Data Platform Engineer
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Summary
We’re growing and looking to hire a Data Platform Engineer,who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
Requirements
- 4+ years as a Data or Software Engineer in cloud-native, high-scale environments.
- Strong proficiency in Python and microservices architecture.
- Expertise in Spark and distributed data processing at scale.
- Deep knowledge of AWS ecosystem (S3, Glue, RDS, EMR).
- Experience with DWH modeling and optimization.
- Strong SQL skills and experience optimizing complex query executions.
- Proven experience with data modeling for high-scale, large-volume data sets.
- Experience with modern workflow orchestration tools like Airflow.
- Experience with real-time streaming (Kafka, Kinesis, or Flink).
- Experience supporting ML/LLM pipelines and Vector Databases (Advantage).
- Familiarity with basic AI productivity tools and a willingness to adopt AI into daily workflows.