As a Data Engineer on Amazon.coms Big Data Technologies team, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed.
In this role, the selected candidate must have an experience to cloud with build, migrate & managing Database on AWS, Google Cloud, Azure etc; experience with relational database systems administration like PostgreSQL DBA and MySQL DBA on Linux.
Own the software development process end-to-end, including: working with engineers and product managers to develop requirements; designing, architecting, planning, implementing, and testing new systems and features; deploying, and operating the production EMR systems.
Produce artifacts in support of reference architecture advocacy and implementation, including authoring documentation, white papers, and presentations/diagrams for dissemination to technical and business audiences.
Stay current on technical knowledge to keep pace with rapidly changing technology, and work with the team in bringing new technologies on board; keeping your finger on the pulse of the constantly evolving and growing Big Data field.
The Database Operation team is seeking a Tech Lead Database Administrator who is responsible for database administration in a fast-paced operations environment supporting 24x7 business critical applications using analytical and transactional databases. Experience in BIG DATA and NOSQL on new cutting edge technologies such as Apache Spark + Cassandra platform.
In this role, the selected candidate must have a strong problem research and resolution skills; must have performance monitoring and tuning background; must have worked in a large, complex OLTP Database environment.
In this role, the selected candidate will document database process that currently extracts the data from the existing system for reporting purposes; assist in establishing the organization's data warehousing strategy.
Demonstrate technical expertise, establishes credibility with both technical resources and decision makers. Work with client systems, performance, and current and potential data loaded onto systems to facilitate demand creation.