driving requirements and product launch);

2. Experience working on large scale platforms to drive growth, retention, and engagement initiatives for cloud/enterprise and/or developer areas.

3. Excellent customer-facing written and verbal communication and presentation to stakeholders and executives;

4. Ability to influence & guide cross-functional teams without authority (e.g. Engineering, UX/UI, Program Management etc.)

5. Familiar with PRD writing(e.g. wireframes, figma, swimlane diagram, sequence diagram etc.) and functional design.

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.

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

· Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.

· Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.

· Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.

· 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.

· 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

· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

· At least 10 years of 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, Ranger, 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 Grafana, 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.

Job Description:

• Applied Data Science on Test Yield Analysis & Improvement OpportunityProduct Test Yield and Key Test Parameters Analysis in relationship & correlation to Fab WET data or Wafer Probe Die Sort Data
  Develop a predictive model of product test yield based on available key Fab, Sort monitoring data
  Leveraging on advance data analytics and Artificial Intelligence technique to enable speed of detection, prevention and prediction
  Collaborate with respective product owner PE to drive yield improvement opportunity based on big data analysis or specific excursion with timely detection of abnormality
  
• Quality Monitoring Data & Customer Complaint Analysis in relations to Test Information & Manufacturing Process DataAnalyze real-time monitoring data abnormality (Maverick) detection & prevention measures effectiveness for applicable semiconductor manufacturing processes.
  Leverage predictive analytics to trigger interventions that reduce the risk of yield loss or quality issues.
  Collaborate with respective product owner PE to drive out-quality improvement opportunity based on big data analysis & predictive quality risk
  
• Collaborate with Manufacturing Site to Drive Data-Driven Process Optimization for Yield and Quality ImprovementWork closely with on-site Product, Test or Process engineers to analyze production data, identify trends, and optimize manufacturing processes.
  Use data science techniques to reduce variability and improve overall product quality.
  Leverage on machine learning models application opportunity in Fab, Die probe, Die-to-Reel, Assembly, Test, Tape & Reel process for total continuous improvement & innovation.
  
• Failure Mode Analysis & Customer Risk/RMA MitigationEnhance product quality & reliability by developing predictive models that assess the potential quality risk to customers. Use insights from these models for disposition decision making to ensure compliance with quality standards.
  Collaborate with quality, process, product engineer on in-depth failure mode and effects analysis (FMEA) using historical and real-time data to predict and mitigate potential defects.
  Collaborate with manufacturing teams to implement corrective actions based on predictive insights.
  
• Additional Responsibilities:Track wafer and package yield trends on a daily basis
  Leverage 2DID and Die Level Traceability to perform novel analyses and move yield/quality issues upstream to wafer level whenever possible
  Identify opportunities for cost reduction
  Generate analyses aimed at highlighting device sensitivities and interactions between design/fab/assy/test
  Leverage all available test points to detect anomalies, shifts, drifts, outliers, maverick events as close to the Point of Occurrence as possible
  Identify opportunities for cost reduction
  Monitor/Report on KPI's and facilitate data-driven decision making
  

Requirements:

• Domain Expertise:Bachelor’s or Master degree in Data Science, Computer Science, Electrical Engineering, or a related field, with specialized knowledge in semiconductor manufacturing processes. Experience in predictive analytics for yield and quality in semiconductor fabs is highly desirable
  
• Technical Skills:Proficiency in programming languages such as Python or R, with preferred experience in machine learning libraries and statistical modeling. Strong background in data analysis, including the use of big data technologies and cloud platforms
  
• Experience with Semiconductor Manufacturing:At least 3 years of experience working in semiconductor manufacturing, particularly in roles focused on process monitoring, yield improvement, and quality control. Familiarity with Fab, Die probe, and Assembly processes is essential
  
• Analytical and Predictive Modeling Expertise:Proven track record in developing and deploying predictive models for yield analysis and quality assurance. Experience with tools like JMP, Minitab, or similar for statistical process control (SPC) and predictive maintenance is a plus.
  
