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DataOps Engineer

DataOps Engineer

CIH BANKCasablanca
18 منذ أيام
الوصف الوظيفي

Contexte du recrutement et définition de poste

We are looking for an experienced DataOps Engineer to join our team. This role focuses on building and maintaining robust on-premise cloud infrastructures and data pipelines. You will work with a diverse range of tools and technologies, ensuring the reliability, scalability, and efficiency of our data and cloud ecosystems.

Key Responsibilities :

  • Data Stack Infrastructure Management : Deploy and maintain on-premise cloud environments using Hadoop , Kubernetes , Helm , and Minio .
  • CI / CD Implementation : Build and maintain infrastructure as code (IaC) with Terraform , automate configuration management with Ansible , and streamline CI / CD workflows using Jenkins and GitLab CI .
  • Monitoring and Observability : Oversee system performance using monitoring tools such as Grafana, Kibana, and ELK Stack to proactively address issues and ensure system health.
  • Data Operations Management : Oversee the performance of data pipelines and implement proactive measures to address issues.
  • Collaboration : Work closely with data engineers, data scientists, and stakeholders to align data delivery processes with business goals.
  • Machine Learning Workflow Optimization : Integrate tools like MLflow to manage and streamline machine learning workflows.

Profil recherché

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field.
  • Proficiency in managing on-premise cloud environments with Kubernetes , Helm , and Minio .
  • Strong experience with Hadoop ecosystems for big data processing.
  • Experience with CI / CD tools, specifically Jenkins and GitLab Actions .
  • Familiarity with task scheduling and workflow orchestration tools such as Apache Airflow and Celery .
  • Hands-on expertise in Terraform and Ansible for infrastructure automation.
  • Strong problem-solving and communication skills.
  • Bonus :

  • Experience with monitoring and observability tools like Grafana, Kibana, and ELK Stack.
  • Experience with MLflow for machine learning lifecycle management is a plus.
  • Knowledge of Kafka for real-time data streaming and messaging.
  • إنشاء تنبيه وظيفي لهذا البحث

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