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Assist developers with database setups and structure to maintain the integrity, performance, and efficiency of the systems

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Troubleshoot database performance issues, and define both short and long term actions to fix structural issues

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Setup and maintain a new data platform based on Databricks

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Automating deployment, scaling, and management of the containerized applications in a public cloud environment (e.g., setting up new infrastructure components with TerraForm and automated pipelines)

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Implementation/configuration of security standards (e.g., NIST, OWASP)

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Manage problems and (security) incidents (e.g. increased error rates in the itsme components, etc.)

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Identifying the root causes of problems (i.e. root cause analysis at every level of the solution (application, network, infrastructure, Storage)

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Increase database/datalake knowledge in the team in general to make sure everybody in the team has the basic skills needed to troubleshoot database related incidents

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Automate repetitive tasks that are performed manually

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You take ownership of your projects, reach out to your colleagues and can act as a go-to person

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You have an open and flexible mindset; You can easily adapt to changing contexts

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You have an automation mindset and are used to managing infrastructure as code

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You are a critical thinker and think about what the best solution is when you are asked to perform a task

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You are a team player who shares his/her knowledge and likes to celebrate joint achievements

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You are service- and customer-oriented

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You have strong SQL skills (query optimization, schema design, troubleshooting)

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You have experience with MySQL administration specific on replication setups

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You have a working knowledge of apache Spark and PySpark for distributed data processing

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Experience with Azure synapse

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Experience with Databricks (workspace administration, cluster management, job orchestration)

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Familiarity with NoSQL DB's like MongoDB