• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7-10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus. Requirements

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7-10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus. Requirements

Job Description:

• Provide support for current and future enterprise systems
• Follow Global - IT security policies, procedures, best practices and esatablished standards
• Participate in the optimization of IT Infrastructure implementations, forecasting and maintenance
• Support of the development and management of network servers, virtualization, storage and monitoring systems
• Support efforts to design, install, review and evaluate data center infrastructure
• Assist in deployment of Servers and virtual environments, including but not limited to VMWare, various Windows server versions and Linux
• Troubleshoot data center systems including any reported data center issues and recommend improvements required to enhance performance
• Identify and help create documentation and diagrams for the global data center knowledge base
• Update current infrastructure equipment to current OS levels and required Enterprise funtionailities
• Experience modifying and developing scripting or programming languages
• Assist with data center capacity and high availability requirements

Job Requirements:

• Associate degree or work experience
• Minimum 3 years working experience with a mixture of the following:
• * Practical experience with VCF, VMware vSphere 7 (6.5+) (including multiple sites/clusters, host profiles, customizations), vMotion, VMware ESXi, vCenter, vROPS, Horizon, IDPA, NSX, NSX-T, VDI deployment, configuration and maintenance in production environments
• * Support of VMware virtual environment using vSphere spanning multiple data centers and networks
• * Experience with Dell VxRail, Data Domain, Avamar, EMC and IDPA storage platforms
• * A minmum 2 years' experience deploying, migrating, supporting, and/or upgrading Microsoft technologies such as Windows Server, Active Directory, GPOs, SCCM, O365 and security policies
• *Experience deploying, troubleshooting and maintaining Windows Server 2012 and beyond
• *Experience deploying and supporting MFA and security solutions such as Okta and PAM (Privileged Access Management)
• *Basic networking knowledge (VLANs, firewalls, load balancers, NAT, DNS, LANs/WANs)
• *Experience with common network services, SNMP, Syslog, DNS, NTP, DHCP, AD, etc
• *Experience with public cloud providers such as Amazon, Microsoft and Google
• Perform simple to medium complexity troubleshooting, backup, archiving and recovery tasks

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Work on a project to create optimized designs for heat exchanger;
• Perform multi-physics numerical simulation to establish specific dataset;
• Build machine learning models to learn performance of heat exchanger;
• Deliver design results with no additive manufacturing production issues.

Job Requirements:

• PhD in Mechanical Engineering, Structural Engineering, Aerospace Engineering, Machine Learning, or related fields
• At least 3-year research experience in related areas
• Expertise in numerical simulation of multi-physics systems, such as fluid-solid coupling structures
• Experience in additive manufacturing, and machine learning
• Proficiency in basics of programming languages such as C++, Python, and/or Matlab
• Proficiency in English speaking and writing
• Publication track record is an advantage for this position

We regret that only shortlisted candidates will be notified.

We are the Mercedes-Benz IT Regional Competence Center for Data Analytics, based in Singapore, providing support to 18 global markets in the realms of Data Analytics and Data Science.

Our core responsibilities encompass innovating, managing, and overseeing the Regional Data Lake and Refinement layer. This involves facilitating the integration of data from diverse sources, primarily focusing on Sales and beginning with Aftersales data. Within our gold data layer, we refine raw data into comprehensive insights, covering over 100 KPIs at the regional level. These insights unveil patterns, trends, and growth opportunities crucial for business decision-making.

Moreover, we spearhead various data science use cases tailored to different markets. Currently, we are looking for a Data Engineer to spearhead the design and execution of data product delivery processes. This role involves close collaboration with business stakeholders to define data requirements and generate digital value for the organization.

The incumbent will be tasked with:

1. Data Strategy and Product Delivery:

• Investigating and comprehending the data landscape.
• Designing, developing, and managing standardized regional templates/data products.
• Ensuring the availability, reliability, and usability of KPI data.
• Aligning and steering topics in line with the target data analytics landscape.
• Managing the data analytics roadmap, epics, and sprints in conjunction with product owners.
• Developing UDP (KPI dimension and metrics) for Region Overseas and its markets.
• Implementing a Data Quality Framework (DQF) and creating DQF dashboards to facilitate a data-driven business approach.
• Agile planning with product owners to develop and refine products.
• Documenting processes for data products, sourcing, and dataset development.
• Supporting DevOps implementation on the platform.
• Cultivating a 'data-driven organization' culture.
• Informing relevant business objectives of our key customers (e.g. MS/O and Overseas Markets) and ensuring digital value of the products.
• Providing consultation to markets and business on UDM and Data Quality implementation.

