Database Engineer

Database Engineer

What You Will Do

• Support large-scale enterprise data solutions with a focus on high availability, low latency and scalability.
• Provide documentation and automation capabilities for Disaster Recovery as part of application deployment.
• Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK).
• Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains.
• Knowledge of the configuration of monitoring solutions and the creation of dashboards (DPA, DataDog, Big Panda, Prometheus, Grafana, Log Analytics, Chao Search)
  

What Experience You Need

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required
• 2-5 years of experience in database administration, system administration , performance tuning and automation.
• 1+ years of experience developing and/or administering software in public cloud
• Experience in managing Traditional databases like SQLServer/Oracle/Postgres/MySQL and providing 24*7 Support.
• Experience in implementing and managing Infrastructure as Code (e.g. Terraform, Python, Chef) and source code repository (GitHub).
• Demonstrable cross-functional knowledge with systems, storage, networking, security and databases
• Experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Java, Python, Scala, SQL etc.
• Proficiency with continuous integration and continuous delivery tooling and practices
• Cloud Certification Strongly Preferred
  

What Could Set You Apart

• Automation - Uses knowledge of best practices in coding to build pipelines for build, test and deployment of processes/components; Understand technology trends and use knowledge to identify factors that can be used to automate system/process deployments
• Data / Database Management - Uses knowledge of Database operations and applies engineering skills to improve resilience of products/services. Designs, codes, verifies, tests, documents, modifies programs/scripts and integrated software services; Applies industry best standards and tools to achieve a well-engineered result.
• Operational Excellence - Prioritizes and organizes own work; Monitors and measures systems against key metrics to ensure availability of systems; Identifies new ways of working to make processes run smoother and faster
• Technical Communication/Presentation - Explains technical information and the impacts to stakeholders and articulates the case for action; Demonstrates strong written and verbal communication skills
• Troubleshooting - Applies a methodical approach to routine issue definition and resolution; Monitors actions to investigate and resolve problems in systems, processes and services; Determines problem fixes/remedies. Assists with the implementation of agreed remedies and preventative measures; Analyzes patterns and trends