Data Architect for Distributed Systems
6 days ago
We are looking for a seasoned data architect to design, build, and maintain large-scale data pipelines using Java, Spring Boot, and Scala.
This role requires strong expertise in distributed systems, scalability, and reliability. Your primary focus will be on developing and managing data pipeline processes with Spark and Airflow to ensure efficient data movement and transformation.
As a data architect, you will collaborate with data scientists and product teams to understand data requirements and create documentation for data architecture and processes.
Key Responsibilities:
• Utilize Kafka for real-time data streaming and integration across various systems.
• Work with distributed systems to ensure scalability and reliability in data processing and storage.
• Design and implement robust data pipelines that handle large datasets efficiently.
Requirements:
• 3+ years of experience in designing and building large-scale data pipelines.
• Expertise in Java, Spring Boot, Scala, Spark, and Airflow.
• Strong understanding of distributed systems and their applications.
• Excellent collaboration and communication skills.
Estimated Salary: $150,000 - $180,000 per year.
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