Amazon Data Engineer AWS Finance Analytics Science FAST 

United States, Washington, Seattle 

813526994

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with Redshift, Oracle, NoSQL etc.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in writing complex, highly-optimized SQL queries across large data sets.

- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of distributed systems as it pertains to data storage and computing
- Proven success in communicating with business users, technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
- Experience providing technical leadership and educating other engineers for best practices on data engineering.
- Familiarity with statistical models and data mining algorithms.