Database Engineer III (Big Data)

As a Database Engineer III (Big Data) at LivePerson, your main responsibilities include designing, implementing, and maintaining scalable database systems on Google Cloud Platform (GCP). You'll collaborate with cross-functional teams to establish database requirements, develop automation solutions to streamline database processes using Terraform and Ansible, and ensure robust database performance monitoring and troubleshooting. Additionally, you will work on implementing data protection measures in partnership with the security team and lead incident resolution to address any performance bottlenecks effectively.

To qualify for the Database Engineer III (Big Data) role at LivePerson, candidates should have at least 8 years of experience managing large-scale production databases capable of handling terabytes of data. You should possess expertise in MySQL and familiarity with tools like Elasticsearch, Kafka, or Hadoop. A strong background in Google Cloud Platform (GCP) or AWS, proficiency in Infrastructure as Code (IaC) practices with Terraform and Ansible, and solid problem-solving skills are also essential for this position.

In the role of Database Engineer III (Big Data) at LivePerson, you will work primarily with Google Cloud Platform (GCP) technologies, leveraging your skills in MySQL administration and data automation tools such as Liquibase or Flyway. Familiarity with monitoring solutions like Prometheus and the ELK stack will also be important. You'll have opportunities to automate database provisioning using Terraform and Ansible while implementing cloud-based solutions for large-scale data management.

LivePerson fosters an inclusive workplace culture that prioritizes meaningful connections and innovation. As a Database Engineer III (Big Data), you'll be part of a collaborative environment that values diversity and encourages team members to actively contribute to process improvements and solutions. We believe that every voice matters, creating a space where your ideas can flourish, driving both personal and professional growth.

Yes, the Database Engineer III (Big Data) position at LivePerson is designed to be remote, allowing you to work from the comfort of your home while still being a vital part of our dynamic team. We embrace modern work flexibility, fostering a supportive environment that allows you to achieve both your professional and personal goals.

In answering this question, provide specific examples of the databases you've managed, the scale of data you handled, and the technologies you used. Focus on challenges faced and how you resolved them, highlighting your problem-solving skills and initiatives taken to optimize performance.

Share details about the automation tools you've used, like Terraform or Ansible, and explain how these tools improved your workflow. Be sure to include any specific scenarios where automation significantly reduced manual workload or minimized errors.

Speak about the measures you take to ensure data integrity, including backup strategies, recovery protocols, regular audits, and compliance with security standards. Highlight any specific incidents where these practices protected data successfully.

Discuss your approach to database performance, including techniques like indexing, query optimization, and regular monitoring. Provide examples of how you identified bottlenecks and improved performance metrics in past roles.

Mention specific resources, such as industry blogs, online courses, webinars, or conferences that you follow regularly. Emphasize your proactive approach to continual learning and adapting to new technologies to stay relevant in your field.

Be prepared to share a detailed case study of a complex problem you faced. Discuss the steps you took to analyze the situation, the solutions you explored, and the eventual outcome, focusing on your contribution to the resolution.

Discuss the specific cloud platforms you’ve worked with, highlighting your expertise in Google Cloud Platform (GCP) or AWS. Give examples of how you've configured and managed databases in the cloud and any challenges associated with those deployments.

Explain the tools you utilize for monitoring (like Prometheus or Grafana) and your regular monitoring practices. Detail your troubleshooting methodology and provide examples of how you addressed specific database performance issues.

Discuss your experience with version control systems for managing database changes, such as using Liquibase or Flyway. Outline your practices for ensuring consistency in configuration and tracking changes over time.

Identify key personal and professional traits needed in the role, such as analytical thinking, attention to detail, and a collaborative spirit. Relate these qualities to your own experiences to demonstrate how you embody them.