Database and Bigdata Engineer - Intermediate

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Equifax

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Job Description

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

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