Senior Data Engineer

Job Summary

To spearhead the evolution of a global data ecosystem, the fully remote Senior Data Engineer will architect and optimize high-throughput distributed computing frameworks, construct production-grade features for machine learning operations, and build automated ingestion frameworks across multi-cloud environments.

Key responsibilities:

• Architect and optimize distributed computing frameworks and Lakehouse structures for handling massive data volumes
• Construct robust features and pipelines for operationalizing large language models and predictive machine learning models
• Collaborate with cross-functional teams to convert strategic goals into scalable technical solutions

Required qualifications:

• 7+ years of data engineering experience with expertise in Spark tuning and cloud infrastructure
• Extensive experience designing secure, ACID-compliant storage layers with modern cataloging tools
• Proficiency in Python and SQL, with practical experience in ML lifecycle management
• Track record of integrating complex data sources and maintaining high-availability production environments
• Familiarity with event-driven architectures and CI/CD pipelines is a plus