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Data Engineering Specialist at Borealis AI

Summary

Build and maintain ETL pipelines and labeled datasets for ML models at Borealis AI, using Python, PostgreSQL, MongoDB, and Hadoop.

Shape the future of data at Borealis AI as a Data Engineering Specialist. Engage with groundbreaking technologies that influence business decisions and drive progress. This role focuses on managing the Extraction, Loading, and Transformation processes of extensive datasets. You'll also play a key part in developing machine learning solutions and maintaining thorough documentation of your projects. Your technical flair, especially in Python and database systems, will be crucial in making an impactful difference. Key Responsibilities: • Provide expertise on ETL for unstructured data • Create rapid labeled datasets using collection tools • Develop innovative algorithms for financial challenges • Document design and project capabilities in detail • Showcase results to diverse business stakeholders Requirements: • Relevant degree in Computer Science or a related field • Proficient in Python 3.x and software design practices • Familiar with databases like PostgreSQL and MongoDB • Experience in distributed technologies like Hadoop • Knowledge of Unix commands and visualization techniques Harness your passion for data and technology to drive progress at Borealis AI.

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