Senior Data Engineer
Job Summary
Working remotely from anywhere in the U.S., the full-time Senior Data Engineer will design and deliver AI-powered solutions and scalable data pipelines using technologies like Python, Spark, and Kafka, while focusing on KTLO activities to ensure platform stability and security.
Key responsibilities:
- Design, develop, and deploy AI-powered solutions to address complex business challenges
- Build and maintain scalable data pipelines using Python, PySpark, SQL, and Databricks
- Support KTLO activities, including production support, incident resolution, and platform upgrades
Required qualifications:
- 5+ years of experience in Data Engineering, Software Engineering, or a related field
- 3+ years of experience with Python, SQL, Spark/PySpark, and Databricks
- 2+ years of experience with Azure Data Factory or related cloud data services
- 2+ years of experience with Apache Kafka or streaming technologies
- 1+ years of experience building data pipelines using Databricks Medallion Architecture
Complete Job Description
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