Description

You will design and manage large-scale data infrastructure and processing systems.

Responsibilities

• Build and maintain scalable ETL processes and data pipelines.
• Optimize data processing workflows using Spark and Scala.
• Architect and manage cloud-based data lakes and warehouses.
• Implement and monitor data integration within AWS environments.

Required Skills

• 10+ years of experience in data engineering roles.
• Expertise in Scala and Spark.
• Extensive experience with AWS services including S3, Lambda, and EC2.
• Deep understanding of ETL processes and big data technologies.
• Proven track record with cloud architecture and data warehousing.
• Experience optimizing complex data pipelines.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate