GCP Data Engineer
3 weeks ago
We are seeking an experienced Senior Data Engineer with strong hands-on expertise in Google Cloud Platform (GCP). In this role, you will be responsible for building and maintaining data pipelines, leading Proof of Concepts (POCs), and contributing to the development of MVPs on the GCP platform. The ideal candidate will have a deep understanding of data engineering concepts, with the ability to troubleshoot and analyze complex data pipelines, while proposing both short-term and long-term solutions.
Key Responsibilities:
Need senior/experienced folks with:
- Data Engineering Development: Design, implement, and manage scalable and efficient data pipelines on GCP (BigQuery, Dataflow, Pub/Sub, etc.).
- Proof of Concepts (POCs): Lead the creation of POCs and MVPs to demonstrate solutions on GCP, including streamlining data ingestion, processing, and storage.
- Pipeline Troubleshooting: Analyze and debug data pipelines, identifying performance bottlenecks and implementing improvements to ensure smooth and reliable data flow.
- Collaboration: Work closely with lead engineers and data engineering managers to propose and implement both short-term and long-term data engineering solutions.
- Performance Tuning: Optimize data pipelines for speed, efficiency, and cost-effectiveness on the GCP platform.
- Data Quality: Ensure high data quality and reliability throughout the data engineering process.
- Documentation and Best Practices: Maintain clear documentation on code, architecture, and best practices for data engineering workflows on GCP.
- Experience with GCP data warehousing and analytics tools.
- Knowledge of data orchestration platforms such as Apache Airflow or Cloud Composer.
- Familiarity with data security best practices in the cloud.
Education: Bachelors Degree
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