Description

You will design, develop, and deploy scalable big data solutions using Hadoop, Spark, and Hive.

This role is on-site.

Responsibilities

• Design and implement big data pipelines and workflows ensuring efficiency, security, and reliability.
• Develop scalable big data solutions using Hadoop, Spark (Batch/Streaming), and Hive.
• Optimize big data solutions to improve performance, scalability, and cost-efficiency.
• Deploy big data solutions leveraging best practices for large-scale environments.
• Collaborate with cross-functional teams to integrate big data solutions with business goals.

Required Skills

• 5+ years of experience with Hadoop, Spark, and Hive.
• Proficiency in Python, Java, and/or Scala.
• Experience with GCP services and tools for big data solutions.
• Strong Shell scripting skills.
• Bachelor's degree in Computer Science or related field.
• Ability to work independently and solve complex problems.
• Strong communication and collaboration skills.

Key Skills

Education

Bachelor's degree