Job Description

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance
• Wellness resources

Responsibilities

• Design robust and scalable data system architecture to collect, process, and store large volumes of data from IoT devices.
• Design and build data systems that support real-time, customer facing data applications, ensuring data integrity and efficient retrieval processes.
• Design and build a data validation framework to guarantee the accuracy and consistency of data across all stages of the pipeline, ensuring reliable insights and decision-making.
• Implement data architectures to continuously improve AI models through automated feedback loops and data collection processes.
• Optimize data processing workflows for AIoT tasks.
• Collaborate with product owners to translate data requirements into actionable data engineering solutions.
• Collaborate with other engineers, product owners to solve challenging problems.
• Evangelize software engineering best practices and lead by example.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of proven experience in data engineering, with a strong focus on data warehousing and data system architecture.
• Expertise in design and build IoT data systems.
• Expertise in architecting that power high-volume consumer application.
• Expertise in big data and streaming technologies (Python, Java, Kafka, Spark,Spark Streaming).
• Expertise in moderen database technology (MongoDB, ElasticSearch, StarRocks, S3, Snowflake, Bigquery etc).
• Experience with data annotation tools and processes for machine learning datasets.
• Familiarity with MLOps practices and tools for managing AI model lifecycles.
• Knowledge about deploying systems into a production Cloud Native Environment (AWS or similar).
• Experience in Java Spring Framework is a plus
• Experience with video data handling and image processing is a plus

Skills Required