Description

Design, develop, and maintain ETL pipelines and data solutions for enterprise environments.

This role is on-site.

Responsibilities

• Translate business requirements and data mapping documents into technical designs.
• Develop unit tests and support system integration and regression testing.
• Troubleshoot and resolve issues across development, testing, and production environments.
• Optimize data processes and contribute to continuous improvement initiatives.
• Mentor junior developers and lead specific projects to ensure timely delivery.

Required Skills

• 5+ years of experience in ETL development within enterprise data warehouse environments.
• Strong proficiency in Python, PySpark, and SQL.
• Hands-on experience with IBM DataStage.
• 5+ years of experience with database programming and data processing.
• 3+ years of experience with cloud platforms (AWS or Azure), including migration projects.
• Solid understanding of data warehousing concepts, architecture, and best practices.

Preferred Skills

• Experience with modern cloud data platforms such as Snowflake.
• AWS certifications (Solutions Architect, DevOps Engineer, or Professional level).

Key Skills

Education

Bachelor's degree