We're seeking a Data Analysis Automation Engineer who will work in a multi-country team with wide experience in Automation of processes and Hardware Design.
Job Description
In your new role you will:
- Build and maintain R&D's data infrastructure for the optimal extraction, transformation, and loading of data from a wide variety of data sources
- Collect business requirements and translate them into technical specifications in order to design, develop, implement and maintain key R&D data use cases
- Clean and wrangle data from primary and secondary sources into formats that can be efficiently utilized by the team and other data consumers
- Lead and/or collaborate with a team of students and data professionals to develop secure, scalable, high-performance, and reliable data products or services for R&
- Support the implementation of R&D's data strategy, including defining data standards, principles, data sources, storage, pipelines, and data flow
Your Profile
You are best equipped for this task if you have:
- Degree in Data Science, Computer Science, Mathematics, Electrical Engineering or similar field of studies
- 1-3 years of experience working in business process improvement and data analytics projects, especially in the areas of business analysis, data visualization and data engineering / architecture
- Proficiency in data analysis software (SQL, Excel, Python) and data visualization tools (Tableau)
- Experience or knowledge in data governance, data strategy, and/or AIML techniques to drive efficiency is preferred.
- Experience with tools / platforms such as Denodo, Jenkins, Bitbucket, GitLab, SQL databases and Stargazer is highly desirable.
- Experience in working with collaboration tools Jira & Confluence
- Experience in Project Reporting
- Willingness to learn the meaning of the data itself related to Hardware Development
- Preferred to have relevant previous internship experience
- Fluency in English with possibility to improve English skills with us
Contact:
[Confidential Information]
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Are you in
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