1,302 Database Developers jobs in Singapore

We are looking for aspiring Data Engineer to join our product development team, you will be responsible for the design and implementation of data integration pipeline and asynchronous data event using event driven architecture approach to consolidate data from various sources and systems.

About the Role

• Collaborating with a team of highly skilled Software Engineers and Data Engineers in deploying and delivering software products.Actively participating in product enhancement, particularly in the areas of integration and UI, to improve product quality and reconfigurability.

• Taking ownership of the development of key software components.

• Design, develop and maintain scalable data models and schemas using various data modelling best practices.

• Design and develop integration connectors to facilitate data integration from multiple sources and systems, including databases, APIs, log files, streaming platforms, IoT end devices and external data providers.

• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis or reporting.

• Strong knowledge of data manipulation languages such as SQL necessary to build and maintain complex queries and data pipelines.

• Implement event-driven processing pipelines using frameworks like Solace Pubsub, Apache Kafka, MQTT, AMQP.

• Ensure compliance to data governance policies and standards to ensure data quality, integrity, security and consistency.

• Experience working in a dynamic environment with managing senior stakeholders from different organisations and agencies.

Requirements

• Bachelor's/Master's degree specializing in Computer Science / Engineering / Industrial Engineering or related field. Diploma holders with relevant experience are encouraged to apply.

• Proficiency in at least one object-oriented language; Java skills are highly desirable.

• Deep understanding in designing, implementing data lifecycle management.

• Deep understanding of Event driven architecture, data producers and consumers.

• Knowledge on data analytics pipeline, data lakehouse & warehouse concept. Curate data for exporting to data analytics tools for data processing pipeline to provide business analytics outcomes

• Working location: AMK area

• Singaporeans

Maestro HR

damien lee tian hong

R1106726

16C8462

Join to apply for the Data Engineer role at SMRT Corporation Ltd

Join to apply for the Data Engineer role at SMRT Corporation Ltd

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Job Purpose

The Data Engineer will be part of the team to develop operation & maintenance decision-support tools to enhance train reliability and maintenance efficiency. This position involves designing, developing, and maintaining data pipelines, APIs, and cloud infrastructure for various rail-oriented applications. The ideal candidate will have expertise in data analysis, transformation, ingestion, database design, API development, and preferably, cloud infrastructure setup. Collaborating closely with software engineers, data scientists, and frontend developers, the Data Engineer will contribute to building efficient, scalable, and reliable systems.

Job Purpose

The Data Engineer will be part of the team to develop operation & maintenance decision-support tools to enhance train reliability and maintenance efficiency. This position involves designing, developing, and maintaining data pipelines, APIs, and cloud infrastructure for various rail-oriented applications. The ideal candidate will have expertise in data analysis, transformation, ingestion, database design, API development, and preferably, cloud infrastructure setup. Collaborating closely with software engineers, data scientists, and frontend developers, the Data Engineer will contribute to building efficient, scalable, and reliable systems.

Responsibilities

The duties and responsibilities for Data Engineer, are as listed below. The list is not comprehensive and related duties and responsibilities may be assigned from time to time.

Data Engineering & Processing

• Develop and maintain data pipelines for efficient data ingestion and transformation.
• Work with structured and unstructured data to ensure optimal storage and retrieval.
• Perform data analysis and report on results.
  
  
  

• Design and implement relational and NoSQL database schemas for scalability.
• Optimize database performance through indexing, partitioning, and query tuning.
• Implement data security and compliance best practices.
  
  
  

• Design and develop APIs for data access and application integration.
• Implement authentication, authorization, and API security best practices.
  
  
  

• Assist in design Azure cloud architectures
• Work with IT infrastructure team to set up cloud infrastructure for application hosting, data storage and processing.
  
  
  

• Collaborate with internal stakeholders to understand their business needs.
• Work with software engineers, data scientist, frontend developer to understand the data requirement and design architecture of the data platform.
• Implement CI/CD pipelines for automated testing, deployment and monitoring.
• Write testable and maintainable code and documentation to deploy to production.
• Engage continuously with end-user for feedback and improvements.
  
