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.
- Solid 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

📌 Abinitio Admin (Hyderabad)
🏢 Infosys
📍 Hyderabad