A Solution Engineer for Data Analytics is responsible for designing and implementing solutions for analyzing large sets of data - Mount Washington, United States - Nexus Innovations

Nexus Innovations
Nexus Innovations
Verified Company
Mount Washington, United States

1 week ago

Meredith Sinclair

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Meredith Sinclair

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Description

Job Description:
Technical Parameter Definition and Ensuring the Necessary Foundations for the Development of Applications in the Data Analytics & AI Team Configuration, Management, and Operation of DevOps Environments, including the Care of Azure Resources such as Databases, Storage, VMs, and Azure Functions Technical Consulting and Support for Conducting Analytical Proof-of-Concepts and Transitioning them into Productive Applications Conceptualization, Rapid Prototyping, and Implementation of Scalable Architectures and Data Pipelines Driving Performance Optimization and Scalability Analysis Close Collaboration with Project Managers and Data Scientists, as well as Subject Matter Experts within Agile Projects Coordination with IT and Data Protection Teams to Ensure Compliance with Data Security and Privacy Policies, as well as Handover of Applications into Operation Tracking Relevant Trends and Developments and Utilizing them for Analytical Applications

Qualifications:
Successfully Completed Degree in Computer Science or Comparable Qualification Minimum of 3 Years of Professional Experience in Architecture, Implementation, and Operation of Data Analytics Infrastructure such as Relational and NoSQL Databases Experience in Utilizing MS Azure and Current Tools such as Spark, MongoDB, Databricks Expertise in Methods and Frameworks of Professional Software Development and Software Architecture Knowledge in Current Data Science Methods and Programming with Python is an Advantage Independent Work Style, Excellent Problem-Solving Skills, and the Ability to Manage Multiple Topics Simultaneously Strong Communication Skills in German and

English And Above All:
Enthusiasm for Driving the Use of Data Analytics and Artificial Intelligence at TÜV S
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