  
  

• Degree in Science, Technology, Engineering or Mathematics (STEM)
• Previous experience as a data engineer or in a similar role
• Data engineering certification is a plus
• Knowledge of security best practices in cloud and database management is a plus
  
  
  

• Programming and Data processing: MATLAB, Python, SQL, or similar languages.
• Databases: My SQL, SQL Server, MongoDB or similar.
• Cloud Platforms: Azure
• DevOps & CI/CD: Git Lab CI/CD, Docker
  
  
  

• Strong inclination and eager for continual learning and development
• Strong team player
• Critical thinking and problem-solving skills
• Ability to understand and explain complex data and effective interactions with the stakeholders
• Ability to think independently and actively propose solutions to the team.
  
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology

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Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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Join to apply for the Data Engineer role at Singtel

Join to apply for the Data Engineer role at Singtel

An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.

Be a Part of Something BIG!

• Responsible for building and supporting data ingestion and transformation pipelines in a modern hybrid cloud platform
• Independently develop basic batch and streaming pipelines, working with cloud tools such as Databricks and Kafka under the guidance of senior engineers
• Contribute to the delivery of reliable, secure, and high-quality data for analytics, reporting, and machine learning use cases
• Gain exposure to enterprise-scale data architecture, while growing into more advanced engineering responsibilities over time.
  
  

• Build and maintain data ingestion pipelines for batch and streaming data sources using tools like Databricks and Kafka
• Perform data transformation and cleansing using PySpark or SQL based on business and technical requirements
• Monitor and troubleshoot data workflows to ensure data quality and pipeline reliability
• Work closely with senior data engineers to understand platform architecture and apply best practices in pipeline design
• Assist in integrating data from diverse source systems (files, APIs, databases, streaming)
• Help maintain metadata and pipeline documentation for transparency and traceability
• Participate in integrating pipelines with tools such as Microsoft Fabric, Databricks, Delta Lake, and other platform components
• Contribute to automation efforts using version control and CI/CD workflows
• Apply basic data governance and access control policies during implementatio
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 1–3 years of experience in data engineering or data platform development
• Proven ability to independently build basic batch or streaming data pipelines
• Hands-on experience with Python and SQL for data transformation and validation
• Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts
• Self-starter with strong problem-solving skills and a keen attention to detail
• Able to work independently while collaborating effectively with senior engineers and other stakeholders
• Strong documentation and communication skills.
  
  

• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Telecommunications

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Downtown Core, Central Singapore Community Development Council, Singapore 1 week ago

Queenstown, Central Singapore Community Development Council, Singapore 5 months ago

South East Community Development Council, Singapore 1 week ago

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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks, capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. You’ll work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cybersecurity, and B2C platforms.
In addition, Value Added Services (VAS) - VAS Digital Marketing is a key growth strategy for Visa globally, aimed at diversifying Visa’s revenue with products and solutions that differentiate its network and deliver valuable solutions across other networks.

The Opportunity:
We are developing and executing a shared strategic vision for products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of a world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated, versatile and energetic individual with software engineering skills and expertise with Java & Web technologies, who embraces solving complex challenges on a global scale. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and managing applications globally used by Visa cardholders. Candidate must be flexible and willing to switch tasks based on team's needs.

You will use your Java skills and experience with various technologies to design, develop, test, and deploy high-quality code that meets stringent business, security, and resiliency requirements. You will collaborate with other teams, vendors, and stakeholders to ensure the smooth delivery and operation of the application. You will have the opportunity to learn and apply new technologies and frameworks, such as AI and generative AI, to enhance the functionality and performance of the application.

