Total 46 operations engineer job vacancies in Transportation / Logistics category in sg tuas singapore

Location: Boon Lay, West Region

Type: Full-Time

Salary Range: $2,500 - $3,500

Availability: Immediate Start

What You Will Be Doing

Operational Management

• Supervise and coordinate daily shipping operations to ensure smooth and timely transportation of goods.
• Plan and manage consolidation boxes for overseas shipments.
• Arrange and coordinate deliveries and pickups with all relevant parties, including logistics and warehouse teams.

Documentation & Compliance

• Prepare and oversee accurate shipping documentation, including Bills of Lading, Permits, and Certificates of Origin.
• Handle and declare all types of import/export permits.
• Ensure compliance with international trade regulations, customs requirements, and company protocols.

Customer & Stakeholder Communication

• Liaise with customers, co-loaders, and overseas agents for shipment arrangements and issue resolution.
• Establish and maintain strong relationships with shipping vendors, carriers, and hauliers.

Monitoring & Improvement

• Use and oversee systems to monitor shipments, billing, and documentation, ensuring accuracy and prompt updates.
• Identify opportunities to optimize shipping efficiency and reduce costs.
• Resolve shipping, transportation, or documentation issues to maintain service standards.

Other Duties

• Provide support for ad-hoc projects or tasks assigned by management.

What We Are Looking For

• Diploma/Bachelor's degree in logistics, supply chain management, or a related field (preferred).
• 2-3 years of experience in freight forwarding or freight consolidation (preferred).
• Proficiency in MS Office (Excel, Word, PowerPoint).
• Strong verbal communication and interpersonal skills to build effective relationships with stakeholders.
• Attention to detail with the ability to multitask in a fast-paced environment.
• A proactive learner with the ability to adapt quickly to new systems and processes.
• Immediate availability and Singaporean citizenship are advantageous.

Employer Questions

Please include answers to the following questions in your application:

1. Which of the following best describes your right to work in Singapore?
2. What is your expected monthly basic salary?
3. How many years of experience do you have in freight or logistics?
4. How much notice do you need to give your current employer?

Location: Boon Lay, West Region

Type: Full-Time

Salary Range: $2,000 - $2,500

What You Will Be Doing

Operational Coordination

• Manage import/export shipments by liaising with customers to ensure smooth operations.
• Arrange deliveries and pickups, working closely with internal teams to meet customer needs.

Documentation & Tracking

• Prepare accurate shipping documentation and maintain detailed records in the system.
• Track shipments to ensure on-time delivery and provide status updates to customers.

Cost & Process Management

• Monitor shipping budgets and identify ways to optimize costs.
• Ensure accurate and timely billing for all completed jobs.

Problem-Solving & Support

• Address and resolve operational issues promptly to maintain service quality.
• Perform other ad hoc duties as required to support team operations.

What We Are Looking For

• Diploma/Bachelor's degree in logistics, supply chain management, or a related field (preferred).
• Basic understanding of shipping and logistics (training will be provided for the right candidate).
• Proficiency in MS Office (Excel, Word, PowerPoint).
• Strong communication skills with attention to detail and the ability to multitask.
• A proactive learner who thrives in a fast-paced environment.
• 1-2 years of experience in logistics or freight forwarding is preferred but not mandatory.
• Immediate availability and Singaporean citizenship are advantageous.

Employer Questions

Please include answers to the following questions in your application:

1. Which of the following best describes your right to work in Singapore?
2. What is your expected monthly basic salary?
3. How many years of experience do you have in freight or logistics?
4. How much notice do you need to give your current employer?

• Supervising transport and managing vehicles within the department
• Develop effective relationships with internal customers
• Interacts with customer departments to plan, evaluate and coordinate the activities of the Environmental Services Department
• Assesses the work environment, products/equipment, and processes to develop and maintain a safe work environment
• Providing on-the-job training to subordinate

• Supervising transport and managing vehicles within the department
• Develop effective relationships with internal customers
• Interacts with customer departments to plan, evaluate and coordinate the activities of the Environmental Services Department
• Assesses the work environment, products/equipment, and processes to develop and maintain a safe work environment
• Providing on-the-job training to subordinate

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Scope:

Support the Branch in complying in Customs and any other
government agencies’ regulations

