We are currently looking for a **Senior Data Engineer** to join our dynamic and innovative team. If you are proactive, enjoy learning, and have the resilience to face challenges, come build the future of technology with us! **Responsibilities and duties** * Develop, maintain, and optimize ETL/ELT pipelines using tools such as Apache NiFi, Dataflow, or other integration solutions; * Handle, model, ingest, and transform structured and unstructured data; * Administer and monitor relational and non-relational databases (PostgreSQL, MySQL, SQL Server, MongoDB, ElasticSearch, Redis); * Implement query tuning, optimization practices, and performance improvements; * Develop backup, recovery, replication, and high-availability routines; * Ensure data security by applying best practices in 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). **Requirements and qualifications** * Database administration; * Installation, configuration, and maintenance of relational and NoSQL DBMS; * 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); Cloud – Google Cloud Platform (Strong Plus): * 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 practices for data engineering; * Familiarity with distributed environments and large-scale processing. **Additional information