• Cross-Functional Collaboration and Communication:Strong communication skills to effectively collaborate with process engineers, quality assurance teams, and other stakeholders. Ability to translate complex data insights into actionable strategies that improve product yield and quality.
  

Interested applicants, please apply via our corporate website under the requisition number 8439 at http://www.qorvo.com/careers/ with a copy of your detailed resume. ​

Job Purpose

The primary role of the Relationship Manager is to build trust based and value added relationships with key clients within the accounts they manage. Relationship Managers are considered a key strategic point person that can speak on a strategic level with their assigned customers and represent all aspects of ICE Data Services. RM is measured on revenue retention and growth with the goal of strengthening and enhancing long term client relationships.

Responsibilities

• The RM will be responsible for all ICE Data Services revenue across all lines of business. They will become proficient across all products and services.
• Their main responsibility will be to manage and grow existing revenue base and mitigate risk and erosion to assigned base of accounts.
• Build relationships at all levels including c-suite.
• The RM will work closely with the Global Relationship Manager (GRM) and the Regional Sales Executives (RSE) or Sales Manager to further the strategic vision of the account, bring in RSE/GRM to new opportunities that the RM may uncover.
• Collaborate on account strategy and run point on large complex renegotiations on existing business.
• The RM will take on a leadership role in the coordination of internal resources to ensure the successful execution of client initiatives and problem resolution.

Knowledge and Experience

• Minimum of 7 years of experience working within the financial services industry
• Minimum 7 years of account relationship experience.
• Bachelor’s degree is required.

Schedule

This role offers work from home flexibility of one day per week.

Job Descriptions：

• Responsible for the operation and maintenance of mobile equipment in idc
• Responsible for the operation and maintenance of the Linux server/switch/AP in idc
• Responsible for the operation and maintenance management specifications of idc

Job Requirements

• Understand common Linux maintenance commands, Android device flashing, etc. ADB instructions are preferred
• Basic understanding on Network Protocols, and server operation in Linux OS
• Excellent communication skills (oral and written) in English. Being able to converse in Mandarin and write will be a bonus.

Job Description

Intercontinental Exchange, Inc. (ICE) presents a unique opportunity to work on cutting-edge technology and business challenges in the financial sector. The ICE Network Engineer provides leadership in network design, deployment, maintenance, and operational supports. The successful candidate will be able to multitask in a dynamic team-based environment demonstrating strong problem-solving and decision-making abilities and the highest degree of professionalism.

The Lead Network Engineer is an important role within the organization serving as a technical leader for Analysts and Engineers. The lead engineers are subject matter expert in parts of the network eco-system enabling them to handle complex issues. The engineer is fully involved in the project work, taking ownership of large network deployments from the design phase to the implementation, documentation, and support handover.

Along with having larger domain knowledge and advanced trouble-shooting skills. The Lead Engineer will be looked upon as an informal trainer to Analyst and Engineers, using every encounter to share knowledge and recovery tips with Engineers, better equipping them to handle similar issues in future. All interactions with the clients, colleagues and vendors must remain highly professional, helpful, and proactive.

Responsibilities

• Design, deploy, support, and maintain mixed vendor network infrastructure.
• Assist ICE staff with problem solving and escalation procedures.
• Understand and follow operational policies/procedures and promote adherence to same
• Provide technical knowledge needed to ensure safe, effective, and efficient changes to the network infrastructure.
• Assist with development of policies and procedures for maintaining network infrastructure.
• Collaborate and work closely with all other IT teams.
• Lead Incident investigations, diagnosis, and service restoration and always give priority to the resolution of incidents.
• Provide consultation (troubleshooting, designing, on-boarding, risk mitigation, operational improvement) for areas of domain strength.
• Informal Trainer to Level II; ensures Level II skills are constantly growing through support and guidance.
• Participation in 24/7 on-call rotation if needed.

