Description

Design and maintain enterprise ETL pipelines and data solutions.

Responsibilities

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

Required Skills

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

Preferred Skills

• Experience with modern cloud data platforms such as Snowflake.
• AWS certifications (Solutions Architect, DevOps Engineer, or Professional level).
• Experience in the financial services or banking industry.

Key Skills

Education

Bachelor's degree