Data Engineer (Snowflake, Python, AI/ML Data Pipelines)

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About this kind of role

What a Data Engineer (Snowflake, Python, AI/ML Data Pipelines) usually does. The employer's own details are in the listing.

Typically does: A Data Engineer builds and maintains data pipelines that transform raw data into usable formats for analysis and machine learning. This involves designing, developing, and optimizing data storage solutions, often utilizing cloud-based platforms. They ensure data quality, reliability, and security throughout the entire data lifecycle, collaborating with data scientists and analysts. Responsibilities also include automating data processes and troubleshooting data-related issues.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (particularly Snowflake), and familiarity with data pipeline orchestration tools are typically required, alongside SQL and database management skills.

Good fit for: Individuals with strong analytical and problem-solving abilities, a passion for data, and a desire to build robust and scalable data infrastructure thrive in this role.