Knowledge and Experience

• Advanced knowledge of Cisco, Juniper, Arista and other vendor equipment and configuration
• Advanced knowledge and experience with Routing Protocols (BGP, ISIS, OSPF, etc.)
• Strong experience in MPLS and Traffic Engineering
• 10+ years’ experience hands on support and troubleshooting of networks.
• 6+ years’ experience with design and implementation on complex networks
• Understanding of network management, security, and monitoring
• Excellent writing and documentation skills
• Excellent customer service attitude
• Ability to operate effectively and professionally under pressure.
• Bachelor’s degree in computer science, Information Technology, or a related field

Preferred

• Experience working on financial and HFT networks.
• Strong experience in Multicast in switched and routed networks
• Expert level network certifications: CCIE, JNCIE. Etc.
• F5, Checkpoint, or Palo Alto advanced certification
• Automation and scripting experience
• Unix/Linux system administration
• Running and analyzing sniffer traces with deep TCP/IP protocol understanding.
• Ability to grasp very complex architectural concepts.
• In-depth hardware knowledge of switches and routers: (Internal chipsets specifications, TCAM and memory details, buffering capabilities and multicast replication details).
• Master’s degree in computer engineering or related field preferred but not needed.

Schedule

This role offers work from home flexibility of one day per week.

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]

Job Description & Requirements

• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Frontend Developers, UX Designers and Data
• Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Bridge the gap between engineering and analytics.
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Work closely with fellow developers through pair programming and code review process

Requirements:

• Experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation
• Proficient in general data cleaning and transformation (e.g. pandas, pysparks, SQL)
• Knowledge in database design and various databases (e.g. structured dbase(postgres, mysql etc and unstructured -mongodb etc)
• Knowledge about system design, data structure and algorithms
• Knowledge with rest api and web requests/protocols in general
• Comfortable coding in at least 2 scripting language (eg. Python/SQL)
• Comfortable working in both windows and linux development environments
• Interest in data engineering in a big data environment using Cloud
• platforms (i.e. AWS, Azure, Google Cloud)
• Familiar with data modelling, data access, and data storage infrastructure like Data
• Mart, Data Lake, and Data Warehouse.
• Proficient in creating comprehensive data dictionaries to ensure clear and consistent data definitions.
• Skilled in designing Entity-Relationship Diagrams (ERDs) to visually represent data models and relationships.
• Capable of collaborating with stakeholders to understand business processes and develop effective data solutions.
• Familiar with BI Tools such as Tableau
• Familiar with Docker containers

Job Responsibilities:

• Conduct data analysis and generate performance reports for estate sub-systems.
• Develop data processes workglows and analytics programs.
• Build Machine Learning algorithms and apply statistical methods to extract insights for Smart Estate applications.
• Extract data from existing Building Management Systems using BACnet and Modbus protocol.
• Design and implement ETL pipelines to transform raw data into analysis-ready formats.
• Maintain and enhance data aggregation and ingestion processes using .NET and Python.
• Identify ways to improve data reliability, efficiency and quality.
• Ensure compliance with project requirements, performance standards, and specifications.
• Perform quality control and regularly report on project status.
• Collaborate with Product Development and Operation team to support succesful implementation.

Job Requirements

• Bachelor’s Degree or equivalent in Electrical/Electronic Engineering or Computing Engineering, Information Technology or related field.
• Minimum 1 year of work experience in data engineering across diverse projects.
• Proficient in Python, MSSQL and PostgreSQL programming.
• Strong knowledge of data science and data management.
• Knowledge in BMS communication protocols (BACnet and Modbus) is a plus.
• Experience with Data Management and ETL process is preferred.
• Strong logical and analytic skills.
• Able to work independently and efficiently in a fast-paced environment.

• Work closely with data stewards, data analysts and business end-users to implement and support data solutions.
• Design and build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python.
• Familiar with SDLC process: Requirement gathering, design and development, SIT testing, UAT support and CICD deployment for enhancements and new ingestion pipelines.
• Ensure compliance with IT security standards, policies, and procedures.

