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1 week ago
We're a leading digital product engineering company that builds innovative products, services, and experiences. Our work culture is dynamic, non-hierarchical, and employee-centric.
Job DescriptionWe're seeking a technical lead to oversee our cloud data pipeline efforts on Google Cloud Platform (GCP). The ideal candidate will have a strong background in designing, developing, and maintaining scalable data pipelines and ETL processes.
Key Responsibilities- Design and implement efficient data storage solutions using BigQuery, Cloud Storage, and other GCP services.
- Collaborate with data scientists, machine learning 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 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.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as a data engineer with a focus on GCP.
- Strong proficiency in Python and PySpark for data processing and transformation.
- Familiarity with GCP services such as BigQuery, Cloud Storage, Dataflow, and AI Platform.
- Experience with Terraform for infrastructure as code.
- Excellent communication and collaboration skills.