Tasks:
- * Build ETL pipelines
- * Design and manage data warehouses
- * Develop utility programs and applications
- * Integrate on-premises data with AWS pipelines
- * Optimize system latency and scalability
Perks/Benefits:
Skills/Tech stack required:
[Amazon Athena] [Amazon QuickSight] [Amazon SageMaker] [AWS Glue] [Backend systems] [Data Engineering] [Data Modeling] [Data Pipelines] [Data Processing] [Data Warehousing] [ETL] [Large-scale] [Large Scale Data] [Large-scale Data Processing] [Performance optimization] [Python] [SQL]
Educational requirements:
[Bachelor's Degree] [Master's Degree] [PhD]
Role(s):
[AI Platform Engineer] [Data Engineer] [Engineer] [Learning Engineer] [Machine Learning Engineer] [Platform] [Platform Engineer] [Software Engineer]