Description: * Database Administration; * Installation, configuration, and maintenance of relational and NoSQL DBMSs; * Query optimization, index creation, partitioning, and execution plan analysis; * Continuous performance monitoring and troubleshooting; * Experience with replication, clustering, and failover mechanisms; * Data Engineering / ETL; * Experience with Apache NiFi for orchestration and flow integration; * Building scalable and efficient pipelines; * Handling large volumes of data (batch and streaming); Google Cloud Platform (Strong Differentiator): * BigQuery: modeling, performance tuning, cost control, and high-scale queries; * Dataflow: developing streaming and batch pipelines using Apache Beam; * Integration with Cloud Storage for data ingestion, archiving, and migration; * IAM: configuring policies, permissions, and security best practices; * Building hybrid environments and migrating data to GCP. Desirable: * Cost optimization and efficiency in cloud environments (especially GCP); * Knowledge of version control, CI/CD, and automation focused on data engineering; * Familiarity with distributed environments and large-scale processing. * Develop, maintain, and optimize ETL/ELT pipelines using tools such as Apache NiFi, Dataflow, or other integration solutions; * Work on data processing, modeling, ingestion, and transformation of structured and unstructured data; * Administer and monitor relational and non-relational databases (PostgreSQL, MySQL, SQL Server, MongoDB, ElasticSearch, Redis); * Implement tuning practices, query optimization, and performance improvement; * Develop backup, recovery, replication, and high-availability routines; * Ensure data security by applying best practices for encryption, RBAC, auditing, and compliance (GDPR, LGPD); * Support the Analytics and Business Intelligence teams by integrating data sources with visualization tools (Looker, Tableau, or Power BI). 2512290202491937796