该职位来源于猎聘 NCS: Advance our communities, bring people together to make the extraordinary happen 恩士迅:智应万变 慧通未来 我们是来自新加坡的知名国际IT人才和解决方案服务商,我们拥有强大的业务网络、覆盖亚大地区的20余个城市,全年同时进行交付的项目超过 4,000个。 最近,恩士迅于2022年在中新广州知识城设立了新的大湾区创新科技交付中心(GBnDC)。 作为中国新加坡重点共建起步项目,我们正蓬勃发展,我们需要更多志同道合的伙伴一起加入,共同建设NCS 加入我们, 您将获得: 1.更多高端国际项目和团队的职业发展机会,包括IT技能和行业背景; 2.开放多元的工作氛围和优秀舒适的工作环境; 3.更有竞争力的薪资待遇和福利体系; And more... 工作时间:朝九晚六,上下班可弹性,人性化,不加班 面试流程:须用电脑,线上视频面试, 项目长期稳定,核心项目,技术提升快 外企项目,英语口语要求流利 可弹性上下班、带薪年假、五险一金、节日礼物、团队聚餐、领导好、发展空间大、公司规模大等优点。 DATA engineer 岗位要求: 1、3年及以上相关工作经验,本科及以上学历,英文流利,可以全英面试;
2、熟悉spark、Scala或者Pyspark; 办公环境高大上,茶水间配备咖啡机、茶包、自动贩卖机等等,休息区 配备健身器材 园区可免费停车,附近租房环境优美,小区租房价格实惠~~~ 薪资和福利: 1.社保公积金齐全 2.年度体检 3.带薪年假10天起,带薪病假14天起 4.每月住宿交通补贴 ü Programming: Data (Python, Spark, PySpark, Hive, Scala):Qualified ü Experience managing over 200K data records daily or equivalent ü Responsibilities
- Deliver solutions for online data extraction, data integration and data management.
- Develop and maintain high-performance, scalable utilities to support technology research and data transformation.
- Optimize data processing protocols and systems for better efficiency and maintainability.
- Contribute to the establishment and maintenance of distributed computing platform and big data services
- Writing of documents that clearly explain how algorithms should be implemented,verified and validated. ü Requirements
- Experience in a field encompassing Distributed computing, Data Analytics, DataTransformation
- DataEngineer with hands-on experience in Hadoop, SQL, Hive/Impala, Spark (Scala/Python/ Java), Parquet/Avro/HBase and HDFS.
- Analyse and address issues relating to capacity constraints and performance related items on SQL and Spark ETL processing.
- Strong in Linux/Unix Commands and Scripting (Shell Scripting and Python/Scala).
- Experiences in automation of batches with Shell scripts + REST APIs (triggeringand result parsing).
- Experience in using AWS products like S3 Storage.
- Strong problem-solving skills with the can-do attitude to be able to come up with solutions for various problems on a wide technical area.
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations