Description

You will design, develop, and deploy scalable big data solutions within cloud environments.

Responsibilities

• Design and develop big data solutions using Hadoop, Spark, Hive, and cloud services.
• Architect and implement optimized data pipelines and workflows for GCP, Azure, or AWS.
• Lead the migration of existing data systems to cloud environments.
• Deploy big data solutions following cloud-based best practices.
• Optimize existing solutions for performance, scalability, and cost-efficiency.

Required Skills

• 12+ years of experience in big data engineering.
• Hands-on experience with Hadoop, Spark (Batch/Streaming), and Hive.
• Deep understanding of GCP, Azure, or AWS services and tools.
• Proven experience migrating data systems to cloud platforms.
• Proficiency in Shell scripting.
• Programming experience in Java and/or Scala.
• Ability to design and deploy big data solutions in cloud environments.
• Any Graduate degree.

Key Skills

Education

Any Graduate