2. Product and Project Management:

• Collaborating with stakeholders to co-develop a future-oriented roadmap.
• Driving IT products and features through their lifecycle, from idea to implementation and operations in a fast-paced environment
• Translating product roadmap features into requirements including features, user stories and UAT criteria.
• Working with cross-functional teams to review business needs regularly, to refine priorities, outline milestones and expedite deliverables.
• Identify opportunities and risks at all stages.
• Prioritizing and maintaining the sprint backlog using agile methodologies.
• Establishing and implementing rollout plans to meet business needs effectively.
• Aligning Scope, Timeline, Roles, and Responsibilities with various stakeholders (globally, regionally and locally).
• Adapting project activities as needed for the region.
• Ensuring adherence to IT strategies at headquarters and regional levels.
• Managing project budgets and ensuring regular communication on progress.
• Key responsible for end-to-end co-ordination of all projects rollout activities.

3. Partner Management:

Internal MB

• Facilitating communication between HQ and Overseas regions on application activities.
• Providing market requirements and strategies to align HQ and regional needs.
• Managing stakeholder expectations.

External vendors

• Managing vendors through the SDLC process.
• Collaborating with vendors to develop approved regional solutions.
• Ensuring vendor delivery aligns with specifications and KPIs.
• Supplier management and steering of external employees

4. General Responsibilities:

• Maintaining up-to-date procedure and documentation for all applications.
• Ensuring compliance with all procedures and expectations.
• Fostering a "data-driven organization" culture and supporting relevant business objectives.
• Providing market and business consultation on data infrastructure and science capabilities.
• Support the team in removing blockers and impediments.
• Conducting team performance discussions and reviews, together with General Manager

In summary, this role is pivotal in driving the organization towards a data-centric approach, ensuring the delivery of valuable insights and solutions to drive business growth and efficiency.

QUALIFICATIONS

• Relevant Bachelor's or Master's Degree in relevant IT-related field.
• Minimum of 5 years of experience in IT, with at least 3 years of strong involvement in automotive or similar industry.
• Familiarity with ITIL and experience in people management.
• Extensive knowledge of the MS Azure platform.
• Proficiency in Data Modelling Concepts, including ER Model and Start Schema Model.
• Experience with Reporting Tools, Python, SQL experiences.
• Customer Oriented and demonstrated empathy.
• Outcome-driven and adept at creative problem-solving, possessing a strong positive mindset.
• Strategic thinker with a focus on bridging business and IT interactions.
• Good understanding of Automotive Business operations.
• Proficient in Program and Project management, with experience in international rollouts.
• Experience in working within a multi-cultural and distributed organization setting.
• Excellent communication and presentation skills.
• Strong leadership abilities and a collaborative team player, capable of working in an international and intercultural environments.
• Familiarity with agile methodologies and adaptability to fast-paced environments.
• Strong analytical and problem-solving skills, with proficiency in IT processes and management.
• Knowledgeable in data visualization tools such as Tableau or Power BI.
• Understanding of data integration, data quality, data governance and database technologies
• Ability to translate analysis findings into actionable business recommendations and insight.

This position is based in location Singapore. A valid and approved work visa is required for employment in Singapore in accordance to local labour law regulations. We regret to inform you that only shortlisted candidates will be notified.

We are looking for intellectually curious, highly motivated and customer-focused individuals to build Advanced Analytics and Data Science capabilities within the Regional IT Center of Competence (CoC) for Data Analytics team.

