Senior Data Engineer with AWS / Geo-spatial Data

10 Months ago • 5 Years +

Quality Assurance

Job Description

Luxoft seeks a Senior Data Engineer with extensive AWS and geospatial data experience to contribute to the development of virtual testing tools for ADAS/HAD systems. Responsibilities involve creating trustworthy reference data, software development within an Agile environment (Scrum), and presenting products to clients. The role focuses on enabling the development and validation of ADAS functions to meet quality goals through data engineering, processing, and visualization. This involves working on tools for testing and validating higher automation level cars (Level 3), requiring substantial experience in data handling and processing using technologies like Apache Spark, Pandas, and AWS.

Good To Have:

Other programming languages
Other Languages

Must Have:

5+ years Data Engineering experience
Geo-spatial data experience
Apache Spark, Pandas expertise
4+ years Python experience
2+ years AWS experience
CI/CD, Git proficiency
4+ years corporate experience

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Project description

Luxoft is one of the major software services companies world-wide. In particular, we develop high-quality software in automotive industry for most famous car makers.

The software inside a vehicle was traditionally expected to be a very controlled and self-contained environment. Equipping cars with perception and machine intelligence changes a lot in the overall picture of the vehicle manufacturer. Luxoft's goal is to empower our customers, with deep domain knowledge and smart solutions, to develop cars of the future.

The project is dedicated for development of the tools for virtual testing of ADAS systems using data-driven development approach. Tools to be extended to the 2025 kit and allow to test and validate higher automation level cars and bring them to the roads. The target automation level is 3, which means that the car will be fully responsible for driving under specific conditions (highways, specific areas, traffic jams, etc). To bring fully autonomous car to the roads and to bring the future to reality, its safety has to be proven, for this purpose testing on private grounds or on public roads is not enough as it requires hundreds of millions of kilometers to ride, so the alternative way of testing - virtual testing and data based testing become more and more actual.

For the development of the next generation tooling for ADAS (Advanced Driver Assistance Systems) and HAD (Highly Automated Driving) functions for a major German car maker, we are looking for talented engineers and developers.

Join our enthusiastic and experienced teams and develop software for the vehicles of the future that will be used on a daily basis by millions of drivers once the next generation of cars hits the roads starting from 2025.