Hands-on and proactive, the full-time remote Spark Data Engineer will design and develop scalable data processing solutions using Spark and Amazon EMR, while collaborating with cross-functional teams to deliver AI-enabled solutions for analytics and automation. Key responsibilities Design and develop scalable data processing solutions using Spark and Amazon EMR Build, optimize, and maintain batch and distributed data pipelines Collaborate with Engineering, AI, and Product teams to operationalize data-driven and model-enabled use cases Required qualifications 4+ years of professional software engineering or data engineering experience Strong hands-on experience with Apache Spark and distributed data processing frameworks Proven experience with Amazon EMR or similar cloud-based data processing platforms Proficiency in Python, Java, or related programming languages for data engineering Strong understanding of scalable data architecture, data modeling, and performance optimization
Spark Data Engineer in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.