Senior Data Engineer

Luxoft; Deutschland; Vor Ort; EUR 72.000 - 90.000; Vollzeit

Zusammenfassung

Luxoft is seeking a Senior Cloud Data Engineer to contribute to a cutting-edge Cloud platform enhancing mobility services. This role involves designing sophisticated data solutions and automating processes for improved data management in collaboration with clients and partners. The ideal candidate will possess extensive experience with AWS and a strong foundation in data engineering.

Qualifikationen

• Cloud Data Engineer expert with significant AWS experience.
• Knowledge in Data Modelling and Data Science essential.
• Experience in automating data processes and structures.

Aufgaben

• Design and develop data collection, storage, and transformation components.
• Implement automation and process control for data solutions.
• Create and maintain data pipelines, ensuring efficient data structures.

Kenntnisse

Data Modelling

Data Science

Automation

AWS Cloud Toolchain

Ausbildung

AWS Certified Data Engineer

AWS Certified Solutions Architect

Jobbeschreibung

Project 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

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

Other

Languages

English: C1 Advanced

Seniority

Senior