Cloud Data Engineer for Autonomous Driving (offline)

Azure Data Engineer supports Robotic Drive opportunities mainly for the following phases
• Technical solution implementation within Robotic Drive offering engineering
• Pre-sales activities; acting as Subject Matter Expert in this phase
• Responding to customer request for proposals with a competitive design

Responsibilities:
• Design Robotic Drive based solutions with focus on cloud (focus Azure) to effectively bring innovation and state-of-the-art methods and approaches into the development and testing of autonomous driving algorithms.
o Implementing data transformation processes in the Robotic Drive solution domain
o Support data driven cloud applications and projects in the area of data science
• Build and integrate Robotic Drive AI& storage solutions, toolkits and accelerators on Azure marketplace (high data volume ingests, distributed processing of native automotive formats, geo-distributed data lake & volume partitioning)
• Development, Virtualization, Automation, Monitoring, Auditing, Continuous Improvement) to enable seamless provisioning of services for end-to end autonomous driving storage, compute and AD development at scale based on cloud native services
o Productionize data ingest, secure and fully automated on large sensor data sets from R&D vehicles into geo-distributed data lake
o High performance and scalable geo-distributed data organization pattern/volume partitioning providing data to end users on multi-locations across regions
o Store, analyze and refine automotive data on hundreds of PB scale natively with distributed/parallel processing on sensor level (ROSbag, MDF4, ADTF)
• Workflow integration, toolkit and applications containerization
• Develop prototypes & proof-of-concept solutions in support of presales activities
Mandatory Skills:
• Significant experience in enterprise cloud solutions in Azure (or AWS)
• Knowledge of and experience with cloud based AI services
• Ideally relevant cloud provider certifications i.e. certified Azure Data Engineer
• Bachelor or Master degree required in information technology, computer science or similar.
• Minimum 3+ years of experience with Big Data Hadoop distributions and innovative technologies in Hadoop ecosystem (e.g. HDFS, Spark, Hive, HBase)
• 2+ years hands-on experience in Docker, Kubernetes, containerization
• Basic system administration, platform build and operations (Linux, Windows, Ubuntu, RedHat Openshift, MapR)
• 2+ years experience in Big Data programming (Java, Spark, Python)
• Experience with cloud native services best practices, principles and software products
• Working experience with high performance computing architectures and relevant software products
• Strong customer focus, assertiveness and precise method of operation
• Possesses an understanding of architectural dependencies of technologies in the customer's analytic environments
• Able to communicate and present internally and externally in a confident manner
• Highly motivated team player
Nice-to-Have Skills:
• Basic understanding and some hands-on experience of Hadoop and it's ecosystem products (Spark, Jupyter)
• At least con Know-how in automotive formats (ROSbag, ASAM MDF4, HDF5, ADTF)
• Conceptual, better hands-on software development experience.
• Experience with simulation technologies, ideally in the automotive domain
Languages:
English: Advanced/Fluent

About Luxoft

Luxoft DXC

Company website:
www.luxoft.com