Description

Design and manage large-scale data processing systems across multiple cloud environments.

Responsibilities

• Build and maintain data pipelines using Spark and Hadoop.
• Manage data warehousing and querying via Hive.
• Deploy and optimize data workloads across GCP, Azure, and AWS platforms.
• Ensure data integrity and scalability within distributed architectures.

Required Skills

• 12+ years of experience in big data engineering.
• Strong proficiency with Hadoop and Spark.
• Experience managing data warehousing and querying via Hive.
• Hands-on deployment and optimization experience on GCP.
• Hands-on deployment and optimization experience on Azure.
• Hands-on deployment and optimization experience on AWS.
• Any Graduate degree.

Key Skills

Education

Any Graduate