Lead Software Engineer, QA

Senior Data Engineer

Cloud Engineer

123667 Test and Validation Engineer

Signal Integrity Test Engineer

Data Scientist

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

Product Specialist

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>Subject matter expert in high-speed test systems and validation activities through product development cycles</li><li>Establishing testing requirements for new products based on electrical and software specifications</li><li>Development of high-speed cables test systems/fixtures from conception to manufacturing deployment</li><li>Test system architecture, system diagramming, test software, hardware build, and validation into manufacturing of product</li><li>Creating actionable recommendations based upon design reviews and product specifications</li><li>Making data driven decisions about the product functionality and areas for improvement.</li></ul> Requirements: <ul><li>Bachelor’s degree in Electrical Engineering, Master’s degree preferred</li><li>Minimum of 10+ years of work experience in a high-speed test engineering role&nbsp;</li><li>Experience with cable/cable assembly designs (high speed twin-ax cables, direct attach copper (DAC) cables, active copper cables)</li><li>Experience with high speed test equipment (Digital Sampling Oscilloscope, Vector Network Analyzer, Bit Error Rate Tester, TDR, Pattern Generators, Power Supplies, etc.)</li><li>Strong experience with Python</li><li>Strong analytical capabilities to interpret test/lab data to identify issues and provide solutions to fix identified problem.&nbsp;&nbsp;</li><li>Experience in project leadership, especially as it applies across design, development &amp; manufacturing teams</li><li>Excellent verbal and written communication skills</li><li>Ability to work in a global environment – able to accommodate varying time zones, fluent in English (verbal/written), able to collaborate with individuals across geographies</li><li>Individual must be highly motivated, a quick learner, and able to work independently</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>

Responsibilities: Leadership and Management The Business Intelligence Manager will oversee all activities that optimize the value, cost and risk of BI/analytics applications: <ul><li>Independently lead and deliver a few analytics projects at a time. Acts as the analytics translator and negotiator between the business and data teams.</li><li>Work with BU CIOs and collaborate with other IT leaders to develop overall IT strategy in the context of the business strategy.</li><li>Develop productive relationships with business leaders across the organization to influence how BI/analytics applications can enable new sources of value.</li><li>Define and enhance methodologies and practices for the application life cycle management in line with best practice and practical experience of continuous improvement.</li><li>Own all communication channels pertaining to assigned projects, including regular stakeholder review meetings</li><li>Assist in managing analytics group personnel and in developing their skills and capabilities to meet the needs of the organization.</li><li>Implement and manage application life cycle management status reporting, metrics, and benchmarks.</li></ul> Behaviors and Competencies The Business Intelligence Manager acts in a leadership role and must demonstrate the following leadership attributes: <ul><li>The ability to uphold the goals and culture of the organization.</li><li>The ability to lead, enable and motivate teams by providing advice and guidance in an inclusive fashion.</li><li>An understanding of strategic business objectives and the ability to drive results toward those objectives.</li><li>Openness to, and the ability to deal with, rapid change in business needs, processes, and technologies.</li></ul> Requirements: Skills The Business Intelligence Manager must be able to demonstrate the following: <ul><li>Strong communication skills with a proven ability to understand key concepts and communicate effectively with all levels of staff.</li><li>Proven ability to communicate technical concepts to nontechnical people to enhance understanding and drive decisions that lead to positive outcomes.</li><li>Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix-management environment.&nbsp;</li><li>Strong organizational skills, the ability to perform under pressure and management of multiple priorities with competing demands for resources.</li><li>Strong analytical, data-processing and problem-solving skills.</li><li>Proficiency in process formulation and improvement.</li><li>Ability to operate and perform in a fast-paced environment managing few projects at a time</li></ul> Knowledge The Business Intelligence Manager must have an in-depth knowledge and experience of the following: <ul><li>Experience with data science, RPA, data visualization tools like Tableau and Power BI, UiPath and Python&nbsp;</li><li>IT BI/analytics applications, operations, service, and support organizations.</li><li>Data processing, analysis, and quality management tools.</li><li>Development and implementation of processes and policies.</li><li>Lean IT, agile development, and DevOps principles and frameworks.</li></ul> Experience The following experience is considered essential: <ul><li>Leading a team of at least 20 members in application development, implementation, or management.</li><li>Total 10+ years experience.</li><li>3-5+ years of experience in Software design/development, application architecture, project management, software as a service (SaaS), data management/governance, business intelligence and business process analysis.</li><li>3-5+ years of demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients.</li><li>5+ years of demonstrated experience in liaising with middle and senior management.&nbsp;</li><li>The following experience is considered desirable but not mandatory:</li><li>3-5+ years of experience working in the Manufacturing / Hi-Tech industry.</li><li>3-5+ years of experience in managing external IT service providers.</li><li>3-5+ years of experience managing the risk and cost implications of IT contracts or contract negotiations.</li><li>Membership of professional organizations, trade or user groups and a pattern of regular attendance at industry conferences to enhance knowledge of current technology.</li></ul> Education and Training <ul><li>An undergraduate or postgraduate degree in computer science, engineering, business management or a related field</li></ul>

