
Senior Cloud Engineering Lead
6 days ago
As a Senior Cloud Engineering Lead, you will play a pivotal role in designing and implementing large-scale data processing systems on the cloud.
This is an exciting opportunity to work with cutting-edge technologies such as cloud-based data warehousing, batch and streaming data ingestion, and building end-to-end pipelines.
- Cloud Proficiency
- Proficient in GCS, PubSub, Dataflow or DataProc, Bigquery, Airflow/Composer, and scripting languages like Python or Java.
- ETL Expertise
- Expertise in building pipelines using Python or Java, and best practices for ETL processes.
- Data Warehouse Concepts
- Familiarity with beginner to intermediate level data warehousing principles.
Key Skills Required:
1. Cloud-Based Technologies - Proficient in GCS, PubSub, Dataflow or DataProc, Bigquery, Airflow/Composer, and Python or Java.
2. ETL Process Optimization - Skilled in building pipelines using Python or Java, and best practices for ETL processes.
3. Data Ingestion and Pipeline Building - Experienced in SQL and NoSQL databases, both on-premise and on-cloud.
4. Data Warehouse Architecture - Strong understanding of beginner to intermediate level data warehousing principles.
Benefits:
• Opportunity to work with advanced cloud-based technologies
• Collaborative environment
• Continuous learning opportunities
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