Data Architect/Engineer for Automotive - Bilingual/ID:006TL000004xdSr
どんな仕事か
■About the project: Software defined vehicles are the next step forward in the automotive industry which brings together various niche technology areas. It has the potential to fundamentally transform the automotive industry through improved comfort、 safety and new business models for automotive manufacturers. A robust and scalable cloud based data platform will enable collecting and analysing vehicle data on cloud to derive business insights、 improve vehicle software design and enable data sharing for new revenue streams. Data Architect will play an important role in architecting and creating robust and cost effective data platform that allows developers and analysts to interact and consume data for building AI-ML models and vehicle software. This role/position will be responsible for solution architecture、 design、 development、 integration、 validation and deployment of solution on cloud platform. ■Responsibilities: - Responsible to create a blueprint of cloud & data platform、 data flow architecture、 end to end solution including components communication、 workflows、 processes、 validations etc. - Translate business requirements into technical specifications、 including data streams、 integrations、 transformations、 data lake and data warehouses - Responsible to understand customer requirements and define policies to architect and design applications on cloud platform. - Review and analyse infrastructure & data sources、 design and implement effective database solutions and models to store and retrieve data. Ensue compliance to regulations. - Responsible to define the process for data management in cloud and automate data flows. Perform ETL、 data cleaning、 calculate & quantify business data、 validation、 dashboards creation. - Responsible to analyze data as per requirement、 summarize / report insights from their analysis. Have good understanding of AI and machine learning workflows and responsible to apply them on big data. Work with series、 text、 geospatial、 images data and identify patterns、 design & develop ML algorithms & predictions systems. - Coordinate cross-functional reviews for the resolution of technical issues - Meeting deadlines for deliverables to quality、 cost and time ■Potential future career path: Cloud native solution development for software defined vehicles is emerging as a new flexible solution for automotive manufacturers to define next generation vehicle architectures and provide enhanced life-time value to their customers. By collecting real-time data from sensors、 cameras and other sources、 vehicles can continuously send information to cloud for data analytics、 data science and AI/ML. Qualified individuals will have a strong aptitude to formulate strategies for cloud and data platform; devise creative solutions and implement rigorous prototypes for vehicle and cloud connectivity、 data transfer、 digitization and connected vehicle features to ensure secure and better customer experience of next generation autonomous & connected cars. ■Workling Environment: - Location: Kanagawa - Working style: Onsite (No remote option)
この仕事の魅力
■Minimum qualifications: - Good understanding in application of modern data architectures - Data Modeling、 Database Design、 Data Aggregation、 Data Lake、 Data Warehouse、 Data Lakehouse. Including Data Fabric and Data Mesh concepts. - In-depth understanding of cloud platforms - AWS、 AZURE、 GCP (including IaaS/PaaS/SaaS service models). Good knowledge of multi-cloud and hybrid-cloud platforms. - Expertise in designing and implementing projects on Big Data、 Machine Learning and data processing & visualization - Good understanding of data storage、 intregration with applications、 open file formats、 cataloging and data processing - Good experience in data management、 ETL pipeline design Languages: - Japanese: Business - English: Business ■Preferred qualifications: - Understanding of Snowflake、Tableau、 Power BI、 .NET、 Spring Boot、 ERC、 Dimensional、 Hive - Good understanding of SDLC、 Agile development methodology and testing procedures - Exposure to automotive Industry with know-how of Connected Cars、 IoT
必要なスキル・経験
■Minimum qualifications: - Good understanding in application of modern data architectures - Data Modeling、 Database Design、 Data Aggregation、 Data Lake、 Data Warehouse、 Data Lakehouse. Including Data Fabric and Data Mesh concepts. - In-depth understanding of cloud platforms - AWS、 AZURE、 GCP (including IaaS/PaaS/SaaS service models). Good knowledge of multi-cloud and hybrid-cloud platforms. - Expertise in designing and implementing projects on Big Data、 Machine Learning and data processing & visualization - Good understanding of data storage、 intregration with applications、 open file formats、 cataloging and data processing - Good experience in data management、 ETL pipeline design Languages: - Japanese: Business - English: Business ■Preferred qualifications: - Understanding of Snowflake、Tableau、 Power BI、 .NET、 Spring Boot、 ERC、 Dimensional、 Hive - Good understanding of SDLC、 Agile development methodology and testing procedures - Exposure to automotive Industry with know-how of Connected Cars、 IoT
選考プロセス
詳細はお問い合わせください。
| 想定年収 | 500 ~ 1,200 万円 年収は能力と経験により応相談 |
|---|---|
| ポジション | ITユニット |
| 勤務地 | 神奈川県 記載勤務地以外も勤務できる場合がございますので、お問い合わせください。 |
担当エージェント
