Experis, a global leader in professional resourcing and project-based workforce solutions, seeks a Big Data System Engineer (Platform Engineer) for our client, a large bank in Switzerland.
Overview of Contract
This contract is for 12 months with the possibility of extension or internalization.
Key Responsibilities
* Operate Global Data Platform components including VM Servers, Kubernetes, Kafka, and applications like Apache stack, Collibra, and Dataiku.
* Implement automation of infrastructure, security components, and Continuous Integration & Continuous Delivery for optimal data pipeline execution (ELT/ETL).
* Develop solutions to build resiliency in data pipelines with platform health checks, monitoring, and alerting mechanisms.
* Apply DevSecOps & Agile approaches to deliver an integrated solution in iterative increments.
* Liaise with enterprise security, digital engineering, and cloud operations to gain consensus on architecture solution frameworks.
* Review system issues, incidents, and alerts to identify root causes and implement features to improve platform performance.
* Stay current on the latest industry developments and technology trends to lead and design new features/capabilities.
Required Experience and Skills
* 5+ years of experience in building or designing large-scale, fault-tolerant, distributed systems.
* Experience with physical Disaster Recovery testing in large data platforms on premise, with upstream and downstream pipelines.
* DevOps, data pipeline development, and automation using Jenkins and Octopus.