Staff Software Engineer

Product Designer, Salesforce Field Service Management

Testing

Embedded Manager - Sensors

Gen AI Solution Architect

Lead Software Engineer, QA

Senior Data Engineer

Cloud Engineer

Signal Integrity Test Engineer

Data Scientist

Responsibilities: <ul><li>Develop software portable to a wide variety of project applications and platforms through the entire software lifecycle.&nbsp;</li><li>Perform technical analysis of candidate software, firmware, and hardware systems.&nbsp;</li><li>Develop test plans, test frameworks and unit tests.&nbsp;</li><li>Lead the project interface between business teams and technical teams to translate business requirements into technical solutions.&nbsp;</li><li>Collaborate effectively with other project team members to develop new concepts and projects.</li></ul> Requirements: <ul><li>Engineering degree in Computer Science, Electrical/Electronics/ Communication Engineering or related subject is required (2:1 or higher).&nbsp;</li><li>Proficiency in multiple relevant programming languages (E.g. C/C++/Python) is required.&nbsp;</li><li>Proficiency in utilizing devops tools such as Github or Gitlab is required.&nbsp;</li><li>Competency with embedded Linux (e.g. Buildroot or Yocto) is required.&nbsp;</li><li>Competency with bare metal development for microcontroller families such as STM32 or Nordic nRF is required.&nbsp;</li><li>Competency in an IoT protocol such as MQTT or CoAP, is required.&nbsp;</li><li>Demonstrable awareness and participation in other engineering disciplines such as electronics or mechanical engineering is preferred.&nbsp;</li><li>Experience with embedded RTOS (e.g. FreeRTOS or Zephyr) is preferred.&nbsp;</li><li>Knowledge of AI and machine learning concepts and algorithms is preferred.&nbsp;</li><li>Familiarity with cloud platforms such as AWS, in particular elements related to IoT service deployment is preferred.&nbsp;</li></ul> Critical Experience: <ul><li>8+ years relevant experience in embedded software development.&nbsp;</li><li>Demonstrable track record in leading the software element of complex projects.&nbsp;</li><li>Strong communication skills for collaborating with project team members, customers, internal business and technology leaders.&nbsp;</li><li>Proven ability to execute engineering deliverables.&nbsp;</li><li>Self-starter able to work independently and multitask with strong project planning skills.</li></ul>

Responsibilities: <ul><li>Create personas and user stories to ensure the product addresses real-world needs.</li><li>Run tests with real users to validate design solutions and identify areas for improvement.</li><li>Collaborate with product managers, developers, and other stakeholders to align on business goals, technical constraints, and user needs.</li><li>Contribute to Salesforces design system to ensure consistency across the Field Service product suite.</li><li>Create user flows and wireframes that streamline field service operations, ensuring that both the service agents and dispatchers can work efficiently.</li></ul> Requirements: <ul><li>Salesforce Platform Experience: A strong understanding of Salesforce core features, data models, security settings, and integration capabilities is necessary.&nbsp;</li><li>Strong technical and functional proficiency in Salesforce administrative tasks</li><li>Data Standards &amp; Modelling: A good understanding of Salesforce data models is essential for success in this role.</li><li>Declarative Development: Proficiency with Salesforce declarative tools such as Process Builder, Flows, and Validation Rules is a strong asset.</li><li>Custom Development Knowledge: Familiarity with Salesforce development frameworks like Apex, Lightning Web Components (LWC), and Visualforce will provide an advantage.</li><li>Integration &amp; APIs: Experience with Salesforce integration methods (REST/SOAP APIs) and familiarity with middleware solutions is a plus.</li><li>Salesforce Field Service Expertise: This is a desirable skill but not mandatory. On-the-job learning will be supported.</li><li>Salesforce platform experience, administrative task, integration, API, Salesforce integration methods, Data model.</li><li>APEX &amp; LWC</li></ul>

