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Senior Big Data Engineer
2 weeks ago
【Working Location】
Gurgaon, India
【Working language】
English & Chinese
Knowing Chinese language would be preferred
【Job Responsibilities】
- l Responsible for the architecture design of Google Cloud's big data and the application of new technologies on the platform, from both functional and non-functional perspectives. Participate in the design and implementation of architecture and products.
- l Manage the development of big data on Google Cloud, including vehicle-cloud links, platform tools, and data application development.
- l Handle ETL development on Google Cloud, ensuring the collection, cleansing, and transformation of large-scale data to maintain data quality.
- l Assist in extracting and analyzing data from overseas vehicles for research and development purposes.
- l Manage the daily operation, maintenance, inspection, and monitoring of Google Cloud's big data cluster services, servers, databases, and networks. Analyze and address faults as needed.
【Job Requirements】
- l Solid foundation in Java programming, familiarity with Spring, MyBatis, and experience with Spring Boot. Ability to independently operate and solve common issues with Spring services.
- l Experience with RPC-related frameworks such as Dubbo, Spring Cloud, etc. Ability to operate and troubleshoot platform services independently.
- l Experience in managing big data tasks using frameworks like Flink, Spark, etc. Ability to monitor the status of big data tasks, configure resources, and solve common problems.
- l Independent experience in data analysis using Hive SQL, Spark SQL with massive datasets.
- l Proficient in configuring parameters, monitoring the status, and solving common operational issues of commonly used components in the Hadoop ecosystem, such as Flink, Kafka, HBase, Hive, HDFS, Spark, and Yarn.
- l Ability to communicate effectively in both Chinese and English for daily discussions and smooth communication.
- l Priority given to candidates with relevant experience with Google Cloud.
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