Big Data System Engineer (Platform Engineer)

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Overview of contract

On behalf of our client, a large bank in Switzerland, we are looking for a Big Data System Engineer (Platform Engineer).

Location: Zurich

Start date: Negotiable

Duration: 12 months - with possibility of extension/ internalization

Key Responsibilities:

You are operating Global Data Platform components (VM Servers, Kubernetes, Kafka) and applications (Apache stack, Collibra, Dataiku and similar)
Implement automation of infrastructure, security components, and Continuous Integration & Continuous Delivery for optimal execution of data pipelines (ELT/ETL).
Develop solutions to build resiliency in data pipelines with platform health checks, monitoring, and alerting mechanisms, quality, timeliness, recency, and accuracy of data delivery are improved
Apply DevSecOps & Agile approaches to deliver the holistic and integrated solution in iterative increments.
Liaison and collaborate 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 continuously implement features to improve platform performance.
Be current on the latest industry developments and technology trends to effectively 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.
Experience in DevOps, data pipeline development, and automation using Jenkins and Octopus.
Hands-on experience in integrating Data Science Workbench platforms (e.g. Dataiku).
In-depth knowledge and experience in one or more large scale distributed technologies including but not limited to: Hadoop ecosystem, Kafka, Kubernetes, Spark.
Expert in Python and Java or another static language like Scala/R, Linux/Unix scripting, Jinja templates, puppet scripts, firewall config rules setup.
VM setup and scaling (pods), K8S scaling, managing Docker with Harbor, pushing Images through CI/CD
Fluent in English, German is a plus.

If you are interested in this opportunity, we look forward to receiving your CV or if you have any questions, contact Kaixi Jia on +41 44 229 99 43.

Check out all open positions at Experis at www.experis.ch

Due to Swiss work permit restrictions, we can only consider applications from EU citizens or holders of valid working permit in Switzerland.

Big Data System Engineer (Platform Engineer)