Cloud Database Administrator

Database Engineer

Dynamic work schedule - This is 5 days on site a month in the same week then the remainder of the month is working from home. If your candidate is not open to this please tell them they will not be considered. The client determines the week they are working onsite, not the candidate.

Must Have:

• Experience with PostgreSQL, DynamoDB
• Expert at DevOps and deployment technologies like Concourse, Jenkins/Jenkins Core, Terraform, uDeploy (putting infrastructure in as code – using Jenkins to run through)
• InDepth Understanding of the Aurora Storage Architecture

The team supports Brokerage database platform. We handle enabling and onboarding of new applications to cloud based databases, end to end support including physical database design, deployment and data replication, performance assessment, consultation and tuning and also control access to the database.

The role entails supporting critical database and replication Infrastructure. The associate will help design, engineer, and deploy on a breadth of RDBMS and NoSQL database technologies and platforms like Aurora Postgres, Aerospike, DynamoDB and other AWS database technologies.

Bachelor’s in computer science or equivalent with 10+ years of meaningful experience

The Skills You Bring:

• An authority in assessing customer requirements and delivering appropriate cost optimized solutions
• Understanding in concepts of RDBMS, Data Modeling and Performance Tuning
• Knowledge in NOSQL Concepts, Modeling and Performance Tuning
• Experience in Database Administrator for cloud database platforms – Aurora Postgres, DynamoDB (AWS certification is encouraged)
• PGPL/SQL Expertise is a must.
• Good understanding of connection pooling and load balancing
• Expert at DevOps and deployment technologies like Concourse, Jenkins/Jenkins Core, Terraform, uDeploy
• A penchant for developing, instilling and adhering to standards and practices of governance for database constructs
• A studious demeanor towards developing automation for scaling of both infrastructure, maintenance and expansion tasks using PYTHON/RUBY/SHELL
• Authority on database compute and storage sizing on AWS plus keen on continuous cost study and optimization
• Proficient in AWS concepts and services like IAM, SSO, KMS/CMK, PG, PHZ, VPC, Route53, RDS, RDS-Proxy, Lambda, S3, EBS, CloudWatch, DMS, etc.
• Awareness of supporting technologies like DataDog, PGBouncer, Hikari would be a plus
• Guide on application lifecycle tools like JIRA and source code tools like BitBucket.