1. Declare all different types of shipping permits.
2. Applying Ordinary and Preferential Certification of Origin.
3. Coordinate with the respective departments on supporting documents required. Ensuring all documents are in accordance and timeline to provide approved customs entry declarations with help of pre-customs entry, checklist, Asia Customs SOP, and pre-alert database.
4. Attend to customs enquiries and secure the permit approval.
5. To monitor and ensure all Cargo Manifest Declarations reports are submitted timely to Singapore Customs for both Import and Export permits transactions.
6. Creating file and preparing billing invoice. To ensure data accurate and timely billing to customers.
7. Generating essential customers’ or others reports as required.
8. Updating Asia Customs SOP with customers’ requirements and expectations.
9. Adhering compliance to Expeditors policy and expectations.
10. Maintain Branch procedure on customs entry declarations.
11. Key Performance Indicators are met within customers’ requirements and fulfillment Singapore Customs / Competent Authorities rules and regulations.
12. Performing internal audit for customs filling.  

5 days’s work week with 1 off day and 1 rest day (Sunday) within a calendar week 

Roster     1   -    8:30 am – 6:00 pm (1 hour lunch break) for 4 days

                          8:30 am – 5:30 pm (1 hour lunch break) for 1 day

Roster    2   -    12:00 pm – 21:30 pm (1 hour dinner break) for 4 days

                         12:30 pm – 21:30 pm (1 hour dinner break) for 4 day

Roster     3   -    2:00 pm – 11:30 pm (1 hour dinner break) for 4 days

                          2:30 pm – 11:30 pm (1 hour dinner break) for 1 day 

** Only those who are current residing in Singapore or with Singapore residency need to apply **

Brief Summary

• Basic $4000 + AWS + VB + Medical benefits
• 5 Days : 8.30am-5.30pm
• Working Location @ West
• AL 14 Days, Birthday Leave, Annual health check-up, Customized Gift for holiday season
• Required to attend a 2-week training session in Shanghai HQ
• New Headcounts

Responsibilities

• Assembly, testing, and maintenance of mechanical, electronic, or automated equipment.
• Adhere to operational protocols to ensure quality control and proper functionality of equipment.
• Collaborate with engineers to diagnose malfunctions and enhance system performance.
• Assist in documenting testing procedures and results.
• Maintain a safe and organized work environment, complying with workplace safety standards.
• Conduct wafer testing on the wafer platform according to the schedule.
• Perform die testing on the die platform as scheduled.
• Execute die sorting on the sorting platform based on the timeline provided.
• Uphold and manage 6S standards within the Fab environment.

Requirements:

• Min 1 year relevant experience
• Proficiency in handling mechanical, electronic, or automated equipment.
• Singaporean only

For consideration, kindly submit your CV by clicking “APPLY Now” or email to [email protected]

**Only shortlisted candidate would be notified**

EA Reg. No: R1988238

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

The Transportation Operations Coordinator is responsible for  ensuring the smooth operation of our logistical activities by driving carrier and service provider performance through collaboration and coordination of processes, carriers, and facilities. Ensures performance and lowest cost transportation by analyzing company and customer needs, researching transportation methods and auditing carrier costs and performances.

Key Responsibilities:

• Build customer relationship and provide excellent customer service, understanding their needs and goals
• Identify and address issues that may impact customer satisfaction and work on solutions to improve the overall customer experience
• Manage the flow of goods and materials by coordinating with customers, 3pls, carriers, warehouses,  and other stakeholders to streamline the supply chain process to meet KPIs and OKRs as agreed to with the client, i.e OTIF
• Arrange transportation for shipments, considering factors such as cost, transit time, and mode of transport. Coordinate with freight forwarders, carriers, and haulage companies to schedule pickups and deliveries as and when required
• Drive carrier and service provider performance for the Hub and Spoke locations
• Responsible for transportation management of warehouse inbound and outbound activities, warehouse and trailer capacity management
• Support the collection and interpretation of data, provides data analytics to improve the transportation operational efficiency of their assigned warehouse location
• Coordinate and collaborate  with multiple parties including customer stakeholders, warehouses, carriers, service providers onsite team members to resolve any issues that may arise
• Serve as the main point of contact for internal departments, external vendors, and customers regarding logistics-related inquiries. Communicate shipment status updates and address any issues or concerns promptly
• Acts as a liaison between Google’s warehouse vendor and carrier
• Support domestic and international shipments as well as ensuring Google’s partner carriers are aware of requirements for warehouse operations and any critical shipments needing attention
• Monitor inbound and outbound deliveries ensuring it reaches destination as requested
• Proactively approach and resolve bottlenecks in the shipping and receiving processes
• Develop and monitor carrier KPIs and metrics for transportation analysis
• Identify and suggest corrective actions for ongoing delivery issues/opportunities and SOPs

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job summary:

We are seeking highly talented Software Engineer with experiences in developing network/communication middleware for embedded system or automotive ECU system is preferable.

