Senior Data Engineer

Luxoft; Leipzig; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology services provider is seeking a Cloud Data Engineer to enhance their AWS-based solutions for modern mobility projects. You will be responsible for the design and development of analytical solutions, focusing on data collection and automation while collaborating closely with clients. This opportunity offers a dynamic, Agile environment for delivering high-quality results, making it ideal for professionals committed to data excellence.

Qualifikationen

• Expertise as a Cloud Data Engineer with experience in data modelling and AWS.
• Familiarity with ETL/ELT processes and automation for data solutions.

Aufgaben

• Design and develop data collection, storage, and transformation components.
• Translate client business needs into final data structures.
• Provide transformation logic for data and adopt a descriptive data model.

Kenntnisse

Data Modelling

Data Science

Automation

AWS Cloud Toolchain

Tools

AWS

Jobbeschreibung

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 solution
• 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
• Adopt a descriptive data model for data aggregation to extract insights

Skills

Must Have :

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

Nice to Have :

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