Cloud Data Engineering Lead
4 days ago
CyberTec is looking for a Cloud Data Engineering Lead to drive the design and development of large-scale data processing systems.
The successful candidate will have expertise in cloud-based technologies, elastic architectures, and cost-effective solutions using Cosmos, Azure Data Factory, Azure Synapse, and Databricks platforms.
Job Overview:
- Lead the design and development of scalable data processing systems using cloud-based technologies.
- Oversee the implementation of high-performance solutions using data engineering tools and platforms.
- Collaborate with cross-functional teams to integrate data from various sources into the cloud-based data platform stack.
Responsibilities:
- Provide technical leadership and guidance to junior engineers on data engineering projects.
- Develop and maintain technical roadmaps and strategies for data engineering initiatives.
- Work closely with data scientists and analysts to ensure data integrity and accuracy.
Requirements:
- A minimum of 10+ years of experience in data engineering, with expertise in at least two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management.
- Experience with Python, Spark, and SQL.
- Familiarity with streaming technologies like Kafka, IBM MQ, and EventHub is a plus.
Estimated Salary: $65-70 per hour (C2C)
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