Primary responsibilities will include:
• Design, develop, test, document, and implement new applications and enhance existing systems to ensure high performance and reliability.
• Write secure, maintainable, and efficient code that adheres to Java best practices, organizational and security standards.
• Create and maintain comprehensive technical documentation, including design changes and architectural decisions, using Wiki or similar tools.
• Participate in code and design review sessions to ensure high-quality deliverables and adherence to development standards.
• Collaborate with architects, product owners, and technical stakeholders to deliver products that meet business requirements and leverage modern technologies.
• Identify and recommend opportunities for process improvements, enhancements, and adoption of best practices within the development team.
• Mentor and support junior developers, fostering knowledge sharing and contributing to the development of departmental procedures and standards.
• Coordinate and contribute to Continuous Integration (CI) activities and the implementation of automated testing frameworks.
• Develop proof-of-concepts (POCs) and prototypes to validate ideas and quickly iterate new features or enhancements.
• Communicate technical solutions, project status, issues, and risks effectively to both technical and non-technical stakeholders.
• Ensure the delivery of high-quality, defect-free code and take accountability for meeting project timelines and quality standards.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Basic Qualifications

• Bachelors degree, OR 3+ years of relevant work experience.

Preferred Skills & Qualifications

• Hands-on experience with Java-related technology stack.
• Hands-on experience developing REST APIs using Spring Boot.
• Experience implementing API security best practices, including authentication and authorization.
• Experience working with Microservices Architecture.
• Strong SQL skills for data querying, analysis, and manipulation using MySQL databases.
• Hands-on experience with Docker for containerization.
• Experience with real-time data streaming using Kafka.

Additional Technical Skills

• Experience in Spring WebFlux and reactive programming is a plus.
• Experience with orchestration tools such as Kubernetes is an advantage.
• Exposure to data engineering frameworks such as Apache Spark or Hadoop is an advantage.
• Exposure to UI frameworks and frontend development using Angular or React, JavaScript, HTML, and CSS is a plus.
• Interest or experience in AI and generative AI is an advantage.
• Proficiency in object-oriented design and software design principles.
• Basic understanding of secure coding practices.
• Familiarity with version control systems (Git/Stash), build tools (Maven), and CI/CD tools (Jenkins).
• Comfortable with Unix/Linux operating systems and shell scripting.

Development Practices & Soft Skills

• Experience with Agile methodologies (Scrum, sprints) and tools (e.g., Jira) preferred.
• Solid foundation in computer science, including data structures and algorithms.
• Willingness to learn and improve coding skills, especially in Java or Scala.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.`

One of our key Financial Services clients is looking for a Lead Data Engineer for a senior position based in Singapore.

Job Description

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

Your Role

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

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

• Bachelor’s degree in computer science, Data Engineering, Information Technology, or a related field.
• At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

What's on Offer

Bounteous brings together 5000+ employees spanning North America, APAC, and EMEA, and partnerships with leading technology providers. Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win.

Bounteous is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous. Bounteous does not discriminate on the basis of race, religion, colour, gender identity, sexual orientation, age, physical or mental disability, national origin, or any other status protected under state, or local law.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting and Financial Services

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Downtown Core, Central Singapore Community Development Council, Singapore 1 week ago

Queenstown, Central Singapore Community Development Council, Singapore 5 months ago

South East Community Development Council, Singapore 1 week ago

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Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

If you have a passion for sports analytics , love working with Python, R, SQL , and enjoy building data pipelines and visualizations in Tableau, Power BI, and Matplotlib , this is your opportunity to play a pivotal role in shaping the future of data-driven sports performance.

• Develop scalable ETL pipelines to process performance and tracking data , ensuring seamless flow from data capture to analysis.
• Analyze and optimize sports data , translating raw sensor readings into meaningful performance metrics for athletes and coaches.
• Leverage Python, R, and SQL to build advanced analytics models, unlocking deeper insights into player performance.
• Create intuitive dashboards and reports using Tableau, Power BI, and Matplotlib , enabling users to visualize and interpret data effectively.
• Ensure data accuracy, consistency, and accessibility , collaborating with sports scientists, product teams, and software engineers.
• Continuously improve data workflows to enhance efficiency and support real-time analytics for Rapsodo’s cutting-edge sports products.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related field (or equivalent hands-on experience ).
• 3-5 years of experience in data engineering, analytics, or a related role.
• Strong proficiency in Python, R, and SQL for data transformation and statistical analysis.
• Experience working with sensor-based data or time-series data (preferred ).
• Hands-on expertise in Tableau, Power BI, and Matplotlib for creating insightful visualizations.
• A passion for sports analytics and the ability to bridge the gap between raw data and real-world performance insights .
• Strong problem-solving skills and the ability to work independently in a fast-paced environment.
• Excellent communication skills , able to collaborate effectively with both technical and non-technical stakeholders.

