POSITION GENERAL DUTIES AND TASKS :
- - Strong in data engineering concepts and programming
- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Experience in supporting data transformation, data structures, metadata, dependency and workload management.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Provide operational support and ensure SLI of Applications
- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA
- Proactively Identify and Identify opportunities for preventive Maintenance
- Perform Administration & Optimization to achieve of Optimal System Performance
- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards
- Recommend Design and Operational Optimizations
- Respond on time to the queries raised by various business units
- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders
- Work with Project/Enhancement Teams to Review, Transition for Run Team
- Participate in Disaster Recovery and Business Continuity exercises.
- Support relevant software/platform/database upgrade for the systems
- Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications - Support data APIs, data science ML applications running on Kubernetes platform.