The incumbent will be responsible for the following:

• Own end-to-end development and execution of Data Science and ML/AI models/solution using Azure cloud platform
• Work closely with Data Science (Business), Engineering and Design teams to define and build Data Science and AI/ML products that help organization drive data-driven decisions
• Act as the Data Engineering and Data Quality expert for Data Science use cases
• Work with Data Engineering team and Architects to define Data Science and ML/AI technology landscape
• Handle multiple agencies to drive the Data Science products to success
• Work with Headquarter (HQ) and various markets on the implementation of Data Science and AI/ML product across different geographies
• Balance priorities and tech debt to create effective sprints that move the needle for the business
• Support in implementation of Data Governance Model

QUALIFICATIONS

• Bachelor Degree in Engineering or significant course work in other computer-related fields of study
• More than 5 years or more total experiences in Software Engineering, Data Engineering, Data Quality Management and Project Management
• Certified in Project Management Professional
• Strong knowledge on SQL, Oracle PL/SQL, MSSQL, ETL/ELT, Unix Shell Scripting
• Good communication skills to interact with stakeholders
• Drive to learn new things and take ownership of all deliverables

This position is based in location Singapore. A valid and approved work visa is required for employment in Singapore in accordance to local labour law regulations. We regret to inform you that only shortlisted candidates will be notified.

The Job

Strategic Planning and Roadmap Development:

• Develop a strategic roadmap for AI implementation aligned with business goals and objectives.
• Identify opportunities for AI adoption across various business functions and define priorities for implementation.

Technical Evaluation and Implementation

• Collaborate with cross-functional teams to design AI and data management solutions that meet business requirements and technical specifications.
• Evaluate and select AI and Data related technologies, tools, and platforms to support implementation efforts.
• Integrate AI and Data management solutions with existing systems, infrastructure, and processes, ensuring compatibility and seamless operation.
• Evaluate and select data management technologies, platforms, and tools to support data architecture initiatives, considering factors such as scalability, performance, and cost-effectiveness.
• Stay abreast of emerging technologies and industry trends in AI and data management, analytics, and cloud computing

Architecture Governance and Compliance:

• Establish architecture governance processes to ensure adherence to data architecture principles, standards, and guidelines.
• Monitor compliance with regulatory requirements, industry standards, and best practices related to data management and security.

Project Management and Execution:

• Lead the planning, execution, and monitoring of AI implementation projects, ensuring adherence to timelines and budgets.
• Coordinate with internal teams, external vendors, and stakeholders to drive project delivery and mitigate risks.

Change Management and Adoption:

• Develop change management strategies to facilitate the adoption of AI solutions by end-users and stakeholders.
• Provide training, documentation, and support to ensure successful deployment and utilization of AI technologies.

Resource Management and Team Leadership:

• Build and lead a team of AI engineers, data engineers, and/or other professionals responsible for implementing AI solutions.
• Provide guidance, mentorship, and support to team members, fostering a culture of innovation, collaboration, and excellence.
• Stakeholder Management:
• Serve as the primary point of contact for stakeholders, providing regular updates on project status, milestones, and outcomes.
• Collaborate with business leaders, users, and other stakeholders to understand requirements, gather feedback, and ensure alignment with project goals.

Risk Management and Compliance:

• Identify and assess risks associated with AI projects, including technical challenges, resource constraints, and regulatory compliance issues.
• Develop and implement strategies to mitigate risks and ensure compliance with relevant laws, regulations, and ethical standards.
• Performance Evaluation and Continuous Improvement:
• Evaluate the success of AI projects based on predefined metrics and KPIs, analyzing outcomes and identifying areas for improvement.
• Drive continuous improvement initiatives, incorporating lessons learned and best practices into future projects to optimize performance and outcomes.

Job Requirement

• Minimum Bachelor’s degree in computer science, engineering, data science, or related field. A Ph.D. is a plus.
• Proven experience (5 years or more) leading AI and/or Data management projects from conception to delivery, preferably in a corporate or enterprise environment.
• Deep understanding of data management principles, data modeling techniques, and database technologies.
• Experience with data integration, ETL processes, data governance, and metadata management.
• Proficiency in data architecture tools and platforms (e.g., ERwin, SAP PowerDesigner, Informatica)
• Strong technical expertise in AI technologies and Data management, including machine learning, deep learning, natural language processing, and computer vision.
• Technical understanding to perform and lead data management practices – Data quality improvements, Data engineering – Experience in Python/DB programming languages – SQL is a must.
• Excellent project management skills, with the ability to effectively plan, organize, and prioritize tasks in a dynamic environment.
• Strong leadership and communication skills, with the ability to inspire and motivate team members, build consensus, and influence stakeholders.
• Experience with agile or other iterative project management methodologies is desirable.
• Demonstrated ability to navigate complex organizational structures, manage competing priorities, and drive results in a collaborative, cross-functional environment.
• Certification in enterprise architecture (e.g., TOGAF) or data management (e.g., DAMA) is a plus

About Infosys:

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Short Description:

If your passion is to build solutions that really make a difference to enterprises, the community and your world, Infosys is the right place for you.