<h2>About the job</h2> About Tabsquare TabSquare provides AI-powered technology solutions for the F&amp;B industry. Through TabSquares solutions, restaurants can efficiently manage orders, process payments, and effectively engage with their customers. TabSquare assists partner restaurants in driving higher sales, streamlining operations, and delivering an enhanced customer experience. TabSquare is a market leader with operations in Singapore, Malaysia, Indonesia, Australia, the Philippines, Taiwan, Thailand, Hong Kong, Sweden, and the UAE. Trusted by thousands of restaurants, TabSquares clients include well-known F&amp;B brands such as Pizza Hut, KFC, Minor Food Group, Sushi Tei, Paradise Food Group, Japan Foods Holding, Zingrill Holdings, The Coffee Club, Old Town White Coffee, Secret Recipe, and many more. TabSquare is a wholly owned subsidiary of Delivery Hero, a global leader in the food delivery industry. For more information, visit <a href="http://www.tabsquare.ai/" rel="noopener noreferrer" target="_blank" style="color: var(--color-text);">http://www.tabsquare.ai</a> Responsibilities: <ul><li>Estimate, plan, prioritize and coordinate testing activities for the cross functional QA team.</li><li>Review requirements, specifications or design documents to provide timely and meaningful feedback</li><li>Create detailed, comprehensive, and well-structured documentations, test plans and test cases.</li><li>To perform system testing and end-user testing on our suite of solutions (end to end); comprising web-based applications, mobile apps on both Android and iOS platforms.</li><li>Track QA metrics, like defect densities and open defect counts and do updates on daily, weekly and monthly basis. </li><li>Design, develop and execute Automation Scripts using Katalon Studio / Selenium or similar tools.</li><li>Support and manage UAT, Sanity, Regression activities in multiple environments.</li><li>Monitor, debug and compare the system logs, error using Datadog in multiple environments.</li><li>Work closely with the stakeholders, engineering team and also the product team, to ensure the quality/stability of the software releases.</li><li>Research on new technologies or market trends, to be able to propose new solutions/features, recommendations or ideas to improve the software solution.</li><li>Adopts and improves all required QA Processes, SOP and Ground Rules as needed.</li><li>Perform other relevant duties as assigned by Head/Managers.</li></ul> The Employee, as per business needs, may be required to undertake any other such duties as may be assigned in line with the employee’s position, skills, and capabilities. Requirements: <ul><li>Bachelors degree in Computer Science / Application or related major.</li><li>Minimum 4-6 years of hands-on experience in Manual &amp; Automation Testing.</li><li>Excellent communication skills and a good command of English.</li><li>Self-motivated, detail-oriented, with strong analytical and problem solving skills. Able to work independently with minimum supervision.</li><li>Good understanding of the software development, testing &amp; bug life cycle process.</li><li>Strong technical experience and ability to automate tests using Java, JS or Python.</li><li>Technical experience with API’s, JSON, SQL, HTML and tools like Postman to check &amp; validate test results.</li><li>Technical experience with CI/CD tools like Jenkins, Gitlab and Load Test tools like Locust, JMeter.</li></ul> Tools / Technology: Selenium, Cucumber, Java, Rest Assured, Katalon, Appium, JMeter, Locust, TestRail, Datadog, PostMan, Sequel Pro, Slack, Atlassian.

