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Data Engineer (Data Platform) - Singapore
About Plaud Inc.
Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.
Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.
To learn more about Plaud, please visit and follow along on Instagram, X, Facebook, LinkedIn, and YouTube
Why You Should Join Us
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.
Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
Define the next-gen paradigm for human-AI interaction.
Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
Work with passionate teammates who value innovation, collaboration, and customer success.
Grow your career in a culture that champions continuous learning and fast career development.
Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.
What you will do
Thoroughly understand the business and collaborate closely with product, operation, data analysts, algorithm engineers, etc. teams to accurately understand and complete the development of data requirements.
Be familiar with data governance, including metadata management, data security, cost optimization, etc., and promote its implementation.
Participate in the platformization and productization of data development, scheduling, monitoring, and governance tools to enhance the overall efficiency of data development.
Skills, qualifications and experience we look for
5-8 years of experience in data warehouse development;
Deep understanding of data warehouse theory, with profound insights and rich practical experience in data modeling, ETL/ELT design, and data governance;
Proficient in the Hadoop ecosystem (HDFS, MapReduce, Yarn, Hive), and proficient in at least one of the computing engines such as Spark or Flink, with extensive experience in performance tuning;
Skilled in using data platform tools and understanding the underlying principles (including scheduling, metadata, lineage, data synchronization, DQC, SLA, etc.);
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Bachelor's degree or above in Computer Science, Software Engineering, Mathematics or related fields;
Preferred
Have experience in using cloud platforms (such as AWS, Azure, GCP) and data services (such as S3, EMR, Redshift, Snowflake, etc.).
Global work collaboration experience, proficient in English communication
Proficient use of AI capabilities in work tasks
What we offer
Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success.
High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.
Medical & Insurance Coverage Comprehensive benefits to protect our employees' financial security, physical health, and longterm growth. Medical insurance and WICA coverage for all full-time employees.
