技术类和非技术都有，主要是数据方向（数据分析、数据开发、数据运营）国内一线城市都有办公点，也可以远程办公。We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.岗位细化方向有很多，JD仅供参考，具体得看简历和面试综合评分。因为是小组直推，简历需要先发我初筛，评估通过之后可以安排面试。DESCRIPTION：Key job responsibilities1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations8. Enjoy working closely with your peers in a group of very smart and talented engineers.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with SQL- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasetsPREFERRED QUALIFICATIONS- Experience building large-scale, high-throughput, 24x7 data systems- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience providing technical leadership and mentoring other engineers for best practices on data engineeringJob DescriptionKey Responsibilities• Collaborate with the Finance department to execute month-end closing procedures• Identify, analyze, and resolve inventory discrepancies• Perform regular inventory reconciliations and maintain accurate inventory records• Communicate effectively with suppliers to resolve inventory issues• Assist team members with inventory-related issuesBasic Requirements• 0-3 years of experience in finance, planning, or business analysis• Experience in data analysis and report preparation, and proficiency in data management and analysis tools, including advanced Excel, SQL, Python, and other common data analysis skills.
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