About role <ul><li>As a Manager, Embedded Software Engineering, you will be responsible for managing Platform developments requiring software development (embedded software, firmware) for the sensor products to grow the sensors portfolio serving the Industrial &amp; Medical markets.&nbsp;</li><li>This leader will build and lead a high-performing team of engineers that will engage with Global and Regional Engineering Teams in various Centers of Expertise all around the world.</li><li>The Manager, Embedded Software Engineering will engage and work with internal cross-functional engineering teams across the globe as well collaborate with internal and external technical partners of engineering teams/NPI teams. He/She will need to be comfortable, experienced, and adept working across time zones, geographical and organizational boundaries as well as ambiguity.</li><li>The Manager, Embedded Software Engineering will leverage a structured and systematic approach, applying best practices and Lean Product Development principles such as Front Loading, Risk Detection &amp; Countermeasures and Set Based Concurrent Engineering … all to ensure programs meet technical, performance &amp; product cost requirements, are completed on time and within the project budget.</li><li>The ideal candidate would be a highly experienced leader with vast experience developing and successfully delivering software in the industrial or medical markets, former Senior Design Engineer/Technologist, or a Senior Software Architect.&nbsp;</li><li>Also having experience of design for functional safety applications in Lean Product Development and DFSS frameworks, he/she can be proficient in IEC 61508 Functional Safety Standards. The Manager, Embedded Software Engineering, will bring know-how in CI/CD and highly efficient/automized agile developing processes&nbsp;</li></ul> Responsibilities: <ul><li>Leading IMS Sensor software development team, mainly working on software architecture, System and Software Design, Software development, CI/CD and Testing. Analyzing and elicit stakeholder (internal/external) requirements to generate software requirement.</li><li>Leading all aspects of the software development life cycle:</li><li>Requirements capture</li><li>Feasibility study and architecture definition</li><li>Software design and implementation</li><li>Integration and unit/validation testing</li><li>Ensure the link between the SW architecture and the SW development</li><li>&nbsp;Facilitate collaboration with international development teams</li><li>Leader of the software project team to develop new products/processes using DFSS tools &amp; techniques and software metrics</li><li>He/She will have to perform architecture and requirement review, challenging their consistency, maturing change request, and analyzing their risks and impacts</li><li>Work with hardware and project team to propose the hardware / software roadmap for the future, enabling SIL and cost reduction. He/She will also work with test/qualification team to ensure all the defined software is well tracked and validated.</li><li>Work closely with software project management, product line engineering and quality teams.</li><li>Perform firmware safety-oriented analysis (IEC 61508)</li><li>Leverage structured new product development process and participate to stage gate frameworks</li><li>Anticipate and alleviate bottlenecks, identify and mitigate risks, provide escalation management, anticipate and make tradeoffs and be responsible to ensure every aspect of the project is properly and promptly executed.</li><li>Constantly assess what is working, what is not working, identify areas for improvement and consistently drive continuous improvement.</li><li>Continuous training of employees and drive the exchange of experience.</li><li>Provide training, coaching, and mentoring to team members creating a team mindset and culture that is aligned with our clients core values.</li></ul> Requirements: <ul><li>Above average engineering degree in Computer Science, Electrical/Electronics/ Communication Engineering or related</li><li>12+ years of technical experience in delivering embedded software</li><li>Experience leading product development teams, ideally in cross-functional, multi-site environments and drive results in projects with multiple dependencies and constraints Excellent knowledge of Software Development Life Cycle (SDLC) and hands on experience in C/C++ programming and modern agile SW toolsets</li><li>Experience in Microcontroller based system development (using ARM based microcontrollers)</li><li>Experience in wireless protocols LoRaWAN or LPWAN, MQTT, ZigBee, Bluetooth 5.1 supporting BLE protocol and IoT infrastructure</li><li>Expertise in secured bootloader</li><li>Expertise in UML / SYSML using Enterprise Architect or MathWorks System Composer</li><li>Expertise in SW-DFMEA</li><li>Experience with secure and safe coding standards for C/C++ (CERT SEI / MISRA C, etc.)</li><li>Good knowledge of Key Peripherals: ADC, GPIO, SPI, I2C, UART, etc.</li><li>Good experience in application lifecycle management as CodeBeamer</li><li>Good experience in configuration management (Git / Gitlab)</li><li>Good experience in continuous integration and continuous testing</li><li>Good experience in Vectors tools: CANoe / CANalyser</li><li>HW skills: Able to read HW schematics</li><li>Good knowledge on Software / Hardware debugging tools, Oscilloscopes, JTAG, Logic Analyzers</li></ul>&nbsp;Qualification: <ul><li>Functional Safety (SIL) Knowledge and Expertise</li><li>Experience in sensor technology</li><li>DFSS certification</li><li>LEAN development experiences</li><li>Power Management knowledge</li><li>Unified Diagnostic Services (UDS) knowledge</li><li>Python coding knowledge</li></ul>&nbsp;Motivation/Culture Fit: <ul><li>Result driven</li><li>Problem solving</li><li>Clear and concise communication</li><li>Passion for technology and innovation</li><li>Cross-Team Collaboration</li></ul>

