Senior Data Engineer - SDV Software Defined Vehicle

• HighVolume Data Processing for SDV:
• Develop and optimize backend systems to efficiently handle high volumes of continuous data.
• Implement strategies for secure and reliable data storage retrieval and processing in the context of softwaredefined vehicles.
• RealTime Data Processing and Analysis for SDV:
• Design and implement realtime data processing and analysis solutions
• Ensure lowlatency data processing to meet the stringent requirements of distributed systems.
• Microservices and EventDriven Architecture for SDV:
• Contribute significantly to the design and development of microservices architecture in the context of Software Defined Vehicles.
• Implement and enhance eventdriven systems to facilitate seamless communication between various SDV components.
• Expertise in SDV Data Processing Tools (Preferred Skills):
• Indepth knowledge of data processing tools relevant to SDV including but not limited to Apache Flink Apache Pulsar Kafka and Apache Spark.
• Proven experience in making informed decisions on tool selection based on the unique requirements of diverse data formats and varying data scales.
• Data Streaming and Messaging for SDV:
• Implement efficient data streaming solutions specific to requirements
• Utilize messaging systems to ensure reliable and asynchronous communication between various components.
• Latency and Throughput Optimization for SDV:
• Optimize systems for lowlatency data processing considering the critical nature of SDV operations.
• Continuously assess and enhance throughput to improve the overall efficiency.
• NoSQL Database Management:
• Manage and optimize NoSQL databases with expertise in Cassandra Scylla MongoDB and Apache Druid.
• TimeSeries Database Analytics:
• Implement and maintain timeseries databases specifically designed for analytics focusing on highfrequency realtime data.
• Programming Languages: Golang JAVA (coding) python (for quick testing)

• Experience: 815 years of handson experience in backend development with a focus on highvolume data processing realtime analytics and expertise in the SDV industry.
• Technical Proficiency in SDV:
• Proven expertise in SDVspecific data processing tools.
• Strong understanding of SDV data streaming messaging and eventdriven architectures.
• DecisionMaking Skills:
• Ability to make informed decisions on the selection of data processing tools tailored for SDV applications.
• Collaboration:
• Proven ability to collaborate effectively with crossfunctional teams within the SDV industry.
• Excellent communication skills and a collaborative mindset.
• ProblemSolving:
• Strong problemsolving skills with the ability to troubleshoot and optimize complex backend systems in the context of SDV.

python,nosql database management,event-driven systems,data processing,microservices architecture,real-time data,messaging systems,backend development,golang,data streaming solutions,go (golang),real-time analytics,sdv data processing tools,java,time-series database analytics