• Cisco Router, Switch(Nexus) · Proficiency in LAN/WAN topologies using routing protocols like OSPF,BGP,EIGRP · Proficiency in HSRP/GLBP/VRRP Configuration ·
• Proficiency in Traffic Manipulation with OSPF/EIGRP/BGP. · Proficient in Configuring VLAN/L3 · Switches/STP/PVST/RPVST+ Deep Knowledge on VPC, VDC, FEX, FIBERPATH. ·
• Manage WLAN Network such as Implement, troubleshoot and maintain wireless infrastructure/WLC/WAP. ·
• Exposure and working knowledge of various authentication solutions, such as ClearPass, ISE, NPS and Cisco Prime · In-depth knowledge of wireless security, 802.1x, WPA2, EAP methods, PSK, RF and Wireless Antennas. ·
• Hands-on in Wireless reporting, heatmap creations, placement of APs and should act as a trusted advisor to our customers to understand their business requirements for Campus Wireless including site surveys · Spine Leaf Architecture, L2 outs, L3 outs. · Understanding of how other technologies work alongside Cisco's ACI, experience in Troubleshooting traffic flows, routing and L3 policies. ·
• Strong Experience in F5 Load balancing technologies (BIG IP LTM, knowledge of HTTP and SSL/TLS. · Configure Self/Floating IP, port lockdown, network routes, irules, HA, SNAT, Automap, Persistence profiles
• Troubleshoot, configure, upgrade, maintain, and monitor the load balancer network architecture and perform packet capture. Device to be handled (Hands on the below is must) : • Cisco Catalyst C9500-40X,65XX,45XX,3850,93XX Switches • Cisco Nexus 2K,3K,5K,7 K (DC switches) series, Cisco 9K series ACI switches Management(SDN), Cisco 55xx/9800 WLC, F5 LTM. CCNP Routing & Switching / Data Center/ wireless Cisco Certified Network Professional (CCNP) or equivalent level of knowledge

Soft skills-

• · ITIL Process ·
• Knowledge of IT infrastructure management. ·
• Excellent Analytical and troubleshooting skill. ·
• Excellent in Verbal, written communication in English Proven experience in diagnostics and problem analysis

Infosys is an equal opportunity employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender or other attribute covered by equal opportunity legislation.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

BASIC FUNCTION

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company. The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators. The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company. This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

SPECIFIC RESPONSIBILITIES

• Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.
• Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
• Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
• Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
• Establish budgetary forecasts and sales volume targets for the SEA DC market.
• Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
• Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
• Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
• Analyze sales and market data to provide relevant information to senior management for decision making.
• Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.
• Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

QUALIFICATIONS / REQUIREMENTS

• Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.
• Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.
• Results driven, strong will to compete and win in a business environment.
• A good team player and enjoys interacting with people of all levels.
• Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES/SKILLS

1. Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

2. Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

3. Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

4. Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

• 5-day work week
• 8.30am to 5.15pm
• Located in Jurong

OTHER BENEFITS

• Annual leave - 15 days up to 21 days
• Medical, dental, optical and annual health screening benefits
• Company transport provided at Boon Lay MRT station
• Other allowances applicable

Salary is commensurable to educational qualifications and working experience of the candidates.

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

(Please note that only shortlisted candidates will be notified.)

Accounts Clerk Job Description

As an Accounts Clerk, you will be responsible for managing company financial tasks such as managing receivables/payables and ensuring all company invoices are properly recorded, tracked, approved, and paid. You will work closely with the company’s accountant, management, and outside vendors. Success in this role will be demonstrated through accurate payment and financial transaction processing.

