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这是一个创建于 1956 天前的主题，其中的信息可能已经有所发展或是发生改变。
工作地点：地铁四六号线浦电路站
JD 略长，我来说一下人话。。。
主要工作内容是：服务于做风控模型的 data scientist 做一些 data 相关的 engineering support
要求: 前端会点 JS，熟悉脚本语言(shell, python) ，了解大数据技术 pig, hive, spark，有自动化管理经验者佳
简历请发至: [email protected]
Job Description Summary
PayPal is the faster, safer way to pay and get paid online. The service allows people to send money without sharing financial information, with the flexibility to pay using their account balances, bank accounts, credit cards or promotional financing. With 165 million active accounts in 203 markets and 26 currencies around the world, PayPal enables global ecommerce. More information about the company can be found at PayPal.com.
Responsibilities
• Design, automate and integrate data simulation applications or workflows (mostly on Hadoop cluster) into our unified data provisioning platform for risk model training or research purpose.
• Develop and add new features to our internal auditing product (analytical self-service verification tool for verifying models and variables) on top of SPARK, as well as developing data check components to guarantee the data quality after data is generated.
• Maintain simulation service to support our modelers, data scientists and analysts on trouble shooting, engineering best practice and disaster recovery.
Qualifications
• Bachelor degree or equivalent in engineering related background, with at least 4 years ’ experience (Master for at least 2 year) in data processing area.
• Experience in big data process with Apache Spark, Hadoop MapReduce, and Pig etc.
• Master at least one of the programming languages (Python, Java, Scala, Perl etc.)
• Experience in working under Unix/Linux, solid Shell scripting expertise.
• Experience with SQL for data manipulation, especially large RDBMS (prefer Teradata)
• Knowledge of statistics, data mining or predictive modeling is plus
• Experience in job scheduler or workflow manager (e.g. UC4, Airflow) is plus
• Good English communication in oral and writing
• Strong service mindset, willing to work as DevOps
• Strong problem-solving skills
• Strong business sense and analytical ability
• Quick-learner
• Good team player
JD 略长，我来说一下人话。。。
主要工作内容是：服务于做风控模型的 data scientist 做一些 data 相关的 engineering support
要求: 前端会点 JS，熟悉脚本语言(shell, python) ，了解大数据技术 pig, hive, spark，有自动化管理经验者佳
简历请发至: [email protected]
Job Description Summary
PayPal is the faster, safer way to pay and get paid online. The service allows people to send money without sharing financial information, with the flexibility to pay using their account balances, bank accounts, credit cards or promotional financing. With 165 million active accounts in 203 markets and 26 currencies around the world, PayPal enables global ecommerce. More information about the company can be found at PayPal.com.
Responsibilities
• Design, automate and integrate data simulation applications or workflows (mostly on Hadoop cluster) into our unified data provisioning platform for risk model training or research purpose.
• Develop and add new features to our internal auditing product (analytical self-service verification tool for verifying models and variables) on top of SPARK, as well as developing data check components to guarantee the data quality after data is generated.
• Maintain simulation service to support our modelers, data scientists and analysts on trouble shooting, engineering best practice and disaster recovery.
Qualifications
• Bachelor degree or equivalent in engineering related background, with at least 4 years ’ experience (Master for at least 2 year) in data processing area.
• Experience in big data process with Apache Spark, Hadoop MapReduce, and Pig etc.
• Master at least one of the programming languages (Python, Java, Scala, Perl etc.)
• Experience in working under Unix/Linux, solid Shell scripting expertise.
• Experience with SQL for data manipulation, especially large RDBMS (prefer Teradata)
• Knowledge of statistics, data mining or predictive modeling is plus
• Experience in job scheduler or workflow manager (e.g. UC4, Airflow) is plus
• Good English communication in oral and writing
• Strong service mindset, willing to work as DevOps
• Strong problem-solving skills
• Strong business sense and analytical ability
• Quick-learner
• Good team player
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