Data Engineering Lead for Scalable Cloud Solutions
2 days ago
We are seeking an experienced Data Engineering Lead to join our team at Hyperion AI.
As a key member of our engineering organization, you will play a pivotal role in designing, architecting, and leading the development of scalable data processing pipelines using Java and Apache Spark.
You will work closely with cross-functional teams to build data-intensive applications and drive best practices in cloud-based architecture.
The ideal candidate will have deep expertise in Apache Spark, Azure Data Services (ADLS, Azure Blob Storage, Azure Database), and Redpanda.
Key Responsibilities:
- Design and Architect Distributed Data Processing Systems
- Lead the design and implementation of large-scale Apache Spark jobs using Java for processing vast datasets from various sources
- Architect robust, high-performance data pipelines integrated with Azure Data Lake Storage (ADLS), Azure Blob Storage, and Azure Databases for real-time and batch processing
Required Qualifications:
- 13+ years of experience in software development with strong expertise in Java and JVM-based technologies
- 5+ years of experience working with Apache Spark for data processing in Java
- Extensive experience with Azure Data Services, including Azure Data Lake Storage (ADLS), Azure Blob Storage, and Azure Databases
Estimated salary: $160,000 - $200,000 per year. This estimate is based on industry standards and may vary depending on location and other factors.
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