Senior Big Data Engineer

2 weeks ago


Gurugram, India BYD Full time

【Working Location】

Gurgaon, India

【Working language】

English & Chinese

Knowing Chinese language would be preferred


【Job Responsibilities】

  1. 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.
  2. l Manage the development of big data on Google Cloud, including vehicle-cloud links, platform tools, and data application development.
  3. l Handle ETL development on Google Cloud, ensuring the collection, cleansing, and transformation of large-scale data to maintain data quality.
  4. l Assist in extracting and analyzing data from overseas vehicles for research and development purposes.
  5. 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】

  1. 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.
  2. l Experience with RPC-related frameworks such as Dubbo, Spring Cloud, etc. Ability to operate and troubleshoot platform services independently.
  3. 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.
  4. l Independent experience in data analysis using Hive SQL, Spark SQL with massive datasets.
  5. 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.
  6. l Ability to communicate effectively in both Chinese and English for daily discussions and smooth communication.
  7. l Priority given to candidates with relevant experience with Google Cloud.



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