Senior Data Engineer

PLAUD ai; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Join a pioneering AI-native company at the forefront of innovation in big data. As a key member of the engineering team, you will design and optimize big data platforms, develop ETL workflows, and analyze data to drive actionable insights. This role offers the chance to contribute significantly to our products that enhance productivity across various sectors, with a focus on both collaboration and independent problem-solving.

Qualifications

• Proficient in an object-oriented programming language (Python, Java, Scala).
• Over 6 years of experience in big data development.
• Language proficiency in English and Mandarin.

Responsibilities

• Design and maintain infrastructure for big data platforms.
• Develop and maintain ETL preprocessing workflows.
• Conduct detailed data analysis and reporting.

Skills

Analytical and Problem-Solving Skills

Collaboration and Communication

Tools

Spark

Flink

Hive

Job description

ABOUT PLAUD AI

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 https://www.plaud.ai to learn more.

WHY JOIN US

• 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.

WHAT YOU WILL DO

• 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.

WHAT YOU WILL BRING

• 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.