- Minimum of 6-8 years experience with solid hands-on and administration experience on IBM DataStage & Control-M applications
- Strong knowledge of ETL design and data integration concepts, with good understanding of data modelling and schema design
- Extensive Knowledge on Development, System operations and administration activities on both the applications
- Managing Job scheduling, health checks, Access management and performance optimization in Control-M
- Fair knowledge on Implementation/ Installation/ Upgrade/ Patch Management / Vulnerabilities fixes
- Manage user access, security, and authentication within DataStage. Monitor and optimize DataStage job performance at scale
- Create reusable components, templates, Self-service portals/ utilities and frameworks for efficient development. Suggest process improvements and optimizations
- Implement best practices for data integration workflows and Control-M Jobs
- Experience monitoring critical metrics such as throughput, latency, channel utilization, and CPU/memory usage and act diligently on any deviations
- Experience building and managing pipelines such as Jenkins, GitLab CI, and GitHub Actions
- Good Stakeholder Management skills articulating both technical and functional aspects.
- Strong Linux Scripting skills
- Exposure to automations in any form like Agentic approach, Python, scripting etc would add value
- Must possess automation first mindset and experience working in Dev-Ops model
- Ability to quickly acquire technical skills and willingness to pick up other technologies within the platform
- Must possess strong understanding of Platform Infrastructure and strong knowledge of AWS infrastructure is required
- Experience working with Agile, Waterfall, and hybrid methodologies
- Willingness to support in shifts
Roles & Responsibilities
- Standardization of technical standards and processes between development teams in India and the United States.
- Conducting and overseeing code quality and architecture reviews.
- Early detection and development of technical challenges and planning solutions.
- Optimization and updating management of the technology stack.
- Early reporting and response to risks and issues.
- Building a close collaboration system.