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1 week ago
This is a long-term contract role that requires the candidate to work remotely as a cloud data engineer. The ideal candidate will have 5-7 years of experience in data engineering with core Google Cloud experience of 3-4 years.
Key Responsibilities:- Develop, construct, test and maintain large volume data acquisition pipelines for structured and unstructured data in the Google Cloud ecosystem.
- Build complex datasets based on business requirements leveraging various tools.
- Design and develop 'big data' pipeline architecture.
- Identify opportunities for data acquisition via working with stakeholders and clients.
- Translate business needs into technical requirements.
- Leverage multiple Google Cloud services including Python, Cloud Functions, Pub Sub, BigQuery, Cloud Storage to integrate systems and data pipelines.
- Monitor pipelines using logs and alerts.
- Use SAP SLT to replicate SAP tables to Google Cloud.
- Develop JSON messaging structures for integrating applications.
- Implement DevOps and CI/CD practices to ensure pipeline reliability and scalability.
- Partition and retrieve content in Big Query and use IAM roles to secure access.
- Use authorized views to share data between projects.
The ideal candidate should be available to work US work hours with some flexibility to stretch their work hours occasionally.
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