
Cloud Data Architect
2 days ago
As a Cloud Data Engineer, you will be responsible for designing, developing, and maintaining scalable data processing systems on cloud platforms.
- Data Pipeline Development: Design, develop, and maintain ETL/ELT pipelines using tools like Google Cloud Dataflow, Apache Beam, and Cloud Dataprep.
- Implement real-time data streaming solutions using Cloud Pub/Sub or Apache Kafka.
- Manage and optimize storage solutions such as BigQuery, Cloud Storage, and Cloud Spanner.
- Design efficient data models and schemas for structured and unstructured data.
- Data Integration & Transformation: Integrate data from multiple sources into unified data lakes or warehouses. Cleanse, enrich, and transform raw data into analytics-ready formats.
- Performance Optimization: Monitor and troubleshoot data pipelines. Optimize workflows for scalability, performance, and cost-efficiency.
- Security & Compliance: Implement data governance policies. Ensure compliance with data protection regulations (e.g., GDPR, HIPAA).
Required Skills:
- 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.
Key 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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