At Rapsodo, you'll help to drive innovation in sports analytics . You’ll work with state-of-the-art tracking technology to develop high-performance data systems that transform complex data into actionable insights for athletes and coaches. You’ll have the opportunity to collaborate with athletes, engineers, and product teams, pushing the boundaries of real-time analytics .

If you're passionate about solving complex data challenges , optimizing large-scale data workflows , and shaping the future of sports technology , we’d love to hear from you!

Paradex isn’t just another decentralized exchange—it’s a Super App. We’ve combined three powerful financial primitives: Exchange, Asset Management, and Borrow/Lend Markets, all seamlessly composable and accessible through one unified account that uses your entire portfolio as collateral, including any spot and derivative assets. Trade, earn, borrow, lend, and grow your on-chain identity—all in one place.Backed by top-tier investors and incubated by Paradigm, we are scaling rapidly. Come help us grow!

Your Mission
As a vital member of our data engineering team, you’ll architect and implement robust data infrastructure that transforms raw data into actionable insights. You’ll work on building scalable pipelines and data models that power critical decision-making across the organization. Your expertise will be crucial in establishing data best practices and ensuring data quality, accessibility, and reliability throughout our systems.

What You’ll Do

• Design & Build: Create and maintain scalable data pipelines, ETL processes, and data warehousing solutions that handle complex data requirements.
• Optimize & Scale: Improve data infrastructure performance, implement data quality measures, and develop automated monitoring systems.
• Empower & Enable: Partner with product, engineering and go-to-market teams to deliver data solutions that drive strategic insights.
• Rapid Response: Quickly address time-sensitive data needs and ad-hoc requests from stakeholders, turning around critical analyses and data solutions with urgency while maintaining accuracy.

• Expertise: 7+ years of data engineering experience
• Data Architecture: Deep knowledge of data modeling, warehouse design, and ETL best practices.
• Technical Mastery: Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS.
• Systems Thinking: Experience with distributed systems, data streaming (Kafka/Kinesis), and optimization of large-scale data workflows.
• Agility: Proven track record of efficiently tackling urgent data requests and providing quick solutions to business-critical data needs.

At Paradex we're doing something different. Moving forward we ask all candidates to send in a video with their application, telling us why they want to be part of the team.
The video should be no longer than 1 minute and via a link to a streaming platform of your choice. (No files or download links will be accepted)

• Competitive Pay: Top-tier compensation in the industry.
• Generous PTO : Unlimited vacation.
• Full Benefits : Comprehensive packages tailored by country.
• Technology & Learning Allowances : 3,500 USD for your first-year setup, $2,000 USD refresh every 2 years, plus $1,000 USD annually for learning and development

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At Paradigm and Paradex we thrive when working with passionate people. Send us a 60 second video telling us why you want to be part of our team.

About Us

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 900+ employees across 18 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

About The Team

The most tech people of our Data & Consulting division, the title of ‘Data engineer’ or ‘Software engineer’ does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.

You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Ali Cloud & Azure & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.

