
Cloud Data Architect
14 hours ago
About the Role:
We are seeking an experienced Cloud Data Architect to design, build, and maintain scalable data processing systems on cloud platforms. As a key member of our team, you will be responsible for developing efficient data models and schemas for structured and unstructured data.
Key Responsibilities:
- Data Pipeline Development:
- Design and develop ETL/ELT pipelines using tools like Cloud Dataflow, Apache Beam, and Cloud Dataprep.
- Implement real-time data streaming solutions using Cloud Pub/Sub or Apache Kafka.
- Data Storage & Warehousing:
- Manage and optimize storage solutions such as BigQuery, Cloud Storage, and Cloud Spanner.
- Data Integration & Transformation:
- Integrate data from multiple sources into unified data lakes or warehouses.
- Performance Optimization:
- Monitor and troubleshoot data pipelines.
- Security & Compliance:
- Implement data governance policies.
Requirements:
- Proficiency in Python, SQL, and optionally Java or Scala.
- Experience with GCP services: BigQuery, Cloud Dataflow, Cloud Storage, Cloud Composer, etc.
- Strong understanding of data warehousing, data modeling, and ETL processes.
- Familiarity with real-time data processing and streaming architectures.
- Knowledge of data governance, security, and compliance standards.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field.
- GCP Professional Data Engineer certification (preferred).
- 2+ years of experience in data engineering, preferably in cloud environments.
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