
Drive Business Transformation with Cloud Data Engineering
2 days ago
We are seeking a seasoned Cloud Data Engineer to drive our organization's data transformation initiatives.
- Design and implement scalable cloud-based data pipelines using Azure Databricks (PySpark/Scala).
- Develop and deploy event-driven data processing and automation solutions using Azure Function Apps.
- Integrate Databricks with other Azure services like Data Lake Storage, Synapse, Event Hubs, Key Vault, etc.
- Optimize Spark jobs for performance and cost-efficiency.
The ideal candidate will have strong experience with Azure Databricks and Apache Spark (PySpark or Scala), proficiency in developing Azure Function Apps using C#, Python, or JavaScript, and solid understanding of Azure Data Lake, Event Hubs, Blob Storage, and Key Vault.
Key Skills:
- Cloud Data Engineering
- Apache Spark
- Azure Databricks
- Azure Functions
- Cloud Architecture
What We Offer:
Opportunity to work with cutting-edge technologies, collaborative team environment, and opportunities for growth and development.
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