Role Description: <ul><li>The AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones.</li><li>The ideal candidate should be passionate about designing, building, implementing, and maintaining AI/ML/Generative AI applications.</li><li>Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process.</li><li>The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps.</li><li>The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services.</li><li>This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position.</li></ul> Responsibilities: <ul><li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.</li><li>Data Analysis, Tool and Framework selection, Model Development, Testing and Deployment.</li><li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions.</li><li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li><li>Understand and contribute to MLOps and LLMOps focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li><li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.</li><li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.</li><li>Audit AI tools and practices across data, models and software engineering focusing on continuous improvement and feedback mechanisms.</li><li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li><li>Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments.</li><li>Work closely with the business, segment analytics, IT teams and partners to deliver the outcome and help drive adoption.&nbsp;</li><li>Hands-on prototyping of new technology solutions by working with cross teams</li></ul>&nbsp;Requirements: <ul><li>15+ Years of Experience operating on AWS Cloud or other cloud hyperscalers with building Data and AI Solutions</li><li>15+ Years of Experience Data Warehouses, Data Lakes and Data Modelling techniques</li><li>15 + years of experience in Data Science, Statistics, and Machine Learning</li><li>15+ years of experience in machine learning model development, natural language processing, and data analysis;</li><li>Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.</li><li>15+ years of experience in implementing cloud-based AI/ML workloads on any cloud hyperscalers (AWS, Google or Azure).</li><li>Good understanding and implementation experience on GenAI models available with Cloud hyperscalers. AWS Bedrock experience is a plus but not required.</li><li>15+ Years of coding experience with Python, R, SQL etc.</li><li>Hands on experience working with LLM/RAG/Finetuning</li><li>Experience working on Agile projects and Agile methodology in general.</li><li>Experience in configuration management tools and defining configuration management schema</li><li>Excellent problem solving, communications, and teamwork skills.</li><li>Exceptional presentation, visualization, and analysis skills</li></ul> Motivational/Cultural Fit <ul><li>Innovation demeanor Problem solving.</li><li>Passion for technology.</li><li>Self development.</li><li>Results driven.</li><li>Clear and concise communication both locally and globally.</li></ul> Competencies <ul><li>Values: Integrity, Accountability, Teamwork, Innovation.</li><li>Knowledge of business ethics and Ethical Sourcing Requirements.</li><li>Ability to influence at an Executive Level both internally and externally.</li><li>Ability to lead and influence peer groups both internally and externally.</li><li>Knowledge of Total Cost of Ownership methodology (TCO).</li><li>Distributor/Supplier dynamics &amp; business models.</li><li>Knowledge of critical procurement legal requirements and contracting best practices a plus.</li></ul>

