Senior Data Engineering and AI Platforms

About this kind of role

What a Senior Data Engineering and AI Platforms usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines and infrastructure to support data science and machine learning initiatives. This role focuses on creating scalable and reliable platforms for data ingestion, processing, storage, and access. Responsibilities often include optimizing data workflows, ensuring data quality, and collaborating with data scientists and engineers. They may also be involved in evaluating and implementing new technologies to improve data platform capabilities.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), SQL, Python, data warehousing technologies (like Snowflake or Redshift), ETL tools, and experience with machine learning frameworks is generally expected.

Good fit for: Individuals with a strong background in data engineering and a passion for building robust and efficient data platforms for artificial intelligence applications typically thrive in this role.