Client: Our client is the leading airline in Latin America, operating the largest network of destinations, frequencies, and fleet in the region. * Position overview: We are looking for a DataOps Engineer to join our Advanced Analytics department, which drives the strategic use of data and analytics to create sustainable value across the organization. Our team develops data products and platforms that enable machine learning, generative AI, and advanced analytics capabilities, integrated seamlessly with various business areas. * As a DataOps Engineer, you will play a key role in designing, implementing, and operating the technologies, frameworks, and environments that empower Data Engineering and Data Science teams to develop and deploy their solutions efficiently, securely, and at scale. * Responsibilities: Design and maintain infrastructure, tools, and frameworks that enable the creation and operation of data and analytical pipelines. * Ensure the scalability, reliability, and observability of data and analytics platforms. * Collaborate with Data Engineering, ML Engineering, and DevOps teams to promote DataOps and MLOps best practices. * Develop solutions to automate data ingestion, orchestration, and monitoring for analytical and ML workflows. * Implement data governance, quality, and versioning practices integrated into operational flows. * Contribute to the evaluation and deployment of new tools and architectures that enhance the data ecosystem. * Requirements: Experience with Google Cloud Platform (GCP) and its data and ML services (BigQuery, Dataflow, Pub/Sub, Cloud Composer, Vertex AI). * Strong knowledge of Infrastructure as Code (Terraform), containerization (Docker), and CI/CD automation. * Experience developing or integrating data platforms and tools (Airflow, dbt, MLflow, Great Expectations, etc.). * Ability to design secure, observable, and scalable solutions for data and analytics environments. * Experience working in agile and cross\-functional teams. Nice to have: Knowledge of Python and data processing frameworks, with a focus on enabling environments for other technical teams.