Role Description: <ul><li>Company’s Global R&amp;D team is looking for embedded software engineers and technical leaders to help build the future of industrial Automation &amp; Solutions.</li><li>You will have cross functional interactions and working closely with hardware, software, and product management teams.</li></ul> Responsibilities: As a Lead Software Engineer, the individual will work be in Embedded Software Development team. <ul><li>You provide the embedded platform infrastructure to enable our Industrial Networking Products.</li><li>You dedicate your creativity to a cross-functional, self-organized, agile team of developers.</li><li>You communicate with product owners, software architects and application developers in an intercultural and global work environment.</li><li>You contribute to the implementation of a Linux based Operating system for in-field embedded device families.</li><li>You assure the secure development life cycle of the platform and harden the attack surface of devices.</li><li>You will be part of the Software Platforms Teams, working on the development of in-house cybersecurity device software development for Industrial networks.</li><li>You will be building Firewall software for industrial routers which are complex multicore, multi-threaded software systems supporting high-availability, hundreds of network protocols and delivering high throughput packet forwarding.</li><li>Building brand new products, supporting new features, feature enhancements and sustenance of products across the R&amp;D product portfolio, using company’s device software running on company hardware.</li></ul> Requirements: <ul><li>You are a person with passion for coding and creating world class software systems for large organizations.</li><li>A Full time Bachelor/Master of Engineering Degree in Computer Science or equivalent.</li><li>You are able to abstract and use your creativity for disruptive solutions.</li><li>You are fluent in spoken and written English and have the ability or willingness to work in a Global environment</li><li>8 – 12 years’ experience in a product-based organization developing embedded software for Enterprise, Industrial Automation or Service Providers industry.</li><li>Solid understanding of embedded systems architecture, including microcontrollers, microprocessors, and real-time operating systems.</li><li>Ability to work on complex modular software systems, algorithms and be able to design, code, debug and automate software.</li><li>Expertise in C/C++ programming, data structures, Algorithms &amp; debugging tools.</li><li>Expertise in Linux based environment, with extensive knowledge of Linux Internals.</li><li>Hands-on operating systems, IPCs &amp; multi-thread programming experience.</li><li>Advanced working level knowledge of Computer networks and Network protocols in TCP/IP, switching (L2), routing (L3) &amp; security protocols.</li><li>One or more areas like QOS, Segment Routing, Multicast &amp; MPLS.</li><li>Ability to work with existing code base.</li><li>Hands-on experience in Versioning and Git/GitHub/Bitbucket repository.</li><li>Experience with Unit test strategy and execution.</li><li>Experience with Python or equivalent scripting languages</li><li>Experience with packet generating and network test tools.</li><li>Prior experience with any network OS provided by Networking companies like CISCO -IOS/IOS-XE/IOS-XR.</li><li>Designing &amp; understanding of network topologies &amp; deployment.</li><li>Linux containers and dockers.</li></ul>

Responsibilities: <ul><li>Develop and maintain data pipelines for efficient extraction, transformation, and loading (ETL) processes.</li><li>Design and optimize data storage solutions, including Amazon Redshift data warehouses and Amazon S3 data lakes</li><li>Ensure data quality and integrity through validation, cleansing, and error handling processes.</li><li>Collaborate with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets for business intelligence.</li><li>Implement data security measures and access controls to protect sensitive information.</li><li>Automate and improve data processes and workflows for scalability and efficiency.</li><li>Monitor data infrastructure performance and address any issues promptly.</li><li>Stay updated on industry trends and emerging technologies in data engineering.</li><li>Document data pipelines, processes, and best practices to facilitate knowledge sharing.</li><li>Continuously optimize data architecture to support the companys evolving data needs.</li><li>Work cross-functionally to drive data-driven decision-making within the organization.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Technology.</li><li>Minimum 6 years of experience in data engineering - CS</li><li>Knowledge of AWS services, particularly Glue, Redshift and S3.</li><li>Data Storage and Management - Amazon S3, Amazon RDS and DynamoDB</li><li>Data Processing and ETL - AWS Glue</li><li>Data Warehousing - Amazon Redshift</li><li>Programming and Scripting:</li><li>Proficiency in languages like Python, Java, or Scala for data manipulation and automation.</li><li>Data Modeling and Architecture&nbsp;</li><li>Monitoring and Optimization - Using AWS CloudWatch for monitoring and optimizing data workflows</li><li>Proficiency in SQL and database management.</li><li>Experience with ETL (Extract, Transform, Load) processes.</li><li>Familiarity with data warehousing and cloud platforms (AWS, Azure, or Google Cloud).</li><li>Strong data modeling skills</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain cloud-based infrastructure using AWS or Google Cloud.</li><li>Ensure compliance with asset management regulations in relevant countries.</li><li>Monitor and optimize cloud resources for performance, cost, and security.</li><li>Collaborate with cross-functional teams to develop and implement cloud solutions.</li><li>Troubleshoot and resolve cloud-related issues promptly.</li><li>Develop and maintain documentation for cloud infrastructure and processes.</li><li>Stay updated with the latest cloud technologies and best practices.</li><li>Managing cloud environments in accordance with company policies and security guidelines.</li><li>Developing, deploying and debugging IaC code (Cloud formation and Terraform).</li><li>Interacting with users, providing cloud support, and making recommendations based on user needs.</li><li>Employing exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems.</li><li>Educating teams on the implementation of new cloud technologies and initiatives.</li><li>Regularly reviewing existing systems and making recommendations for improvements.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>3-7 years of experience in cloud engineering, with a focus on AWS or Google Cloud.</li><li>Experience in the financial services industry.</li><li>Strong understanding of cloud security, networking, and cost management.</li><li>Knowledge of DevOps practices and tools.</li><li>Familiarity with asset management regulations in countries where UOB Asset Management operates.</li><li>Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation.</li><li>Proficiency in scripting languages like Python, Bash, or PowerShell.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills. Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect)</li></ul>