Accounts Clerk Job Responsibilities and Duties

• Track company bank accounts, deposits, and balances; report regularly to management
• Track company invoice obligations, make accurate and timely invoice payments, gain approval when necessary, and identify/report inaccuracies and variances
• Source external vendors for various supplies, obtain quotations, compare prices, and negotiate to obtain lower costs
• Maintain good relationships with external vendors through effective communication to resolve any queries about payments owed to them as well as resolve any problems or inaccuracies with invoices
• Conduct Accounts Payable tasks, such as preparing: purchase orders, delivery orders (with matching invoices), payment vouchers, submissions for management’s approval, making payments online or via check, documenting payments in the register, and filing payment records
• Conduct Accounts Receivable tasks, such as: monitoring outstanding invoices, sending new progress claims and invoices to clients, preparing receiving vouchers, following up on overdue payments, and filing receivable records
• Prepare company monthly financial statements, such as: cash flow projections, monthly income/payment summary, and bank reconciliation
• Manage petty cash accounts including collecting receipts, making reimbursement payments to employees, and recording transactions
• Maintain financial documentation in an organized, updated, and easily accessible manner
• Conduct quarterly GST submission to IRAS, including preparation of invoice summary with GST paid and GST received for all company financial transactions and presenting this invoice summary to management for approval before GST submission
• Collaborate with other accounting/finance team members, engineers, and management
• Assist with accounts audit and other financial reporting requirements as needed

Accounts Clerk Job Requirements

• 2+ years of accounts payable & receivable experience
• Knowledge of payables, budgeting, and accounting best practices
• Experience with financial transaction reporting
• Expertise in Microsoft Office suite – especially MS Word and MS Excel
• Understanding of GST obligations and reporting requirements for payables/receivables
• Strong mathematical and analytical ability for financial calculations
• Excellent verbal and written communication skills
• Strong organizational skills, time management and attention to detail
• Diploma or degree in accounting, finance, or a related field

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

· Work with internal stakeholders to identify data needs and extract relevant data from various sources.

· Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

· Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

· Collaborate with team members to understand business challenges and provide data-driven solutions.

· Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

· Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

· Design and build dashboards that provide real-time insights and support strategic decision-making.

· Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

· Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

· Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

· Experience in working with internal stakeholders to understand and fulfil data analysis needs.

· Hands-on experience in visualising data and building dashboards.

· Proficiency in SQL for data extraction and manipulation.

· Knowledge of statistical programming languages such as R or Python.

· Experience with data visualisation tools (e.g., Tableau, Power BI).

· Familiarity with dashboard development tools and techniques.

· Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

· Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

· Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

· Work with internal stakeholders to identify data needs and extract relevant data from various sources.

· Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

· Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

· Collaborate with team members to understand business challenges and provide data-driven solutions.

· Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

· Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

· Design and build dashboards that provide real-time insights and support strategic decision-making.

· Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

· Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

· Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

· Experience in working with internal stakeholders to understand and fulfil data analysis needs.

· Hands-on experience in visualising data and building dashboards.

· Proficiency in SQL for data extraction and manipulation.

· Knowledge of statistical programming languages such as R or Python.

· Experience with data visualisation tools (e.g., Tableau, Power BI).

· Familiarity with dashboard development tools and techniques.

· Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

· Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

· Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

· Work with internal stakeholders to identify data needs and extract relevant data from various sources.

· Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

· Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

· Collaborate with team members to understand business challenges and provide data-driven solutions.

· Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

· Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

· Design and build dashboards that provide real-time insights and support strategic decision-making.

· Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

· Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

· Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

· Experience in working with internal stakeholders to understand and fulfil data analysis needs.

· Hands-on experience in visualising data and building dashboards.

· Proficiency in SQL for data extraction and manipulation.

· Knowledge of statistical programming languages such as R or Python.

· Experience with data visualisation tools (e.g., Tableau, Power BI).

· Familiarity with dashboard development tools and techniques.

· Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

· Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

· Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

*** SINGAPOREAN ONLY ***

• Basic $1800-$2400 (depends on experience)
• AWS + Bonus + Yearly increment
• Mon-Fri 9am-5.30pm, Alternate Sat 9am-1pm
• Location : Jurong East
• **Logistics MNC**

Responsibilities:

• Provide customer service support via phone and email
• Monitor incoming and outgoing shipment
• Prepare import and export shipments documentation
• Perform any other duties as and when assigned

Requirements:

• At least O Level and above
• At least 1 year Customer Service experience in related field
• Proficient in MS office
• Able to commit OT when required

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

**Only shortlisted candidate would be notified**

Job Responsibilities:

1) Closely monitor daily outputs and yield lost

2) Update data into SAP system and planner

3) Update data of dailyproduction activity into SAP system

4) Coordinate with production planner on daily production activity

5) Closing aging Production Order

6) Ensure BOM and Routing in the SAP system are accurate and updated

7) Inventory control

8) Coordinate with warehouse to meet on-time delivery

Job Requirements:

1) Secondary School, Form 5 and above

2) Basic computer knowledge (Excel)

3) Basic knowledge of using SAP system

We help people stay employable

About JobTech
JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspiration. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
The JobTech team is an enthusiastic bunch, obsessed with solving human capital business problems in talent development, using deep technology and labour market data. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers who are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know!

Job Description

JobTech is a product start-up looking to solve real world labour problems and deliver the best possible experience to our end users. We are looking for self-driven and eclectic individuals.

· Obtain data insights from raw data and present them in a meaningful manner in the form of data reports, visualisations or analysis.

· Support sales and marketing team with the generation and maintenance of statistics and data reports.

· Work closely with data scientists to curate and improve on JobTech’s data engine, including but not limited to data curation and model improvement.

· Independently diagnose and identify data quality issues and implement solutions to resolve them.

· Propose, manage and build long term solutions to improve data integrity (both engineering and people management aspects).

· Address client queries on JobTech’s data and analytics solutions, validations and capabilities.

· Research, evaluate and experiment on new data models or improvements on existing models.

· Build and manage extract, transform, and load pipelines efficiently and reliably for analytical and machine learning purpose.

· Design and implement reliable, scalable and robust data systems that support core products and business

· Implement and automate data quality checks, data validation processes, and error handling mechanisms to ensure the reliability and consistency of the data.

Requirements

· A self-starter that can thrive in a fast-paced environment.

· 1 to 2 years of working experience preferred. Fresh degree/diploma/etc graduates who are able to learn fast welcomed to apply too.

· Proficient in Python (for data analytics) and SQL.

· Knowledge in text mining or NLP. Hands-on experience with text mining or NLP will be a plus.

· Experience with interactive visualisations or dashboard frameworks such as Plotly and Dash is an added advantage.

· Passionate about data engineering and analytic techniques, and willing to pick up new skills/tools.

*** SINGAPOREAN ONLY ***

• Basic $1800-$2400 (depends on experience)
• AWS + Bonus + Yearly increment
• Mon-Fri 9am-5.30pm, Alternate Sat 9am-1pm
• Location : Jurong East
• **Logistics MNC**

Responsibilities:

• Provide customer service support via phone and email
• Monitor incoming and outgoing shipment
• Prepare import and export shipments documentation
• Perform any other duties as and when assigned

Requirements:

• At least O Level and above
• At least 1 year Customer Service experience in related field
• Proficient in MS office
• Able to commit OT when required

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

**Only shortlisted candidate would be notified**

Project Description:

We are looking for a skilled Data Analyst with expertise in SQL and SimCorp to contribute to our data analytics initiatives. The ideal candidate will have a solid understanding of financial data management, excellent analytical abilities, and be willing to work extended hours when necessary.

Responsibilities:

• Write complex SQL queries to extract, manipulate, and analyze data from various sources, including SimCorp database.
• Work closely with stakeholders to understand data requirements and translate them into actionable insights.
• Develop and maintain data models, dashboards, and reports to support business decision-making processes.
• Conduct thorough data validation and ensure data accuracy and integrity.
• Collaborate with cross-functional teams to optimize data processes and drive efficiency.
• Provide expertise in SimCorp data structures, workflows, and processes.
• Perform ad-hoc analysis and investigate data-related issues as needed.

Mandatory Skills Description:

• Bachelor's degree in Computer Science, Finance, Economics, or a related field.
• At least 3-6 years of proven experience as a Data Analyst or similar role, preferably in the financial industry.
• Experience with data visualization tools such as Tableau.
• Strong proficiency in SQL with the ability to write complex queries and optimize database performance.
• Hands-on experience with SimCorp either as an end-user or familiarity with using SimCorp data.
• Solid understanding of financial instruments, investment operations, and portfolio management concepts.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.
• Effective communication skills with the ability to convey technical concepts to non-technical stakeholders.
• Flexibility to work late hours when necessary to meet project deadlines or address urgent issues.