Duties/ Responsibilities:

• Innovate, create and invent network/security technologies (including product, platform, module and function) for rapidly changing automotive products to enable the megatrend of ACES (Autonomous Connected Electric Shared).
• Design and develop protocol stacks for Vehicle Network/Communication functions or systems (including but not limited to Ethernet, CAN, LIN, FlexRay, Optical related.)
• Develop software middleware for communication such as DoIP and SOME/IP stack based ecosystem.
• Lead or participate in product software architecture definition and design which meet automotive OEM requirements.
• Ensure and carry out forward design process and document quality according to V model to fulfil stringent automotive industrial standards.
• Implement software programme to realize defined architecture & design.
• Behave independently as technology domain representative for internal and external customers.

Requirements:

• Bachelor's degree or above in Electronic/Computer Engineering or related field with 5 years' experience in the embedded system development, preferably in automotive industry.
• Innovative mindset with ability to think critically and solve problems
• Experience in software development using C++.
• Knowledge of Operating Systems (OS) concepts and Data Structures, Inter Process Communication and Algorithms.
• Familiar with Service Oriented Architecture. Cloud Native development experience is an added advantage.
• Deep understanding of network layer components such as IPv4, IPv6, routing, forwarding, TCP/IP.
• Experience in software development in Linux is a must. Knowledge of Real-time operating systems (RTOS), Android Auto or QNX will be an added advantage.
• Experience in Python or Rust will be an added advantage.
• Experience in Adaptive Autosar or Robot Operating Systems (ROS) will be an added advantage.
• Experience in developing time-critical functions in embedded systems.
• Proficiency with network monitoring protocols and tools.
• Prefer candidates have experience with embedded ARM processor.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Descriptions:

• Assist in the preparation and closure of data in the Transport Management System (TMS) to facilitate transport route planning.
• Create and manage jobs within the system to ensure seamless daily operations.
• Prepare job charge sheets and collaborate with the Finance team for accurate billing.
• Maintain organized records of important documents, including depot-related receipts and driver reimbursements.
• Support the Transport Manager in planning and scheduling daily routes to achieve optimal efficiency.
• Maintain and report on key transport KPIs.
• Implement and ensure adherence to SOPs within the transport department.
• Conduct investigations into delivery discrepancies, accidents, and customer complaints, and propose corrective and preventive actions.
• Foster positive relationships with internal and external stakeholders.
• Participate in continuous improvement initiatives to enhance operational efficiency.
• Perform any other ad-hoc duties as assigned by the superior.

Requirements:

• Degree/ Diploma in Supply Chain/Logistics or equivalent.
• Min 1 year of experience in related working experience.
• Familiar with LTA and other local authorities’ rules and regulations.
• Good interpersonal skills, a self-driven individual and has ability to work collaboratively with both internal and external stakeholders.
• Proficient in the use of MS Office i.e. Excel and Power Point.
• Able to work in a fast-paced environment.

Job Info:

• Salary : Basic up to $3500 + Transport Allowance $100 + AWS + VB
• Working Hours: Monday - Thursday: 8:30am to 6pm; Friday: 8:30am - 5:30pm
• Location: Geylang Bahru

Job Scope:

• Serve as the primary point of contact for customers, carriers, suppliers, and other stakeholders in day-to-day business operations
• Manage customer orders, including related documentation, and coordinate transport bookings with carriers based on specified routing and service levels
• Monitor the execution of transport activities
• Handle customer requests and address incidents or disruptions in the supply chain
• Assist in the on-boarding process for new suppliers
• Act as a backup for supervisors in case of their absence
• Facilitate the on-boarding, training, and guidance of new staff during their initial period
• Assist supervisors in updating and revising work instructions and provide feedback on best practices
• Continuously on-board and train suppliers on SOPs and system usage