Responsibilities: <ul><li>Review and confirm the test specification of new projects. Evaluate the test requirement of new projects.</li><li>Design and set up test systems for new projects.</li><li>Work with US team for test issues.</li><li>Control all testing equipment and fixtures for electrical lab.</li><li>Monitor all electrical testing process.</li><li>Prepare testing plan. Review test results.</li><li>Ensure test data integrity and proper reporting.</li><li>Solve problems on test.</li><li>Define test methods for new projects, deliver the new test methods to technicians and operators.</li><li>Get training from outside and deliver it inside.</li><li>Improve test process.</li><li>Support on lab management improvement. Develop the test capacity of the electrical test lab.</li></ul> Requirements: <ul><li>Bachelor’s degree, preferably major in electronic information technology or computer.</li><li>Adept in hardware test methodologies, especially for electrical and SI test.&nbsp;</li><li>Good experience in C#, Python or VB, can create software to do test/analysis easier.</li><li>Adept in test equipment: TDR (Time Domain Reflectometer), NA (Network Analyzer), Oscillograph, Data Timing Generator, LCR Meter, Hi-pot, Milliohm Meter, Microohm Meter, Megohm Meter, Thermal Chamber.</li><li>Adept in signal integrity test. Familiarity with the elements and testing methods of Insertion Loss, Impedance, Return Loss, Time Delay Skew, SCD21.......</li><li>Familiarity with the product verification testing. Good experience in setting up new test system, drafting test plans and documents.</li><li>Good measurement capability and analysis capability.&nbsp;</li><li>Familiarity with standards and products, such as QSFP, SFP+, PCI-E, DisplayPort, HDMI, SATA, Minis-SAS, USB…</li><li>Adept in MSA.</li><li>Fluent English both in verbal and written.</li><li>Strong PC skills. Adept in hardware and software. Adept in MS Office.</li></ul>

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

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14 python Jobs found

Staff Software Engineer

Product Designer, Salesforce Field Service Management

Testing

Embedded Manager - Sensors

Gen AI Solution Architect

Lead Software Engineer, QA

Senior Data Engineer

Cloud Engineer

Signal Integrity Test Engineer

Data Scientist

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14 python Jobs found

Staff Software Engineer

Product Designer, Salesforce Field Service Management

Testing

Embedded Manager - Sensors

Gen AI Solution Architect

Lead Software Engineer, QA

Senior Data Engineer

Cloud Engineer

Signal Integrity Test Engineer

Data Scientist

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