Responsibilities: <ul><li>In this role, you will dive deep into the realm of IoT data, striving not only to predict equipment failures but also to gain a comprehensive understanding of the maintenance processes currently implemented across the 60+ countries where operates.&nbsp;</li><li>Your expertise will be instrumental in delivering actionable insights and innovative ideas aimed at extracting even greater value from our data for the benefit of our customers.</li><li>All decisions and recommendations should be backed by data.&nbsp;</li><li>While doing this, you get to solve challenging problems, experiment with generative AI and predictive analytics, and work with cutting-edge tools offered to us .&nbsp;</li><li> Responsible for delivering thousands of valuable insights each day to enhance the customer experience, underscoring the significance of your role in handling production workloads in the AWS cloud environment.</li><li>Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources</li><li>Create and manage data models to ensure data integrity and accessibility for analytics and reporting.Optimize and maintain databases (SQL, NoSQL) to ensure high performance and availability.</li><li>Implement data validation and monitoring processes to ensure data accuracy and reliability.</li></ul> Requirements: <ul><li>Degree in Software side - IT, CSC, BTech, MTech, MCA, Specialization in Data Science, Data engineering. Avoid candidates with Educational background in mechanical, civil and electrical engineering.&nbsp;</li><li>4+ years of data engineering experience.</li><li>Should be able to explain relevant experience in products or services worked for. Need candidates from service or product industry - data management / data analysis.&nbsp;</li><li>Proficiency with AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT</li><li>Experience with AWS Components</li><li>Experience in developing and maintaining data pipelines on AWS and Databricks</li><li>Coding proficiency with Python and SQL</li><li>Should have experience in generating reports from Dashboards like power BI, Tableau Qlik sense</li><li>Experience with software testing practices and DevOps practices</li><li>Understanding of cybersecurity guidelines, data privacy and compliancy regulations</li><li>Experience in working with IoT telemetry data, enterprise data landscapes and data structures</li><li>Experience in data engineering methods and practice</li><li>Experience in data engineering process improvements</li><li>Experience with industry best practices and technical design principles</li><li>In-depth process and data knowledge for the business domain</li><li>Additional responsibilities such as leading task forces and defect triages.&nbsp;</li></ul>

Responsibilities: <ul><li>Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.&nbsp;&nbsp;</li><li>Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.&nbsp;&nbsp;</li><li>Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.&nbsp;&nbsp;</li><li>Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.&nbsp;</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.&nbsp;</li><li>Contribute to the establishment of best practices and standards for generative AI development within the organization.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience&nbsp;</li><li>Minimum of five years of related work experience&nbsp;</li><li>You are proficient in Python and have experience with machine learning libraries and frameworks&nbsp;</li><li>Have deep understanding of industry leading Foundation Model capabilities and its application.&nbsp;&nbsp;</li><li>You are familiar with cloud-based Generative AI platforms and services&nbsp;</li><li>Full stack software engineering experience to build products using Foundation Models&nbsp;</li><li>Confirmed experience architecting applications, databases, services or integrations&nbsp;</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

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16 python Jobs found

Lead Software Engineer, QA

Senior Data Engineer

Cloud Engineer

123667 Test and Validation Engineer

Signal Integrity Test Engineer

Data Scientist

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

Product Specialist

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16 python Jobs found

Lead Software Engineer, QA

Senior Data Engineer

Cloud Engineer

123667 Test and Validation Engineer

Signal Integrity Test Engineer

Data Scientist

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

Product Specialist

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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COMPANY

Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.