- 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 software-defined vehicles.
- Design and implement real-time data processing and analysis solutions
- Ensure low-latency data processing to meet the stringent requirements of distributed systems.
- Contribute significantly to the design and development of microservices architecture in the context of Software Defined Vehicles.
- Implement and enhance event-driven systems to facilitate seamless communication between various SDV components.
- In-depth knowledge of data processing tools relevant to SDV, including but not limited to Apache Flink, Apache Pulsar, Apache 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.
- Implement efficient data streaming solutions specific to requirements
- Utilize messaging systems to ensure reliable and asynchronous communication between various components.
- Optimize systems for low-latency data processing, considering the critical nature of SDV operations.
- ○ Continuously assess and enhance throughput to improve the overall efficiency.
- ○ Manage and optimize NoSQL databases, with expertise in Cassandra, Scylla, MongoDB, and Apache Druid.
- ○ Implement and maintain time-series databases specifically designed for analytics, focusing on high-frequency, real-time data.
- Golang, JAVA (coding), python (for quick testing)
- Proven expertise in SDV-specific data processing tools.
- Strong understanding of SDV data streaming, messaging, and event-driven architectures.
- Ability to make informed decisions on the selection of data processing tools tailored for SDV applications.
- Proven ability to collaborate effectively with cross-functional teams within the SDV industry.
- Excellent communication skills and a collaborative mindset.
- Strong problem-solving skills with the ability to troubleshoot and optimize complex backend systems in the context of SDV.
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Senior Data Engineer - Pune, India - Geminus Tech
Description
Responsibilities:
As a Senior Backend Developer, with 8 to 15 years of experience, you will be a key contributor to our cutting-edge technology team. You will focus on developing robust and scalable backend systems tailored for the unique challenges of SDV. Your responsibilities will include handling high volumes of continuous data, implementing real-time data processing and analysis, and contributing to the microservices and event-driven architecture essential for the evolution of SDV.
Key Responsibilities:
High-Volume Data Processing for SDV:
Real-Time Data Processing and Analysis for SDV:
Microservices and Event-Driven Architecture for SDV:
Expertise in SDV Data Processing Tools (Preferred Skills):
Data Streaming and Messaging for SDV:
Latency and Throughput Optimization for SDV:
NoSQL Database Management:
Time-Series Database Analytics:
Programming Languages:
Qualifications:
Experience: 8-15 years of hands-on experience in backend development, with a focus on high-volume data processing, real-time analytics, and expertise in the SDV industry.
Technical Proficiency in SDV:
Decision-Making Skills:
Collaboration:
Problem-Solving:
If you are passionate about shaping the future of the Software Defined Vehicle industry through innovative backend solutions, we invite you to apply. Join us in driving the evolution of SDV technology and contribute to the next generation of smart and connected vehicles.