
Data Engineering Specialist
1 day ago
This role is designed for individuals who excel in architecting and developing scalable data engineering solutions using Azure Databricks. Your primary responsibility will be to design, build, test, and deploy data pipelines that enable business insights.
Data Ingestion and Processing:
- You will design and implement data ingestion and processing workflows using Azure Databricks.
- Your focus will be on developing high-performance data warehouses and data lakes on Azure.
Collaboration and Problem-Solving:
- You will work closely with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Strong problem-solving skills are required to optimize data pipeline performance and ensure data quality and security.
Requirements:
- 5-12 years of experience in data engineering with a focus on cloud-based platforms.
- Proficiency in Azure Databricks, Azure Data Factory, and other related Azure services is essential.
- A strong understanding of big data processing frameworks such as Spark and Hadoop is necessary.
- Excellent communication skills and the ability to work in a fast-paced environment are highly valued.
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