Senior Cloud data engineer

Summary:

As the Senior Cloud Data Engineer you are challenged to build and operate a cloud data platform in line with vision and stakeholder expectation. The ideal candidate will have a solid understanding of cloud computing and technology systems, as well as a passion for data engineering, analytics and data science.  You should have a positive attitude and good communication skills to effectively share your knowledge.

Job Responsibilities  

• Enable business and IT teams to develop and deploy their cloud based data value cases on the Cloud data platform.
• Design, implement and maintain analytics/AI/data solutions fitting to the fully automated cloud data platform, while adhering to the compliancy and security guardrails.
• Design, implement, and maintain CI/CD pipelines, and create in close collaboration with data value case teams, re-usable cloud data products, and the underlying enabling tooling for Cloud based IT services, including documentation.   
• Design and implement, processes and tooling to monitor and improve the operational, security and performance health status of the products
• Work in DevOps / Scrum settings and apply techniques of continuous verification & delivery to ensure the quality of our products and services. You built it , you run it
• Work in close collaboration with the Central Data Office and Data Value case teams to have the necessary features and enablers in place to support all data value cases in nxp.
• Respond to technical issues in a professional and timely manner
• Be evangelist of Cloud computing to the rest of NXP
• Stay up to speed with the newest Cloud technologies (AWS, Azure)
• Pro-actively collaborate with other IT teams and business teams
• Actively participate in communities / forums / guilds on cloud computing and data solutions (e.g. data engineering, analytics, machine learning) (both external and internal to NXP)

Job Qualification

• Masters or Bachelor’s degree in Computer Science / Software Engineering (e.g. Data Engineering, Artificial Intelligence) with 10+ years of experience in cloud data platform
• Tangible experience designing, executing and supporting IT Cloud Solutions
• Understand (business) requirement and translate these in technical solutions
• Proven experience in software engineering techniques, cloud-native architecture and supporting tooling
• Prior experience in working on cloud platforms (AWS, Azure or similar) and microservice-architecture oriented solutions is a definite plus
• Knowledge of the DevOps culture and principles.
• Experience with data engineering, and possibly with data science
• Up to date and proven experience with CI/CD pipelines and supportive tooling
• Up-to-date knowledge of cybersecurity threats, current best practices, and latest software.

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