Spark Data Engineer
Job Summary
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
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