Data Engineer [X-069]

Detalles de la oferta

We are looking for a person to help us build the best Data and ML Platform for ArcelorMittal, following modern architectures and paradigms like Data Mesh, Lake house, and MLOps.
Someone that will develop systems that ingest, cleanse, and normalize diverse datasets, develop data pipelines from various internal and external sources, and build structure for previously unstructured data.
What we will needEducation: Master in Computer Science or a related technical field.Minimum requirements:Experience with public cloud systems (GCP, AWS, Azure).Extensive experience with object-oriented design and coding and testing patterns, including experience with engineering software platforms and data infrastructures.3+ years experience with Python (PySpark) or Scala (Spark).Infrastructure automation knowledge for cloud: Terraform or Pulumi.Knowledge of containerized and orchestration environments such as Docker and Kubernetes.Experience with data science and statistics.Knowledge of MLOps lifecycles.Knowledge of Azure (Storage Accounts, Function, AKS, Synapse, Data Factory, etc.
).Knowledge of Databricks (Delta Lake).Knowledge of Python 3 (pandas, numpy, tensorflow, django, pytest, and others).Knowledge of Git (Gitlab for CI/CD).Kubernetes (Helm).LanguagesEnglish: Level advancedSpanish: Level advancedWhat we will offerIntegration in a highly qualified group of researchers with the possibility of pursuing a career in the scientific area in the R&D organization of the world's largest steel producer.
An attractive remuneration package and career perspectives within ArcelorMittal Group.

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Salario Nominal: A convenir

Fuente: Jobleads

Requisitos

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