Cloud Platform Engineer
Il y a 2 mois
CATL invites you to continue our legend of green energy. CATL is a World Fortune 300 Company, a global leader who provides premier EV battery and energy storage battery for the world. CATL’s EV battery consumption volume has ranked No.1 in the world for six consecutive years and global energy storage battery shipment has also ranked No.1 for two consecutive years.
Job Responsibilities:
1. Responsible for the operation of overseas big data platforms, formulate data access plans and programs, promote the implementation of data access programs, and realize data access of big data platforms;
2. Responsible for customer docking, daily customer operation, demand communication and demand analysis of commercial vehicles, passenger cars and energy storage in Europe;
3. Responsible for data management and data operation, coordinate internal and external resources, and form a normative docking process;
4. Study the mechanism of battery products, collect data characteristics, and analyze data of specific business problems based on technical indicators;
5. Responsible for the application and landing of the algorithm model, carry out data cleaning, prediction model establishment, training and optimization for the application scenario, and solve the problems of target recognition, classification, prediction, fault diagnosis and prediction in the scenario;
6. Responsible for daily operation and maintenance of big data platform, such as operation and maintenance and algorithm deployment.
Job requirements:
1.Master degree or above, major in computer,software engineering, data science, vehicle engineering, management science and engineering, artificial intelligence, mathematical statistics and other science and engineering;
2.① Familiar with commonly used machine learning and deep learning algorithms and models;
② Familiar with mainstream cloud platform products (AWS, Azure, etc.) and understand the cloud native architecture system;
③ Familiar with Linux system principle and shell programming.
3.① Have the understanding and mastery of Hadoop ecological technology stack, including but not limited to Spark, flink, storm, kafka, flume, HDFS, etc.;
② Familiar with distributed storage and database technologies, including but not limited to ClickHouse, Greenplum, Redis, MonogoDB, ElasticSearch, etc., and skilled in using common data warehouse architectures;
③Master Java, Python, R and other programming languages, and skillfully use Python for data analysis;
4. At least 2 years working experience in big data platform development or data analysis, experience in automobile industry, new energy or car networking industry is preferred;
5. English as the working language, familiar with French is preferred;
6. Strong communication and coordination skills, strong problem analysis and problem-solving skills, strong learning ability,business insight and data understanding ability, high sense of responsibility, and positive working attitude, cheerful personality, with certain pressure resistance.
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