Cloud DBA
Role details
Job location
Tech stack
Job description
- Develop and operationalize large-scale enterprise data solutions with a focus on high availability, low latency and scalability.
- Provide guidance,documentation and automation capabilities for Disaster Recovery as part of application deployment.
- Ensure data security and protection by consistently maintaining security postures.
- Work closely with compliance teams to ensure all our tools/solutions meet the necessary compliance guidelines(PCI,FISMA,FedRAMP,etc)
- 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)
- Effectively communicate to technical peers and team members in both written and verbal formats., 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 to improve own work and the work of less experienced colleagues; Builds and maintains an understanding of technology trends and use knowledge to identify factors that 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; Contributes to the discussions in new product development or existing product feature enhancements. Helps in the process of developing methods, tools, and techniques used in day-to-day data management; Participates in reviews of own work and leads reviews of colleagues' work
- Operational Excellence - Develops work plans for short-term assignments of moderate complexity, typically contained within own function; Consistently monitor and measure systems against key metrics to ensure availability of systems; Continuously seeks new ways of working to make processes run smoother and faster
- Technical Communication/Presentation - Articulates complex messages and the impacts to stakeholders to build support and agreement; Demonstrates strong written and verbal communication skills and the ability to tailor to specific audiences; Work with others to achieve results and proactively address sources of conflict and emotion with focus on the best solution for Equifax
- Troubleshooting - Applies a methodical approach to routine and moderately complex issue definition and resolution; Initiates and monitors actions to investigate and resolve problem in systems, processes and services; Determines problem fixes/remedies. Coordinates the implementation of agreed remedies; Analyzes patterns and trends
Requirements
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 groups., * BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required
- 5-7 years of experience in database administration, system administration , performance tuning and automation
- 2+ years of experience on Cloud native services like BigQuery, Cloud Spanner, DataFlow. Cloud Storage, Cloud Data Fusion, Cloud Functions, Cloud Composer or any other Google Cloud Analytical Services
- 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.
- Understanding of GKE and distributed databases like cockroachDB, TigerGraph,Neo4j is a plus
- Proficiency with continuous integration and continuous delivery tooling and practices
- Cloud Certification Strongly Preferred