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.
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.
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.
Be responsible for administration of procedures and practices regarding data access and upkeep across our Sybase Database platform. This includes Administration of a multi-region MSA replication topology for Sybase ASE as well as Administering a standalone Sybase IQ Production instance.
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 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.
As the Big Data Infrastructure Architect you will be responsible for scaling big data and analytical workloads including requirements gathering, architecture, design & development, quality assurance, deployment and operations.
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.
Utilize your domain expertise to tackles the complexities of build, integration and innovation while providing a reliable, quality stream of releases for today and emerging applications (Spark, Tez, Presto, Flink, etc.) in the big data space.