Data Integration Consultant

• Design and maintain integration pipelines to consolidate data and processes across multiple systems (Oracle database, SQL Server, and others).
• Re-platform and modernize existing workloads into a scalable enterprise environment.
• Implement reusable frameworks for automation (full, incremental, CDC).
• Build and maintain layered environments (staging, refined, curated) to support system reliability and consistency.
• Build and maintain cross-system and data integration for unified information access across AGE managed applications.
• Apply validation rules, quality checks, and access controls to ensure reliable outcomes.
• Support metadata management including dictionaries, glossaries, and lineage documentation.
• Enforce retention and lifecycle management policies.
• Manage and configure Linux server environments used for platform operations.
• Create, schedule, and maintain cron jobs for automated processes.
• Develop Python and SQL scripts for system tasks, file handling, and process automation.
• Monitor and troubleshoot system processes, logs, and file transfers.
• Implement monitoring, logging, and orchestration for automated processes.
• Provide DevOps support including version control, rollback, and deployment automation.
• Troubleshoot and optimize performance across system integrations, queries, and workflows.

• Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience).
• 5+ years of experience in platform engineering, system integration, or enterprise technology environments.
• Public sector or healthcare IT experience is preferred.

• Strong hands-on experience with Oracle Database (19 C) including PL/SQL and performance optimization.
• Proficiency in system integration and ETL/ELT frameworks such as SSIS, Oracle Data Integrator (ODI), or equivalent.
• Knowledge of governance practices: validation, access controls, and metadata management.
• Proficiency with Linux server environments
• Solid working experience in writing cron jobs.
• Solid working experience in Python scripts.
• Solid working experience in SQL Scripts
• Troubleshooting Linux-based file transfers and system processes.
• Excellent communication and collaboration skills to work effectively with teams across all levels of the organization.
• Working knowledge of data warehousing and data modeling concepts.

Morph Enterprise