Skills (must have):

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on the development and support of data ingestion pipelines.
• Experience with building on data platforms, particularly Snowflake.
• Proficient in SQL and Python.
• Experience in continuous integration and continuous deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design, implement solutions and perform code reviews.
• Agile, fast learner, and able to adapt to changes.

Skills (good to have):

• Experience with Cloud environments (e.g. AWS).
• Experience in Java.
• Experience in ETL tools (e.g. Informatica).

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

We specialize in representing top-tier clients, creating awareness and driving their sales growth through face to face marketing.

What you will be doing

• Engage with customers and promote products at events and roadshows
• Oversee event operations to ensure everything runs smoothly

What we offer

• A fun team that u can grow together with
• Travelling opportunities for selected individuals
• Personal training to improve your sales and leadership skills
• Uncapped earnings - Performance based!

Ideal candidate profile

• A highly motivated individual with a strong willingness to learn
• Someone with a keen drive to increase their income and invest in personal development

Responsibilities:

Implement ethical sales techniques at events and roadshows.

Drive growth through creative sales strategies.

Provide excellent customer service and represent the brand positively.

Collaborate with the team to achieve sales goals and develop leadership skills.

Qualifications:

Adaptable, proactive, and eager to learn.

Strong communication skills and a team-player attitude.

What We Offer:

Clear career advancement opportunities.

Vibrant, collaborative team culture.

Recognition and rewards for achievements.

Who We Are:

We are a leading international sales and marketing company, known for delivering outstanding results. We are committed to creating a dynamic and collaborative work environment where individuals can thrive and grow.

If you're ready for an exciting career in sales and marketing, apply now! Fresh graduates are welcome to join.

Job Details

• Full-time position with comprehensive benefits (Annual leave, medical benefits, variable bonuses)
• Monday to Friday 8.30 am-5.30 pm
• Located in the East area;
• Proficiency in Business reporting is a must-have, Data Crunching with expertise in SQL, Power BI, Microsoft Excel (including Pivot tables and V lookup), Tableau, Python.

Job Responsibilities:

• Develop and manage data warehousing and dashboards for Sales, Procurement, Inventory, Warehouse, AR, AP, and GL modules.
• Lead and execute BI projects, ensuring timely Go Live and seamless integration.
• Utilize Microsoft SQL Server Integration Services (SSIS) for efficient data warehousing and reporting.
• Strategize and plan the BI roadmap to support smooth organizational operations.
• Conduct regular reviews of BI projects, providing progress updates to management.
• Maintain BI servers and data marts to ensure optimal performance and reliability.
• Collaborate with stakeholders, manage vendors, and prioritize projects for high-quality deliverables and maximum ROI.
• Implement information security policies across IT functions and address any identified gaps.
• Foster a high-performance culture within the technology services team, optimizing resource allocation and conducting performance appraisals.
• Ensure solutions are thoroughly tested, meet specifications, and adhere to timelines from request to deployment.
• Lead IT management activities, including Application Management, Project Management, and Vendor Management.
• Oversee all projects, ensuring adherence to management principles and effective risk management.

Requirements:

• A hands-on role with at least 5 years of experience in a similar position, with broad functional expertise, preferably in the retail industry, and technical expertise in BI Tools and all facets of IT management and technology trends.
• Working knowledge of business process design and conceptualization skills are essential.
• Must know MS SQL/SSIS, and knowledge of Crystal reports/Qlik View/Excel VBA/Python is an advantage.
• Experience with Navision is an advantage.
• Essential skills in Microsoft Office, including Word, PowerPoint, and Excel.

Interested applicants, please send your resume

to [email protected] or press "APPLY NOW"

Align Recruitment Pte Ltd (20C0253)

Tee Siew Mei (Reg No: R1219651)

Morgan McKinley is seeking a Data Engineer for a 6 month contract assignment with a possibility to extend or to go perm!