• Nice-to-Have Skills: Asset Management / Financial reporting/investment or risk monitoring

Job Details

Location: Maxwell

Working Hours: 5-Days Weekday

Work Type: 12-Month Contract

Salary: Up to $ 2,700 per month

What you will be working on?

• Process administrative Human Resource services for various government agencies with precision and adherence to standard operating procedures (SOPs) and regulatory requirements.
• Manage HR services including recruitment, onboarding, pre-service appointments, and medical screenings.
• Generate and distribute letters, emails, and related documents efficiently.
• Record HR transactions accurately in the HR system and submit to the HR Supervisor promptly.
• Collaborate with external vendors such as training providers and medical screening facilities.
• Compile reports and submissions in accordance with established formats and SOP.
• Engage in departmental initiatives, ad-hoc projects, and tasks assigned by supervisors.

What are we looking for?

• Singaporean only
• Minimum O Level up to Diploma in Human Resource or relevant discipline.
• Reasonable understanding of HR operations.

Interested candidate may apply via email to [email protected] (indicating Job ID J44523 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

Job Description

• Give sales presentation to our clients
• Deliver excellent customer service
• Prepare Quotations and setup meetings

Rehabilitation Research Institute of Singapore invites applications for the position of Research Associate.

Key Responsibilities:

• Assist in the development and application of data analysis algorithms for medical data.
• Participate in research projects, contributing to data collection, analysis, and the preparation of reports and publications.
• Collaborate with team members to identify research opportunities and innovative data analysis strategies.
• Support the maintenance and organization of research data in compliance with ethical standards.
• Engage in continuous learning to improve skills in AI, data science, and medical data analysis.

Job Requirements:

• Master's degree in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related discipline, with a strong emphasis on AI and data science.
• Experience with machine learning techniques and statistical analysis.
• Familiarity with medical data types, such as neurophysiological data, sensor data, and medical records.
• Proficiency in programming languages used in data science, like Python or R.
• Good communication skills and the ability to work collaboratively in a multidisciplinary team.

We regret that only shortlisted candidates will be notified.

• Ensure invoices are sorted in good order and duplicated in accordance for execution of shipment export or delivery to dealers, customers and DCs
• Check and validate billing documents through CRM WebUI
• Lead, troubleshoot and resolve various grief issues through close liaison with OB operations and various IT support teams (CRM support team/D7 Invoicing team/ APSSC team and OneSource platform)
• Ensure invoices are forwarded to service providers within stipulated KPI timeline for their shipping document preparation
• Ensure prompt communication with GTS team on ECL completion through email
• Tally check on physical cargo quantity/case accuracy against packing list
• Close coordination on daily cargo collection with Transporter and Operations
• Provide support on additional tasks required for special / emergency outbound shipments
• Close coordination with vendors, internal and external customers on billing document availability and accuracy
• Consolidate quarter-end report on invoiced not ship invoices on last day of every quarter
• Any other tasks as and when assigned by Supervisor

Job Requirements

• Diploma or equivalent with at least 1 years of working experience in supply chain / freight forwarding / shipping or transportation operations
• Familiar with shipping Incoterms and good knowledge of export customs procedures (Example, types of customs permits, HS codes, Chamber CoO application)
• Possess knowledge in dangerous goods (DG) management and transportation (IMDG / IATA) and experience in warehouse operations will be an added advantage
• Good interpersonal and communication skills with fluency of English language and strong capability in communicating with various team members with positive vibes
• IT savvy and proficiency in using MS Office (Words, Excel, Powerpoint), SAP
• Possess good analytic skills
• Possess positive and willing-to-learn attitude; and a self-starter who takes initiative to proactively seeks clarity when in doubt and resolve issues independently
• Willing to take on additional new tasks proactively when assigned and capable of achieving result
• Strong capability to plan, prioritize and multi-task to meet tight datelines and monthly KPI metrics
• Strong adaptability in working with uncertainties and capability in embracing change positively
• Capable to work independently and as a team player with minimum supervision

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.