Data Engineer

About

Elevate AI solutions as a Data Engineer, designing critical data pipelines. Ensure reliable and governed enterprise data is available for seamless integration with business applications and innovative algorithms.

This role demands hands-on experience in building and maintaining data structures vital for AI capabilities. You will actively prepare data foundations, manage ingestion pipelines, and implement data governance for trustworthiness. Collaborate with AI Engineers and solution architects to ensure data infrastructure adheres to stringent standards while supporting retrieval patterns successfully.

Key Responsibilities

• Design and maintain data pipelines for enterprise AI solutions
• Develop integrations across multiple data sources via APIs
• Build indexing infrastructure for retrieval-augmented generation
• Implement data quality and lineage controls for accuracy
• Support data modeling for AI-enabled analytics

Requirements

• 4+ years in data engineering with production pipeline experience
• Proficiency in Python and SQL; PySpark preferred
• Familiarity with Azure services for data management
• Knowledge of data governance and security practices
• Certifications in Azure or Databricks are a plus

Shape the future of AI capabilities through robust and reliable data engineering.