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Key job responsibilities
- Implement & maintain an AWS Cloud Infrastructure to securely store, process, and deliver NASC planning data.
- Build and support a modern data architecture that integrates a wide range of available AWS data technologies.- Develop functional databases, applications, and servers to support modeling using a variety of AWS and machine learning related services.
- Build and manage large scale data processing pipelines that efficiently and safely process petabyte-scale data.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
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