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Senior Data Engineer
2 weeks ago
This is an exciting opportunity to join our team as a Data Engineer and contribute to the design, development, and maintenance of scalable data pipelines and ETL processes on GCP.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes on GCP.
- Implement and optimize data storage solutions using BigQuery, Cloud Storage, and other GCP services.
- Collaborate with data scientists, machine learning engineers, data engineers, and other stakeholders to integrate and deploy machine learning models into production environments.
- Develop and maintain custom deployment solutions for machine learning models using tools such as Kubeflow, AI Platform, and Docker.
- Write clean, efficient, and maintainable code in Python and PySpark for data processing and transformation tasks.
- Ensure data quality, integrity, and consistency through data validation and monitoring processes.
- Deep understanding of Medallion architecture.
- Develop metadata driven pipelines and ensure optimal processing of data.
- Use Terraform to manage and provision cloud infrastructure resources on GCP.
- Troubleshoot and resolve production issues related to data pipelines and machine learning models.
- Stay up-to-date with the latest industry trends and best practices in data engineering, machine learning, and cloud technologies.
- Understand data lifecycle management, data pruning, model drift, and model optimizations.