Cloud Engineer

4 days ago


Johannesburg, Gauteng, South Africa Nagarro Full time
Job Overview

Nagarro is a Digital Product Engineering company that is scaling rapidly. We build products, services, and experiences that inspire, excite, and delight.

About the Role
  • We are looking for a highly skilled Data Engineer to join our team.
  • You will design, develop, and maintain scalable data pipelines and ETL processes on Google Cloud Platform (GCP).
  • Collaborate with data scientists, machine learning engineers, data engineers, and other stakeholders to integrate and deploy machine learning models into production environments.
  • You will also implement and optimize data storage solutions using BigQuery, Cloud Storage, and other GCP services.

Key Responsibilities:

  1. Design, develop, and maintain scalable data pipelines and ETL processes on GCP.
  2. Implement and optimize data storage solutions using BigQuery, Cloud Storage, and other GCP services.
  3. Collaborate with data scientists, machine learning engineers, data engineers, and other stakeholders to integrate and deploy machine learning models into production environments.
  4. Develop and maintain custom deployment solutions for machine learning models using tools such as Kubeflow, AI Platform, and Docker.
  5. Write clean, efficient, and maintainable code in Python and PySpark for data processing and transformation tasks.
  6. Ensure data quality, integrity, and consistency through data validation and monitoring processes.
  7. Deep understanding of Medallion architecture.
  8. Develop metadata driven pipelines and ensure optimal processing of data.
  9. Use Terraform to manage and provision cloud infrastructure resources on GCP.
  10. Troubleshoot and resolve production issues related to data pipelines and machine learning models.
  11. Stay up-to-date with the latest industry trends and best practices in data engineering, machine learning, and cloud technologies.
  12. Understand data lifecycle management, data pruning, model drift, and model optimizations.

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