Exp - 3 - 8 yrs

Duration - 1-year contract

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Spark Streaming and Scala.
• Implement data processing algorithms for real-time applications.
• Optimize performance and troubleshoot issues in data pipelines.
• Collaborate closely with data scientists and analysts to ensure efficient data flow and storage.
• Monitor and support production systems, ensuring SLAs are met.

Requirements:

• Bachelor's degree in Computer Science or related field.
• 3 to 8 years of hands-on experience with Spark Streaming and Scala in a production environment.
• Strong understanding of distributed computing principles and big data technologies.
• Proficiency in SQL, NoSQL databases, and cloud platforms (AWS, Azure, GCP).