Cloud Data Architect
7 hours ago
Job Opportunity:
We are seeking a skilled Data Engineering professional to design and build scalable data processing systems on Google Cloud Platform.
Main Responsibilities:
- Data Pipeline Development: Develop, maintain and optimize ETL/ELT pipelines using tools like Cloud Dataflow, Apache Beam and Cloud Dataprep.
- Real-Time Data Streaming: 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 for improved efficiency.
- Security & Compliance: Implement data governance policies and ensure compliance with data protection regulations.
Required Skills and Qualifications:
- Proficiency in Python, SQL and optionally Java or Scala programming languages.
- 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.
Educational Background:
- Bachelor's degree in Computer Science, Engineering or related field.
- GCP Professional Data Engineer certification (preferred).
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