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Lead Database Engineer

vor 3 Monaten


Berlin, Berlin, Deutschland Digital Turbine Vollzeit

Position Overview:

As a Senior Database Administrator, you will play a critical role in overseeing and managing our database systems, ensuring optimal performance and security.

Key Responsibilities:

  • Administer and oversee Postgres and MySQL databases hosted on Google Cloud Platform.
  • Continuously monitor database performance and refine queries for enhanced efficiency.
  • Guarantee data security and adherence to industry standards and regulations.
  • Diagnose and resolve database-related issues while conducting thorough root cause analyses.
  • Work closely with development teams to create and implement effective database schemas.
  • Establish and uphold robust database backup and recovery strategies.
  • Keep abreast of emerging database technologies and industry best practices.
  • Provide on-call support for urgent database challenges as necessary.

Candidate Profile:

  • Minimum of 5 years' experience in database administration, particularly with Postgres and MySQL.
  • Ability to work in a hybrid environment, with some onsite presence.
  • Practical experience in deploying, managing, and scaling Postgres and MySQL databases on Google Cloud SQL.
  • Familiarity with Google Cloud Platform services, including Cloud Monitoring, Cloud Logging, and Cloud IAM.
  • Proficient in scripting languages such as Python or JavaScript for automating database tasks.
  • Strong analytical and problem-solving abilities to address complex database challenges.
  • Excellent communication and teamwork skills to collaborate effectively with developers and other stakeholders.
  • Self-motivated with the capability to manage tasks independently while contributing to team efforts.

Preferred Qualifications:

  • Experience with automation and orchestration tools such as Ansible and Terraform.
  • Familiarity with NoSQL databases like ScyllaDB, MongoDB, or Cassandra.
  • Knowledge of migration tools, including Flyway.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Familiarity with Databricks.