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Job Summary: Responsible for the DataOps pipeline within the Data Lake, ensuring automation, versioning, traceability, and observability of data pipelines. Key Highlights: 1. Serve as a technical reference for best practices in data engineering 2. Implement automation and deployment of data engineering pipelines 3. Proven experience in DevOps and data engineering Position Objective: Responsible for the entire DataOps pipeline within the corporate Data Lake, ensuring automation, versioning, traceability, and observability of data pipelines. Main Responsibilities: Implement automation and deployment of data engineering pipelines. Ensure traceability, version control, and rollback capability. Monitor data performance and flow in real time within the Data Lake. Work with testing, observability, and code versioning. Serve as a technical reference for best practices in data engineering. Desired Technologies and Tools: Essential: Terraform, Git, GitHub, DBT (on\-premise and cloud), Docker, Containers, MLFlow. Desirable: Experience with CI/CD, automated testing, observability. Cloud: Azure. Desired Profile: Specialist professional with proven experience in DevOps and data engineering. Experience with automated pipelines and environments with high data maturity. Autonomy, proactivity, and strong communication skills. Completed undergraduate degree (mandatory). Work Model: Hybrid in Fortaleza, with possibility of remote work. Occasional travel may be required, aligned in advance.
