CLOUD DATABASE ADMINISTRATOR (MARIADB)

LOCATION This role is based in Portugal.
We have an co-working space in Porto for those who prefer a hybrid model where you can spend time with colleagues in-person.
If necessary, the role can be remote within Portugal with coming together for team meetings as needed.
WHO YOU'LL WORK WITH We are looking for a skilled Cloud Database Administrator (DBA) to join our team and help us ensure the timely, accurate, and secure production and delivery of data.
You will work closely with a dedicated team of software engineers and data professionals to refine quality standards and processes for data processing architecture design, pipeline design, development, and deployment.
WHAT YOU'LL DO Collaborate with a team of software engineers and data professionals to design, develop, and deploy data processing pipelines.
Ensure the performance, integrity, and security of the database environment.
Write and maintain database documentation.
Contribute to technical decisions about databases and schemas.
Continuously improve processes and implement effective monitoring as needed WHAT WE’RE LOOKING FOR 3+ years Experience working as a DBA for high transaction volume customer-facing platforms.
1+ years Experience working in a cloud environment (e.
., Google Cloud Platform).
SQL and NoSQL Knowledge Proficient in writing SQL queries for relational data management in MariaDB Experience with MariaDB replication and high availability configurations.
Understanding of NoSQL query languages like MongoDB Query Language (MQL) for document-oriented data manipulation.
Ability to take ownership of work and deliver key project outcomes.
Some experience with scripting languages or cloud automation tools (e.
., Python; terraform; ansible) for automating database tasks.
Proven ability to work effectively in a team environment, particularly with software engineers and data professionals.
A passion for data and a strong desire to learn new technologies, especially cloud-based database solutions and development environments.
A commitment to quality and a focus on continuous improvement, with a keen eye for identifying and resolving database performance bottlenecks through code optimization and automation.
Demonstrates a willingness to learn and apply basic coding skills to automate database tasks and contribute to data processing pipelines.