Specific responsibilities and expectations include but not limited to:
6-10 years of experience technical experience in database engineering.
Knowledge of AWS Architecture, AWS Console Design, create and administer Redshift clusters and RDS instances to handle huge volumes of data and associated traffic.
Define, design, build, standardize, and improve database technology solutions.
Define and improve backup strategies for data recovery in the event of system outages.
Ensuring high availability of Redshift cluster and liaise with vendors to resolve potential issues on clusters.
Advise developers on best practices writing and tune SQL queries in order to maintain a balance between performance, cost and throughput.
Project and analyse trends in performance metrics using visualization tools such as Tableau for various stakeholders, which helps in business decisions.
Resize, restore, and perform maintenance tasks like VACUUM and ANALYSE on Redshift clusters.
Refresh data on UAT and Development environments from the Production environment for simulation testing.
Setting resource queues to make optimum use of resources (using Workload Management). Creating alarms on AWS Cloud watch to monitor Redshift clusters.
Define, design, build and standardize and improve database backup solutions, using database native or platform level tools or technologies.
Advanced knowledge of popular commercial and/or open-source relational and NoSQL Database technologies.
Script development as necessary to support the databases and external interfaces.
Primary Technology Expertise Requirements (No more than 3)
Experience in the following database platforms: PostgreSQL, Oracle, AWS Redshift, and/or other comparable database technologies.
Advanced knowledge/experience doing shell scripting and automation of database maintenance/activities, migrate applications from Oracle to Postgres on-premises, or to the cloud.
Experience with MSSQL Server, MariaDB databases is a plus.
