Plaud - Senior Data Engineer (Data Warehouse)
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Requirements
• Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field. • At least 3 years of experience in data warehouse development, including big data development, data warehouse modeling; • Strong understanding of data warehouse architecture and principles • Proficient in at least 2 programming languages (e.g. SQL, Python, Scala, Java, Go) • Experience with big data platforms (Hive, Spark, Airflow, Kafka, Flink, etc.) and relational databases. • Experience in backend engineering skills are a plus • Familiar with AWS data tools (E.g. Snowflake, and data pipeline technologies) • Familiar with data security and compliance • Strong communication skills and team spirit, with curiosity and openness to new technologies
Responsibilities
• Design and develop data warehouse systems, including data modeling, ETL process development, and data quality assurance. • Collaborate with business teams and data analysts to understand business needs and deliver warehouse solutions. • Continuously optimize data processing performance to improve platform stability and efficiency. • Research emerging technologies to drive the next-generation upgrade of the data platform.
Benefits
• 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.
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