Data Engineer - Data Platform

4w4 weeks ago

Plaud

Singapore, SG · Full-time · S$120,000 – S$150,000

About this role

Plaud is building the world's most trusted AI work companion for professionals, elevating productivity through note-taking and loved by over 2,000,000 users. As a Data Engineer on the Data Platform team, you will help build the next-generation intelligence infrastructure to capture, extract, and utilize intelligence from what people say, hear, see, and think.

You will thoroughly understand the business and collaborate closely with product, operations, data analysts, and algorithm engineers to accurately complete data requirements. You will also be familiar with data governance, including metadata management, data security, and cost optimization, and promote its implementation.

Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years. You will work with passionate teammates who value innovation, collaboration, and customer success, and gain exposure to cutting-edge AI for Pro tools.

Define the next-gen paradigm for human-AI interaction and play a direct role in our global expansion. Grow your career in a culture that champions continuous learning and fast career development, with market-competitive compensation and a vibrant, creativity-fueled work atmosphere at Plaud.

Requirements

5-8 years of experience in data warehouse development.
Deep understanding of data warehouse theory, with practical experience in data modeling, ETL/ELT design, and data governance.
Proficient in the Hadoop ecosystem (HDFS, MapReduce, Yarn, Hive) and at least one computing engine such as Spark or Flink, with extensive performance tuning experience.
Skilled in using data platform tools for pipeline orchestration, scheduling, and monitoring.
Proficiency in SQL and experience with dimensional data modeling (e.g., star schema, snowflake).
Experience with cloud-based data infrastructure (e.g., AWS S3, Redshift, or GCP BigQuery).
Proficiency in Python or Scala for building data pipelines and automation.

Responsibilities

Thoroughly understand the business and collaborate closely with product, operations, data analysts, and algorithm engineers to accurately complete data requirements.
Be familiar with data governance, including metadata management, data security, and cost optimization, and promote its implementation.
Participate in the platformization and productization of data development, scheduling, monitoring, and governance tools to enhance overall data development efficiency.
Design and build scalable data pipelines to support the ingestion and processing of large volumes of user interaction data.
Optimize data storage and retrieval across the Hadoop ecosystem, including Hive, Spark, and Flink.
Implement data quality checks and monitoring to ensure reliability and accuracy of data assets.
Collaborate with algorithm engineers to ensure data availability and quality for training and deploying machine learning models.

Benefits

Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.
Grow your career in a culture that champions continuous learning and fast career development.
Define the next-gen paradigm for human-AI interaction and play a direct role in global expansion.
Gain exposure to cutting-edge AI for Pro tools.
Work with passionate teammates who value innovation, collaboration, and customer success.