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Solution Architect
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Job Title: Solution Architect - Big Data Engineering
Job Description:We are seeking a highly skilled Solution Architect to lead the design and implementation of big data engineering solutions. The ideal candidate will have a strong background in big data technologies, including HDFS, YARN, Flink, Spark, Presto, Hive, HBase, and StarRocks.
The successful candidate will be responsible for overseeing the operation and maintenance of our overseas big data platforms, ensuring platform and cluster stability. Additionally, they will assist users in resolving issues related to big data platform usage, including platform operations, component errors, and performance optimization.
The role also involves optimizing existing service workflows, standards, and pain points, and proposing actionable solutions. Furthermore, the candidate will develop front-end/back-end operational efficiency tools, including capacity management platforms, DevOps frameworks, coverage analytics, automation systems, and health monitoring.
To succeed in this position, you should have proficient knowledge of ≥2 big data technologies, skilled in ≥1 programming language (Java/Python/Golang, etc.), and expertise in Linux/Unix OS, system performance tuning, and failure resolution.
Required Skills & Qualifications:- Proficient in ≥2 big data technologies: HDFS, YARN, Flink, Spark, Presto, Hive, HBase, StarRocks.
- Skilled in ≥1 programming language (Java/Python/Golang, etc.).
- Expertise in Linux/Unix OS, system performance tuning, and failure resolution.
- ≥3 years of big data operation/development experience, with strong troubleshooting skills, technical sensitivity, and risk identification capabilities.
As an equal opportunity employer, we offer a dynamic work environment where every employee feels supported and inspired to achieve individual and common goals. We foster innovation and diversity, allowing us to better serve our users and the community.
Others:This is a full-time position requiring mid-senior level skills. If you are passionate about big data engineering and enjoy solving complex problems, we encourage you to apply.
