- Design, develop, and implement data pipelines using GCP services such as BigQuery, Pub/Sub, and Cloud Storage.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
- Develop and maintain large-scale data processing systems using Python and PySpark.
- Ensure data quality and integrity by implementing robust testing and validation frameworks.
- Optimize data pipeline performance for scalability, reliability, and cost-effectiveness.
- Troubleshoot complex technical issues related to data engineering projects.
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