Database Engineer and Big Data Engineer - Intermediate

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.

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

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