Description

You will design and develop ETL/ELT solutions using data warehouse best practices and database modeling methodologies.

Responsibilities

• Design, develop, test, and adapt ETL/ELT code and jobs to accommodate source data changes and new business requirements.
• Manage big data pipelines using Hadoop and Hive.
• Develop automated data audit, validation processes, and error handling with rollback capabilities.
• Execute data administration tasks including job scheduling, troubleshooting, database backups, and performance tuning.
• Create data lineage maps and technical documentation for support team transitions.

Required Skills

• 4+ years of experience in ETL/ELT development.
• Experience with Hadoop and Hive.
• Proficiency in database modeling and data warehouse design.
• Ability to develop automated data audit and validation processes.
• Experience managing job workflows and file processing automation.
• Knowledge of performance tuning and troubleshooting job errors.
• Experience working within HIPAA and healthcare regulatory frameworks.
• Bachelor's degree or equivalent graduate level education.

Preferred Skills

• Experience providing technical leadership in data sourcing platform architecture.

Key Skills

Education

ANY GRADUATE