•Bachelor's degree in Computer Science, Engineering or related discipline
•7+ years of Postgres or Oracle database development experience
•2+ years of hands-on experience with Aurora PostgresSQL
•Expert understanding of complex inner workings of Aurora PostgresSQL
•Strong understanding of the Aurora Postgres data model and architecture including installation, configuration of a cluster, replication, security, and best practices
•Familiarity with other SQL/NoSQL databases such as MongoDB, Redshift, Redis, etc.
•Knowledge of data population techniques, e.g. Extract Transform Load (ETL) and Extract Load Transform (ELT) and familiarity with Change Data Capture (CDC) tools like Golden Gate, DMS etc.
•Exposure to Enterprise Data Warehouse systems with understanding of Star Schemas, Snowflake Schemas, etc.
•Knowledge of operating relationships between database, business applications, and the operating systems
•Familiarity within Linux Environments, able to write/maintain scripts
•Familiarity with Infrastructure as Code software, such as Terraform, and CI/CD process
•Prior experience working with Agile/Scrum methodologies
•Ability to manage day-to-day tasks independently
•Ability to perform multiple tasks concurrently
•Excellent analytical and problem-solving skills
•Strong knowledge of system security and overall IT security methodologies
•Experience and knowledge of change management principles, methodologies and tools
•Exceptional communication skills, both written and verbal
•Relevant AWS certifications desired
Generic Skills
•Leadership: not only at the management level but at the individual level – having the confidence and resilience to take risks – be self-empowered
•Communication: understand and express ideas/solutions in a comprehensive and practical format – knowledge sharing
•User Focus: an absolute focus on the user (internal or external) experience – every aspect of a solution should be productized for ease of use
•Improvisation: the ability to think across disciplines and existing boundaries (technologies/business/geographies) - lateral thinking
•Collaboration: teamwork with a positive approach to ambiguity
•Research: an inclination to continuous research inside and outside the current focus fields
•Influence by example: scientific proof of an idea (success or failure) as the presentation tool – represent an idea in order to promote it
•Technical Knowledge: broad and deep technical knowledge with a strong focus on data/objects and API/contracts
•Abstract Thinking: view of ideas and solutions as abstractions/patterns that can be leveraged/adapted/reused – deliver frameworks instead of point solutions