About The Role

Key Areas of Responsibility

1. Securing delivery on your projects
2. Ensuring that your solutions are bringing values to the client problematic
3. Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
4. Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
5. Researching and developing new technical approaches to address problems efficiently

Competences & Skills

1. Bachelor Degree or Above in Computer Science, Statistics, Software Engineering, or related field
2. Hands-on experience in developing and applying data-driven solutions with right technical architecture
3. Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
4. Experience with Python, Linux, SQL, Scala or other popular programming languages
5. Experience with Spark, Hadoop, Hive, Mapreduce, Flink and related big data technologies
6. Experience with Docker, Kubernetes, CI/CD, Terraform, etc.
7. Experience with Cloud service (Ali Cloud, Azure, AWS)
8. Experience with AI and machine learning algorithms model building and AI analytics product deployment.
9. Experience with Java web development (e.g. Java Spring framework) and frontend development is a plus.
10. Must be native Chinese (Mandarin) speaker, and fluent in English

Our Belief

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society.

Our Mission

We are on a mission to build the next generation of data leaders who:

1. Fully capture the power of data & digital to deliver business value;
2. Bring understanding, trust & transparency of data into our society.

Our Values

1. Collaboration: People of different background and expertise working closely together;
2. Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations;
3. Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data;
4. Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality.
5. We bring great value to business and create a better society with the understanding, transparency and ethical use of data;
6. We build the next generation of data leaders;
7. We disrupt the market:
8. Data Native - Born with data and defining data;
9. ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer);
10. One P&L - Integrated & collaborative, with all chapters working toward the same goal;
11. End to End - Capabilities from Strategize to Build to Run.

PLAUD AI is a pioneering AI-native hardware and software company that turns meetings and conversations into actionable insights with AI devices like PLAUD NOTE and PLAUD NotePin. By recording, transcribing, and summarizing real-life conversations, our solutions boost productivity and save time. Designed for precision and flexibility, whether in meetings or on the go, our products empower you to focus on creative, high-value work while AI handles the details.

We are a growing global team of hardware and software experts seeking advanced AI innovations that integrate with real-life user scenarios. Our newly established headquarters in San Francisco will collaborate with our teams in Shenzhen, Beijing, and Tokyo to extend AI benefits to users globally.

Visit to learn more.

• Join a skyrocketing team where your impact drives success and your career reaches new heights, along with what we have achieved, as shared below.
• Global Leadership : Positioned uniquely to lead the future of work by leveraging innovative AI-driven devices and solutions.
• Founded in December 2021 : Bootstrapped, profitable, and experiencing explosive growth.
• 10x Revenue Growth : Achieved 10x revenue growth for two consecutive years, reaching a $100 million run rate, with expectations for even greater expansion in 2025.
• Proven Product-Market Fit : Over 700,000 devices shipped globally since November 2023, with users engaging for an average of 30 hours per month to enhance productivity.
• New Initiatives : Expanding from consumer-focused products to industry-specific solutions and enterprise-level services.
• Loved by Professionals : Our products are trusted by professionals in sectors such as healthcare and sales, where conversations drive success.

• Infrastructure Design and Maintenance : Design, build, and maintain the infrastructure for big data platforms.
• ETL Workflow Development : Develop and maintain efficient ETL preprocessing workflows to ensure smooth data extraction, transformation, and loading.
• Data Warehouse Design and Optimization : Design, implement, and optimize data warehouses to ensure data is easily accessible and well-organized for analysis.
• Data Analysis and Reporting : Conduct detailed data analysis, including data modeling, dashboard development, and data mining, to extract actionable insights for the business.
• Optimization and Performance Tuning : Continuously monitor and optimize the performance of data pipelines and systems to ensure data processing is efficient and scalable.

• Programming Expertise : Proficient in at least one object-oriented programming language, such as Python, Java, or Scala.
• Analytical and Problem-Solving Skills : Strong analytical abilities with innovative thinking, capable of independently solving complex technical problems.
• Experience : Over 6 years of experience in big data development, including real-time and offline data processing, modeling, ETL development, and data analysis.
• Big Data Technologies Knowledge : Deep understanding and practical experience with big data technologies, including Spark, Flink, Hive, and other mainstream big data processing frameworks.
• Collaboration and Communication : Strong self-motivation, excellent teamwork spirit, and communication skills. Able to thrive in a fast-paced and dynamic work environment.
• Language Proficiency : Proficient in both English and Mandarin for effective work communication in a bilingual environment.