Description

You will own data engineering workflows, modeling, and ETL processes within data warehousing and analytics environments.

This role is on-site.

Responsibilities

• Build and maintain ETL processes to move and transform data across systems.
• Design and implement data models to support analytics and warehousing needs.
• Manage data engineering tasks related to Big Data and Hadoop clusters.
• Ensure data quality and follow data governance best practices.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in Python, Scala, or SQL.
• Hands-on experience with Py-Spark and HDFS.
• Strong working knowledge of Big Data and Hadoop ecosystems.
• Experience with cloud-based platforms including AWS, Azure, or GCP.
• Solid understanding of data modeling and data warehousing principles.
• Proven analytical and problem-solving abilities.

Preferred Skills

• Degree in Computer Science, Engineering, or a related field.

Key Skills

Education

ANY GRADUATE