Abinitio Admin

Educational Requirements

Bachelor of Engineering

Service Line

Data Analytics Unit

Responsibilities

• Install, configure, administer, and maintain Ab Initio environments across Development, QA, UAT, and Production.
• Manage and support Ab Initio components including:
• Co-Operating System (Co Op)
• Enterprise Meta Environment (EME)
• Graphical Development Environment (GDE)
• Continuous Flows
• Perform software upgrades, patch management, environment migrations, and platform health checks.
• Manage user administration, security configurations, and access controls.
• Ensure high availability and reliability of the Ab Initio platform.
• Monitor critical ETL workflows and batch processes.
• Troubleshoot performance bottlenecks, job failures, and environment-related issues.
• Perform root cause analysis (RCA) and implement preventive measures.
• Support 24x7 production environments and handle critical incidents.
• Coordinate with infrastructure, database, and application support teams.
• Provide support for Ab Initio graph design, deployment, and troubleshooting.
• Review and optimize ETL jobs for performance and scalability.
• Assist development teams in resolving graph, metadata, and execution issues.
• Analyze complex ETL workflows and recommend best practices.
• Support code migration and release activities across environments.

Technical and Professional Requirements

• 59 years of experience in Ab Initio Administration.
• Strong knowledge of:
• Co-Operating System (Co-Op)
• Enterprise Meta Environment (EME)
• Graphical Development Environment (GDE)
• Continuous Flows
• Good understanding of Ab Initio development concepts and graph architecture.
• Experience in environment management, code deployments, and release support.
• Strong Linux/Unix administration skills.
• Expertise in Shell Scripting and automation.
• Working knowledge of Python scripting.
• Strong SQL and database troubleshooting skills.
• Experience with production support and incident management.
• Experience with Autosys, Control-M, or enterprise scheduling tools.
• Exposure to CI/CD pipelines and DevOps tools such as Jenkins, Git, and Ansible.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Understanding of Data Warehousing and ETL best practices.
• Familiarity with Hadoop, Spark, or Big Data ecosystems.
• Experience with Agile and ITIL processes.

Preferred Skills

• Technology->Data Management - Data Integration Administration->Ab Initio Administration