The Database Engineer :
The Database Engineer will be actively involved in the evaluation, review, and management of databases.
You will be part of a team who supports a range of Applications and databases.
You should be well versed in database administration which includes installation, performance tuning and troubleshooting.
A strong candidate will be able to rapidly troubleshoot complex technical problems under pressure, implement solutions that are scalable, while managing multiple customer 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 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 Could Set You Apart :
An ability to demonstrate successful performance of our Success Profile skills, including :
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.ref : hirist.tech)