Description

You will build and maintain data pipelines, ETL processes, and storage systems to support efficient data collection and analysis.

Responsibilities

• Design, implement, and automate large-scale enterprise data processes.
• Maintain ETL workflows and data storage architectures for high availability.
• Collaborate with data scientists and analysts to ensure data quality and accessibility.
• Test programs and databases, correct errors, and optimize performance.
• Define data requirements and best practices with senior management and technical teams.

Required Skills

• 5+ years of applicable experience in data engineering or related roles.
• Strong proficiency in Python or C# scripting.
• Deep knowledge of the ETL process and database technologies.
• Proven ability to troubleshoot complex data pipeline issues.
• Experience with data manipulation and storage optimization.
• Bachelor's degree in computer science, computer engineering, or a related technical field.

Key Skills

Education

Any Graduate