Loker Remote - Indonesia
US - California - San Francisco
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Implement and evolve robust data infrastructure and pipelines using Spark and Scala within AWS to support massive growth. Collaborate with cross-functional teams to design scalable data solutions and optimize storage engines and formats.
Requirements: Requires production data engineering experience with proficiency in Spark, Scala, AWS, and SQL. A Bachelor's degree in Computer Science or a related field is required, along with the ability to leverage AI to improve workflow quality.
Key Skills: Spark, Scala, AWS, SQL, Data Engineering, Data Pipelines, Data Lakes, Cloud Warehouses, Batch Processing, Streaming Pipelines, Data Manipulation, AI Workflow Integration, Data Validation, Data Quality Checks, Communication Skills
Benefits: Equity
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