Amazon Data Engineer II Stores FinTech 

United States, California, Cupertino 

970513972

Key job responsibilities
* Expertise and experience in building and scaling Finance Planning Applications
* Deliver on data architecture projects and implementation of next generation financial solutions
* Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
* Build and deliver high quality data architecture and pipelines to support customer reporting needs
* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
* Continually improve ongoing data extraction, cleansing, validation, transformation and ingestion processes, automating or simplifying self-service support for customers
* Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability
* Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes
* Prepare run books, methods of procedures, tutorials, training videos on best practices for the team
* Build monitoring dashboards and creation of critical alarms for the system
* Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture
* Build automated unit test and regression test framework that can be leveraged across multiple data systems
* Build data reconciliation framework and tools that can be leveraged across multiple data systems
* Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements
* Identify process improvement opportunities to drive innovation
* Rotational on-call availability for critical systems support

- 3+ years of data engineering experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience building large-scale, high-throughput, 24x7 data systems
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with SQL