Description

Develop and manage large-scale data processing workflows using Hadoop and Spark ecosystems, including ETL processes and Google Cloud migration.

This role is on-site.

Responsibilities

• Build and maintain ETL processes to move data across distributed systems.
• Execute data migration tasks from legacy systems to Google Cloud.
• Develop data processing scripts using Python and Apache Spark.
• Collaborate with team members within an Agile framework.

Required Skills

• 10+ years of experience in data engineering or related roles.
• Deep expertise in Hadoop and Apache Spark.
• Hands-on experience with Teradata.
• Proficiency in Python for data manipulation and ETL.
• Experience managing Google Cloud migration projects.
• Strong understanding of ETL design patterns.
• Familiarity with Agile methodologies.

Preferred Skills

• Ability to work effectively in virtual, collaborative environments.

Graduate degree in any field.

Key Skills

Education

Any Gradute