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hace 4 semanas


Monterrey, México DataArt A tiempo completo

Client: Our client is a leading airline group known for its extensive network and dedication to outstanding customer service.Position overview: We’re looking for a Data Engineer to join the Customer Loyalty team, directly embedded with the business. In this role, you’ll design, build, and manage data pipelines that support business-driven data products. You will collaborate closely with cross-functional teams, including Data Scientists, ML Engineers, and business stakeholders. The role focuses on delivering production-quality, end-to-end solutions in a cloud-first environment, leveraging AdCore tools.- Responsibilities: Collaborate closely with business teams to understand data needs, ensuring that solutions are aligned with business objectives and support data-driven decision-making.- Design and implement scalable data pipelines (batch and streaming)- Collaborate with Data Scientists and ML Engineers to support model development and retraining- Ingest data into the Data Lake using GCP-native tools- Build and maintain ETL/ELT processes and unified data models- Continuously test and optimize data workflows- Promote a data-driven culture with a focus on reliability and scalability- Requirements: Ability to work closely with business teams and clear communication with non-technical profiles- 4+ years as a Data Engineer or Software Engineer- Strong Python and SQL skills- Experience working in UNIX environments- Hands-on experience with GCP, especially its data tools (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer)- Experience with CI/CD pipelines and Docker- Solid understanding of data structures and distributed processing- Experience testing and debugging data pipelines- Nice to have: Experience with Terraform- Experience with API development- Stream processing tools (e.g., Apache Beam, Kafka)- Exposure to MLOps workflows and tools


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