דרושים בתחום DBA

We’re looking for a talented multi disciplinary Big Data DBA who will be responsible for the performance, scale, and stability of our high volume products. We are a data-driven organization, ingesting data at high rates, with demands increasing each day.
As a Big Data DBA, you will be part of the Data Engineering Team, providing services to a variety of departments, providing sub-second data access for near real time apps with zero downtime.
What You'll Be Doing
Implement the future data architecture in Riskified, providing 24/7 real-time and near real-time scalable and resilient data store for our growing stack of products and microservices
Administrate, provision and monitor dozens of database instances
Develop strategic solutions to recurring problems
Guide development teams and mentor other team members
Use your creativity to resolve complex and high scale data related issues

Academic degree or equivalent experience
3 years of hands-on experience with large scale production grade NoSQL databases such as: Elasticsearch/Cassandra/Dynamodb/MongoDB etc
5 years hands-on experience with large scale production grade SQL database (RDBMS) such as: Postgresql/Mysql/Oracle/Sql, etc.
Experience in Performance Tuning and Optimization
Great Knowledge of High Availability (HA) and Disaster Recovery (DR) options
Advantage
Software development skills
Experience with a cloud provider (AWS, Google etc)
Experience with production PostgreSql
Experience with Big Data SQL databases - Redshift/Vertica/BigQuery etc- Advantage

A profitable startup with over 25000 paying customers worldwide developing a platform for project management is looking for a DBA to join its R&D team and to have a direct impact on feature decisions and the future of the product. The offices are in Tel Aviv.

8 years of experience with data streaming application, performance optimization and scaling out data across the world.
Coding experience in high throughput real-time data processing as well as for analytic systems.
Experience with POCing different Big Data technologies and rolling out new solutions to the production environment.
Experience with SQL and NoSQL databases.