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Applied AI Engineering

Data Engineer

Data Engineers build and maintain data pipelines for training and analysis.

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Overview

Data Engineers build and maintain data pipelines for training and analysis.

Responsibilities

• Assemble large data sets: Collect and organize complex datasets for training and analytics.
• Implement process improvements: Identify and implement improvements for data ingestion, processing, and reliability.
• Build ETL infrastructure: Develop extraction, transformation, and loading processes for structured and unstructured data.
• Develop analytical tools: Use statistical tools to interpret data and assist stakeholders.
• Ensure data quality: Collaborate with cross-functional teams to resolve data-related technical issues.