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Job Description
Roles & Responsibilities
Utilize anonymized and aggregated data from test and customer fleets to contribute to the design, development, and operation of ADAS customer functions.
Collaborate with our customer to adapt, further develop, and operate backend solutions for ADAS customer data.
Manage and implement various aspects of the data lifecycle, including data feed, data quality checks, data preparation, data enrichment framework, and data storage.
Stay abreast of industry trends and technologies, ensuring that our solutions remain innovative and aligned with best practices.
Collaborate with cross-functional teams and stakeholders to ensure the successful integration of cloud services, with a current focus on AWS.
Must have
Strong AWS experience
Strong experience with Python and associated data science libraries
Experience with Orchestration (Apache Spark / Apache Airflow / Step function)
Experience with Container services (Docker, AWS EKS, Kubernetes/OpenShift)
Experience with Infrastructure as Code (Terraform / AWS CloudFormation)
Experience with CI/CD, git
Solid communication skills, with ability to communicate sophisticated technical concepts and align on decisions with both global and Chinese stakeholders
Bachelor or Master degree in Computer Science, Computer Engineering or other relevant degree
Nice to have
Automotive data formats (SOME/IP, non-verbose DLTs, FIBEX, etc.)
Experience with Tableau, PowerBI or other Data Visualization tools
Dashboard systems (Kibana, Grafana, ...)
Databases (SQL / NoSQL
DynamoDB / Redshift / RDS)
Desired Candidate Profile
Bachelor or Master degree in Computer Science, Computer Engineering or other relevant degree
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- DevOps Engineer W/ AWS And Python
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Luxoft
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. br> br>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. br> br>The project is dedicated to the development of the tools for virtual testing of ADAS systems using data-driven development approach.
https://career.luxoft.com/jobs/regular-devops-engineer-w-aws-and-python-19045