Senior Data Engineer (m/w/d)

ZipRecruiter; Stuttgart; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A leading tech company seeks a skilled Cloud Data Engineer in Stuttgart, Germany, to develop and implement data solutions using AWS. The role involves designing data pipelines, enhancing data models, and ensuring top-quality data transformation processes. The ideal candidate will have experience with cloud environments and a passion for data engineering.

Qualifikationen

• Expertise in Cloud Data Engineering with a strong focus on AWS.
• Experience in Data Modelling and Data Transformation.
• Proficient in creating and maintaining data pipelines.

Aufgaben

• Design and develop data collection, storage, and transformation components.
• Create and maintain data pipelines for analytical solutions.
• Translate business needs into final data structures.

Kenntnisse

Data Modelling

Data Science

AWS

Automation

Tools

AWS Cloud Toolchain

Jobbeschreibung

Job Description

In the rapidly evolving landscape of modern mobility and transport services, a significant challenge lies in seamlessly integrating the elements of automotive OEM infrastructure with diverse services of external partners.

Luxoft will develop a Cloud platform to exchange, integrate and process data from and to the vehicle, the Mobileye SDS backend, and the MaaS System. The AWS-based solution will be designed by reviewing and improving the current concept in close cooperation with the client and further stakeholders to identify, manage and document the requirements. Our approach will be iterative, adaptive, and executed with a proactive Agile methodology. Luxoft will provide a development team with great experience in modern development practices, which are self-organized, cross-functional, and experienced to deliver in quality, time, and budget.

Responsibilities:

• Design and development of data collection, storage and transformation components for analytical solutions, also known as "ETL" or "ELT" in on-prem or cloud platforms and tools
• Design and development of automation / process control for such solutions
• Design and development of data storage structures / services for such solutions
• Translate client business needs into final data structures.
• Provide transformation logic for data
• Design analytical target data structures
• Dive into data and pinpoint tasks where manual participation can be eliminated with automation
• Create & maintain data pipelines
• Adopt a descriptive data model for data aggregation to extract insights

Mandatory Skills Description:

• Cloud Data Engineer expert with experience in Data Modelling and Data Science used to work with AWS cloud toolchain.

Nice-to-Have Skills Description:

• AWS Certificates would be nice to have: AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect - Associate/Professional

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• English: C1 Advanced