Data Engineer
Job Summary
Building and scaling data infrastructure for AI-driven products, the full-time Data Engineer will design and maintain data pipelines, manage large datasets, and collaborate with cross-functional teams in a remote environment.
Key Responsibilities
- Design, build, and maintain scalable data pipelines for processing large-scale datasets from multiple sources
- Develop and optimize distributed data processing workflows using Spark and cloud-native technologies
- Collaborate with AI researchers and data scientists to support data-intensive applications and experimentation
Required Qualifications
- Strong proficiency in Python, SQL, and Apache Spark
- Hands-on experience with AWS data services and cloud-native data architectures
- Experience managing and processing large-scale datasets in distributed environments
- Familiarity with both SQL and NoSQL databases
- Strong understanding of data partitioning and performance optimization
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