Data Integration Infrastructure Engineer

To be successful as a Data Integration Infrastructure Engineer you should have experience with:

• Proven experience in Informatica administration (including installation, configuration, upgrades) or Ab Initio administration (including Co>Operating System setup, EME configuration).
• Strong knowledge of ETL architecture principles and data integration best practices.
• Experience with repository management, user access control, and security implementation.
• Proficiency in troubleshooting complex ETL workflows and resolving production issues.
• Hands-on experience with Unix/Linux scripting.
• Oracle SQL expertise for database connectivity and query optimization.
• Experience with scheduling tools and job orchestration (Control-M, Autosys, or similar).

Some other highly valued skills may include:

• Experience with real-time data integration and streaming technologies.
• Scripting abilities in Python, Perl, or Shell for automation tasks.
• Familiarity with DevOps practices and CI/CD pipelines for ETL deployment.
• Experience with monitoring and observability tools (Elasticsearch, Logstash, and Kibana stack).
• Experience with version control systems like Git and CI/CD practices.
  • Experience with Container Platforms (OpenShift and Kubernetes).