Data Engineer

5 days ago

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Logo of SEGULA Technologies

SEGULA Technologies

SEGULA Technologies is a global engineering group advancing various industries worldwide through technological and industrial innovations. The company designs and implements projects that revolutionize areas such as automotive, aerospace, defence, rail, and energy sectors. SEGULA Technologies aims to make vehicles safer, more autonomous, and environmentally friendly, while also driving the digital transformation of its clients. With a focus on e-mobility, environmental transition, Industry 4. 0, and augmented reality, SEGULA Technologies is committed to bringing technological added value in large-scale projects. They operate in multiple countries, strengthening their global presence with offices in major industrial regions.

Engineering β€’ Consulting β€’ Automotive β€’ Aerospace β€’ Rail

πŸ“‹ Description

β€’ Owns specific processes and applications within the overall Product Development Process. β€’ Their primary role is to work within Engineering and with cross functional organizations such as IT, Manufacturing, Finance, Purchasing and Supply Chain to drive uniformity in the creation and refinement of the processes and applications they own.

🎯 Requirements

β€’ Experience in BIG DATA and software developing SQL, Python, Snowflake, DataBricks, Power BI, JAVA β€’ Bachelor of Science in Engineering β€’ Big Data Experience with one or both: SnowFlake, DataBricks β€’ Languages: SQL, Python β€’ Data Modeling Tool β€’ Experience with one or more of the following: MS 365/Teams, SharePoint, Power BI, PowerApps, Power Automate, Palantir Foundry, AWS, Azure β€’ Demonstrated excellent leadership, interpersonal, written/verbal communication, and organizational skills β€’ Ability to communicate and present to all levels of Management β€’ Self-starter with a "will do" attitude β€’ High level of proficiency in English. β€’ PREFERRED QUALIFICATIONS: Advanced technical degree such as Data Science, Business Analytics, Computer Systems Analysts, Computer Science, Information Technology or equivalent β€’ Business Intelligence, Data Analytics, Data Engineering, or Data Science experience. β€’ Process Mapping, Business Requirements Writing, Process Documentation β€’ Highly capable in Microsoft Office Suite (PowerPoint, Excel, Word) β€’ Frameworks: Spark, Hadoop β€’ Engineering Process Experience (such as): Planning, Sourcing, Validation, Quality, Manufacturing, Logistics, Program Management.

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