
Chief Data Pipeline Architect
2 days ago
Senior Data Engineer
Job Description:
- Develop and maintain large-scale data pipelines for diverse datasets.
- Build complex datasets based on business needs.
- Design a robust data pipeline architecture.
- Identify opportunities for data acquisition through stakeholder collaboration.
- Prioritize business requirements to technical specifications.
Key Responsibilities:
- Utilize Google Cloud Ecosystem tools such as Python, DataFlow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage to integrate systems and data pipelines.
- Implement log monitoring and alerting for effective pipeline tracking.
- Apply SAP SLT to replicate SAP tables to Google Cloud using SLT.
- Develop JSON messaging structure for integrating with various applications.
- Implement DevOps and CI/CD practices (GitHub, Terraform) for reliable and scalable data pipelines.
- Partition and cluster content in BigQuery, applying IAM roles and Policy Tags for secure data access.
- Use authorized views to share data between projects while securing dataset access via roles.
- Design an ingestion pipeline using REST APIs.
- Offer recommendations to improve data quality, reliability, and efficiency.
Requirements:
- Junior Data Engineer: 2-3 years of experience in GCP data engineering role.
- Senior Data Engineer: 4+ years of experience in GCP data engineering role.
- At least 1 year of hands-on experience with GCP tools (Python, SQL, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage).
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