Responsibilities:

• Collaborate across multiple workstreams to gather and support data requirements for reports and dashboards.
• Analyze and perform data profiling to identify data patterns and discrepancies, adhering to Data Quality and Data Management processes.
• Follow best practices in designing and developing end-to-end data pipelines, including data transformation, ingestion, processing, and surfacing of data for large-scale applications.
• Utilize Azure technology stack to develop and automate data pipelines with Databricks and Data Factory.
• Translate business requirements into technical specifications for system analysts and technical teams to facilitate project design and delivery.
• Conduct source data analysis and perform data ingestion in both batch and real-time patterns using various methods such as file transfers, APIs, and data streaming (Kafka and Spark Streaming).
• Develop ETL processes with Spark to transform and standardize data according to business needs.
• Create data exports, data APIs, and data visualizations using tools like Power BI, Tableau, or other visualization platforms.

Qualifications:

• 3 to 5 years of experience in data engineering, specifically with Databricks and Python.
• Strong proficiency in Python and Databricks is essential.
• Experience with AWS cloud technologies is preferred.
• Familiarity with data processing, ETL development, and data visualization tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate with technical and non-technical teams.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

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Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services.

The opportunity

With our Data & Analytics team in FSO experiencing rapid growth, now is an exciting time to join us on this journey. We are looking for talent with a passion for data and the know-how to partner with our to clients to disrupt and transform Financial Services organisations.

We are seeking a skilled Data & AI Engineer to join our dynamic team. The ideal candidate will support the development and deployment of scalable and optimized AI/machine learning (ML) models. The role focuses on working with large volumes of real-time, unstructured data to build AI/ML solutions that transition from theoretical models to practical applications. The Data & AI Engineer will also run performance tests, troubleshoot, and ensure smooth operationalization of these models in a production environment while leading and overseeing project teams towards completion.

Key Responsibilities:

• AI/ML Model Development & Optimization: Design, develop, and optimize AI and machine learning models for real-time applications. Build algorithms for data extraction, transformation, and loading (ETL) to manage large volumes of unstructured data.
  
• Model Deployment:Work closely with data scientists to deploy AI/ML solutions from theoretical models to production-ready systems. Collaborate with software engineers to ensure proper integration of models within relevant platforms.
  
• Performance Testing & Debugging:Run experiments to assess the performance of deployed models in real-time environments. Identify, troubleshoot, and resolve issues that may arise during deployment, ensuring model reliability and scalability.
  
• Collaboration & Cross-functional Work:Collaborate within a multidisciplinary team, applying your expertise in statistics, data science, and programming. Work closely with data engineers, software developers, and other stakeholders to ensure cohesive AI solution delivery.
  
• Technology & Platform Support:Stay up to date with the relevant software platforms and infrastructure necessary for deploying machine learning models. Ensure compatibility and seamless integration with the firm’s technical stack and production systems.

To qualify for the role, you must have

• Minimum 10 years’ experience in Financial Services (either industry or consulting and appropriate to your level). Preferably a year of consulting experience in any of the Big 4 or consulting firms.
• Proficiency in scripting and programming languages such as Python, R, or Java.
• Strong experience in data extraction, transformation, and loading (ETL) processes for large, unstructured data sets.
• Solid understanding of AI/ML model deployment practices, including cloud-based platforms (AWS, GCP, or Azure).
• Experience running model performance tests, identifying bugs, and implementing solutions in production environments.
• Knowledge in statistics, data science, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Ability to work collaboratively in a fast-paced team setting.
• Proficiency in scripting and programming languages such as Python, R, or Java.
• Strong experience in data extraction, transformation, and loading (ETL) processes for large, unstructured data sets.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What we offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Apply now.

