Cloud Data Engineer

3 semanas atrás

São Paulo SP, Brasil beBeeDataEngineer Tempo inteiro

Unlock Your Potential in Data Engineering We're seeking a skilled professional to build, optimize, and maintain modern data platforms within a cloud environment. Leverage experience with relational and non-relational databases to drive business outcomes. Design robust and scalable data pipelines for batch and real-time processing, from ingestion to final consumption. Construct and manage data lake infrastructure (multi-cloud) ensuring governance, security, and scalability. Administer and optimize database management systems (DBMS), including relational and NoSQL databases. Implement real-time data stream processing solutions using technologies like Apache Kafka or similar. Collaborate with cross-functional teams to understand data requirements and translate them into robust technical solutions. Evaluate data quality, observability, and reliability through testing, monitoring, and pipeline versioning. Implement and enforce data security and privacy policies. Automate repetitive data engineering tasks applying DevOps and CI/CD principles. Proven expertise in data engineering focusing on both batch and streaming pipelines. Familiarity with modern data platforms and orchestration tools (e.g., Apache Spark, Airflow, Databricks). In-depth knowledge of GCP cloud environments and data-related services. Proficiency in SQL and experience with both relational and non-relational databases. Familiarity with data streaming technologies such as Apache Kafka or managed cloud services. Strong programming skills in Python, Scala, or Java. Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) is an advantage. Excellent communication skills and ability to collaborate effectively across teams.

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