Description

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

This role is on-site.

Responsibilities

• Translate business requirements and data mapping documents into technical designs for high-quality project delivery.
• Develop and execute unit tests; support system integration and regression testing.
• Troubleshoot and resolve issues across development, testing, and production environments.
• Collaborate with cross-functional teams to communicate progress, risks, and blockers.
• Mentor junior developers and provide technical guidance on data engineering practices.

Required Skills

• 5+ years of experience in ETL development within enterprise data warehouse environments.
• Strong proficiency in Python, PySpark, and SQL for data processing.
• Hands-on experience with ETL tools such as IBM DataStage.
• 5+ years of experience with database programming and data processing.
• 3+ years of experience working with cloud platforms such as 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 defining data warehouse roadmaps and future-state architectures.

Key Skills

Education

Any Gradute