Data Researcher/ Analyst - 趨勢科技股份有限公司｜Meet.jobs

 [Job Content] 

• Design, implement, and enrich data processing pipeline that collect and process massive volume of data, to enhance Trend Micro solutions/services, protect our customers, and prepare data environment for data insight on business.
• Investigate and resolve performance and stability issues in data processing systems and advise necessary infrastructure changes
• Select and integrate data tools and frameworks required to provide requested capabilities
• By hacking big data to explore hundreds of real data collected from world-wide continuously, to get insight and discover new emergency threats.
• Work closely with client application engineering teams, Data Analysts, marketing and business operation team for archiving business objectives.

 

[Related Team/Project/Product]
• Core Tech – SPN team (Smart Protection Network)
• Consumer – WSE (Web Service Engineering) Backend Team
• NTDTG – IoT Reputation Service

[Job Skills]

Desired
1. Proficient understanding of distributed computing principles
2. Proficient in C++, Java, and/or Python. Have experience on developing data analysis or web service projects.
3. 2+ years Unix-liked (Linux or FreeBSD) system administration and programming experience, able to automate tasks with (shell) scripts.
4. Strong knowledge of server-side programming languages e.g. Python, Perl, Node.js, Go.
5. Familiar with relational database and NoSQL database e.g. MySQL, Hadoop/HBase, MongoDB, Redis.

Preferred
1. Data mining, machine learning, or statistics related knowledge. Yes, we've got BIG data for you.
2. Distributed computing knowledge (e.g. distributed filesystem, BigTable and MapReduce framework). We use and develop on Hadoop, A LOT.
3. Threat security knowledge, including virus, malware, vulnerability, and web threat.
4. Experience in huge data processing or data mining associated fields e.g. Text Analytics, NLP and Machine Learning algorithms.
5. Experience in open source tools on Storage (Cassandra, Hbase, HDFS), Processing (Pig, Hive, Spark, Flink, Presto, Akka), Operation & Resource Management (Mesos, Yarn, Docker, Kubernetes), and Visualization (D3.js) 
6. Experience with the AWS ecosystem tools and system level DevOps tools.