Senior Data Engineer

at  Brain Corp

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain’s robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

POSITION SUMMARY:

As a member of our Software Engineering team, the Senior Data Engineer will lead the development of data-centric products that enhance our innovative BrainOS platform. This individual will be responsible for designing, constructing, and maintaining the systems and infrastructure to facilitate efficient collection, storage, and analysis of large sets of data. The Senior Data Engineer will have a strong foundation in computer science or software engineering, supplemented but significant experience in data storage and processing technologies. Exceptional problem-solving abilities, effective communication skills, and a proven capability to collaborate effectively within a team are crucial to excel in this role.

EDUCATION AND/OR WORK EXPERIENCE REQUIREMENTS:

• BS or MS in Computer Science or applicable engineering discipline.
• 5-10 years of proven software development experience, with at least 3-5 of those years specifically focused on data engineering.
• Proven track record of successful project completion that leverages data to drive business decisions.

REQUIRED KNOWLEDGE, SKILLS, ABILITIES, AND OTHER CHARACTERISTICS:

• Strong proficiency in SQL as well as one or more programming languages such as Python, Go, or Typescript.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient in data modeling and understanding of complex data structures, along with a solid grasp of database design principles.
• Familiar with data warehousing and storage systems such as BigQuery, Firestore, Redshift, Snowflake, MySQL, PostgreSQL.
• Familiar with data pipeline and ETL development frameworks such as Apache Beam, DBT, Google Dataflow, Pub/Sub.
• Understanding of data security best practices and experience with technologies such as encryption and data masking.
• Excellent communication skills.

Please refer the Job description for details