DBA Sr. (Database Administrator)

Coderio designs and delivers scalable digital solutions for global companies. With a solid technical foundation and a product-oriented mindset, our teams lead complex software projects from architecture through execution. We value autonomy, clear communication, and technical excellence. We collaborate closely with international teams and partners, building technology that drives impact.

👉 Learn more: http://coderio.com

You will join the Data Engineering area within the Data Management department of a client in the fintech sector. In this role, you will be the core pillar ensuring the availability, security, integrity, and optimal performance of the relational and non-relational databases that support the company's transactional systems and Datalake. Working in a Cloud environment (AWS) with a high degree of autonomy, you will collaborate closely with Data Engineers, Architects, and Stakeholders to ensure an efficient and fault-tolerant data flow.

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  Administration and Optimization: Lead the administration, configuration, performance tuning, and complex troubleshooting in production environments for MySQL and PostgreSQL.

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  Cloud Operations: Manage, monitor, and scale databases hosted on Amazon AWS, primarily utilizing RDS (Relational Database Service).

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  Data Migration and Replication: Design and implement seamless data migration and replication strategies from transactional systems to the Datalake using AWS DMS (Data Migration Service).

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  Streaming and Ingestion: Collaborate on the architecture of real-time data pipelines leveraging data streaming tools such as Kafka or Kinesis.

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  Quality and Consistency: Actively participate in data validation, integrity control, and data discrepancy analysis between source systems and analytical repositories.

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  Architectural Support: Define optimal data modeling and structures that impact the Datalake and satellite systems.

• Experience: Proven Senior experience as a DBA (Database Administrator), ideally within the Fintech sector or highly complex corporate environments handling large volumes of data.

• Relational Engines: Strong experience and advanced mastery in administration, query/index tuning, and troubleshooting in MySQL (Required) and PostgreSQL.

• AWS Ecosystem: Advanced management of AWS infrastructure, specifically RDS and AWS DMS (Required), with desirable knowledge of S3, Redshift, and Athena.

• Languages: Fluent English level, both oral and written (B2 or higher).

• Autonomy: Excellent communication skills, attention to detail, and analytical capacity to solve critical infrastructure problems autonomously.

• Education: Degree in Information Technology, Engineering, Computer Science, or related fields.

• Hands-on experience with NoSQL engines (MongoDB, DynamoDB, Cassandra, or similar).

• Practical knowledge of data streaming tools such as Apache Kafka or AWS Kinesis.

• Understanding of the retail business model and its associated transactional dynamics.