Dataops Engineer, Advanced Analytics

hace 2 días

Monterrey, México DataArt A tiempo completo

Client: Our client is a leading airline group in Latin America, known for providing comprehensive air travel services connecting passengers and cargo across the region and worldwide.
- Position overview: The Advanced Analytics department drives the strategic use of data and analytics to create sustainable value across the organization. It develops data products and platforms that enable machine learning, generative AI, and advanced analytics capabilities, integrated transversally with business areas.
- The DataOps Engineer plays 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, governed, 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.

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