Job Details

• Full time position with comprehensive benefits (Annual leave, medical benefits, variable bonuses)
• MNC environment
• Monday to Friday 8.30am-5.30pm

Job Description:

• To plan & execute the implementation of the agreed initiatives for MIS Section.
• Fully understand the business requirements and translate these to effective and meaningful information.
• Build and modify operational database structures as identified based on business requirements
• Manage and maintain the Change Request for MIS
• Assist in data mining, data cleansing and data extraction
• Ensure data integrity
• Manage companywide management reporting requirement and deliver reports timely to the management team and business units
• Documentation of Request for reports, SOP and business requirements.
• Responsible for CRM related activities and Analysis
• Produce reports using the BI tools
• Support general day to day MIS activities

Job Requirements

• You will need to have minimum of 1 year of relevant experience
• Knowledge of SQL & Excel Is a MUST requirement
• Knowledge in Crystal reports/Qlik View/Excel VBA/ Tableau is an advantage.
• Experience with Navision is advantage.
• Skills in Microsoft office like Word, PowerPoint and Excel is essential.
• Hands-on experience in ETL

Interested applicants, please press "APPLY NOW" or email your resume to [email protected]

Align Recruitment Pte Ltd (20C0253)

Tee Siew Mei (Reg No: R1219651)

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a passionate and strong leader in Data Analytics and Data Science to lead the strategy, development, and implementation of data-driven solutions across the organization. This role will oversee and manage the end-to-end process, from data collection, analysis, solution deployment and business integration.

What you will do:

• Data Strategy & Vision: Understand key company priorities and translate them into an actionable Data strategy to drive data maturity across the organization, enabling business growth, improve risk management, and enhanced customer experiences. 
• Team Leadership: Lead and mentor the Data Analytics and Data Science domain leads and their respective reportees to develop a high performance data team
• Influence Stakeholders: Partner with cross-functional teams such as Data Engineering, Product, Marketing, Sales, Risk, and Finance to drive data-driven initiatives, align on objectives, and ensure effective execution. 
• Data to Drive Business Impact:  Initiate new opportunities and continue existing projects where data can deliver analytics recommendations to drive key business metrics, and develop processes and frameworks to enable this.  

What we are looking at:

• At least 7+ years of experience in data analytics, data science, or related fields, with at least 3 years in a leadership role. Experience in  Financial Services, Fintech, and/or Tech companies and domain exposure to SME credit risk is preferred.
• Proven experience leading and managing teams in a fast-paced, high-growth company or fintech environment. Experience being a manager of managers is preferred.
• Proficient in SQL, Python or R and data visualization tools (e.g., Tableau, Qlik). Experience selecting and implementing tools for analytics and data science is preferred.
• Ability to translate complex data insights into actionable business strategies and influence stakeholders.
• Excellent communication skills, capable of presenting insights to non-technical stakeholders and influencing strategic decisions.
• Excellent problem solving and critical thinking skills  in a structured fashion
• Strong prioritization abilities according to business needs and constraints.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

We are seeking a talented Data Engineer and Data Analyst to design, build, and maintain our data infrastructure. In this managerial position, you will develop robust data pipelines, ensure data quality, and optimize storage systems to empower data-driven decision-making across the organization.

Leading a team of Data Analysts, you will oversee comprehensive reporting and analytics while providing strategic guidance in Data Strategy and Analytics, including AI and ML initiatives. As a specialist in Azure Data Services, you will be instrumental in driving insights and fostering innovation.

• Data Pipeline Construction: Design, develop, and maintain data pipelines for smooth data flow from multiple sources to warehouses or lakes, ensuring reliable data sources.
• Data Architecture Design: Create and manage data architecture using various technologies and storage solutions for efficient and secure data handling.
• ETL Processes: Conduct Extract, Transform, Load (ETL) operations to process raw data into structured formats and load it into storage systems for analysis.
• Data Quality Assurance: Implement data cleaning and validation processes to enhance accuracy and consistency, while monitoring and optimizing data quality.
• Scalability and Optimization: Design scalable systems to handle large data volumes and improve storage and retrieval processes.
• Data Governance: Establish governance and security measures to ensure compliance, and develop policies and documentation.
• Data Analytics & Reporting: Manage Data Analytics projects, create and oversee Power BI reports and dashboards, and coordinate with the extended Data Analytics team.
• Ad Hoc Duties: Perform any additional tasks assigned by the supervisor.

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: 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

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd