Amazon Data Engineer AWS Fintech 

United States, Washington, Seattle 

737308071

AWS Fintech is seeking a Data Engineer (DE) with a passion for developing data architecture and tools to support self-service data analytics. You will play a critical role supporting AWS Finance BI and building solutions to support data needs in one of the world's largest and most complex data environments. In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making.Key job responsibilities
In this role, you will have the opportunity to display and develop your skills in the following areas:
- Design, implement, and support an analytical platform providing ad hoc access to large datasets and computing power
- Managing AWS resources including EC2, RDS, Redshift, Lambda, and etc.- Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
A day in the life- Leverage new cloud architecture and data engineering patterns to ingest, transform and store data.
- Build and deliver high quality data solutions to support analysts, engineers and data scientists.

- Bachelor's degree
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell, Scala)

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.