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RK Recruitment Pte Ltd | EA License No.: 20C0280

Chou Jia Hooi | EA Personnel No.: R23115147

Job Info:

• Salary : Basic up to $3000 + Transport Allowance $100 + AWS + VB
• Working Hours: Monday - Thursday: 8:30am to 6pm; Friday: 8:30am - 5:30pm
• Location: Geylang Bahru

Job Scope:

• Serve as the primary point of contact for customers, carriers, suppliers, and other stakeholders in day-to-day business operations
• Manage customer orders, including related documentation, and coordinate transport bookings with carriers based on specified routing and service levels
• Monitor the execution of transport activities
• Handle customer requests and address incidents or disruptions in the supply chain
• Assist in the on-boarding process for new suppliers
• Act as a backup for supervisors in case of their absence
• Facilitate the on-boarding, training, and guidance of new staff during their initial period
• Assist supervisors in updating and revising work instructions and provide feedback on best practices
• Continuously on-board and train suppliers on SOPs and system usage

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

*We regret to inform you that only shortlisted candidates would be notified*

We wish you all the best in your career search.

You are welcome to visit our website at http://www.rkgroup.sg/

RK Recruitment Pte Ltd | EA License No.: 20C0280

Chou Jia Hooi | EA Personnel No.: R23115147

Responsibilities:

1. Check daily delivery schedule and double check that all goods packed for delivery tally well with the delivery orders before loading onto vehicle.
2. Must understand the delivery procedure and all the actions that should be taken upon goods delivery.
3. Check each and every of the returned goods against the customer’s return note.
4. Work with the team in attending to any other tasks assigned from time to time.
5. Responsible for the vehicle condition, cleanliness and maintenance.
6. Responsible for organizing the warehouse areas and managing the day-to-day activities of warehouse staff and drivers.
7. Managing the efficient receipt, storage and dispatch of goods from the warehouse.
8. Other ad hoc duties.

Requirements:

1. At least 2 year experience in delivery.
2. Possess Class 3 License.
3. Familiar with Singapore roads.
4. Independent and physically fit.
5. Attentive, reliable, punctual and safety conscious.
6. Compliant with traffic regulations.
7. 5.5Day Week.
8. Able to start work immediately will be an added advantage.

Summary:

The ESC Transportation Operations Manager will work with logistics business leads to define and manage roadmaps and manage operations to effectively deliver on the ESC program objectives. Review impacts to logistics and develop mitigation strategies. Influence decisions and change management through collaboration, leadership and a customer-focused approach. Provides functional subject matter expertise and anticipates customer's needs. Interface with multiple vendors and partners to gather and synthesize detailed business requirements.

Key Responsibilities:

• Build customer relationship and provide excellent customer service, understanding their needs and goals
• Identify and address issues that impact customer satisfaction and improve customer experience 
• Serve as the main point of contact for customer queries / problems regarding ESC
• Build and present executive ready presentations and written reports to major stakeholders
• Lead project calls discussing progress, risks, challenges and ultimately facilitate decision-making
• Communicate key operational milestones to all key stakeholders and drive alignment
• Review engineeering design drawings and align within project scope
• Work with planners and PM's and create plans to support preplanning and on time delivery
• Own information gathering and evaluate restrictions and regulatory requirements that impact supply chain
• Monitor operations and coordinate with forwarders and suppliers for on time delivery
• Proactively identify and developing mitigation strategies for risks and logistics impacts
• Maintain and report on supplier and forwarder performance to agreed SLO's, risk and priorities
• Ensure projects follow the proper project management life cycle and include proper documentation such as project charters, documentation for public consumption, technical and end-user documentation, document storage and controls
• Organizes and manages project activities across vendors, carriers, factories, contract manufacturers
• Conduct post-implementation reviews (i.e., evaluate performance against defined project goals)
• Analyze late orders and / or damanges and provide root cause analysis
• Support RFI / RFQ processes and benchmarking
• Manage regional and local transportation matters as they arise and as required by the customer
• Collaborate with ESC project team to build consistency in all processes and procedures
• Stay up to date with the latest trends, benchmarks, best practices and advancements in supply chain, including emerging tools, techniques and best practices and apply new knowledge to improve processes