Cloud Data Engineer
12 hours ago
Job Overview:
We are seeking an experienced Data Engineer to lead the design and development of scalable data processing systems on Google Cloud Platform (GCP).
Key Responsibilities:
- Data Pipeline Development: Design and implement ETL/ELT pipelines using Cloud Dataflow, Apache Beam, and Cloud Dataprep.
- Real-time Data Streaming: Implement solutions using Cloud Pub/Sub or Apache Kafka.
- Data Storage & Warehousing: Manage storage solutions like 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 and ensure compliance with regulations.
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.
What We Offer:
- A dynamic work environment that fosters collaboration and innovation.
- Opportunities for professional growth and development.
- Competitive compensation and benefits package.
About Us:
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