Shanghai, China
16 days ago
SIBC - Sr. Data Engineer

You will play a crucial role in shaping the future of Data Analytics and actively contribute to the success of the digital transformation at ZEISS. In this challenging function, you will help our business units to identify and develop strategic data-driven use case opportunities.

Experience /经验

At least 5 years of experience in the shaping and development of data analytics platformsStrong experience in working with at least one of the Cloud Service Providers in China (e.g. Alibaba Cloud, Huawei Cloud, Tencent Cloud)

Other skills /其他技能

Strong experience in working with at least one of the Cloud Service Providers in China (e.g. Alibaba Cloud, Huawei Cloud, Tencent Cloud)Good knowledge in Microsoft Azure, especially in the 21Vianet (Azure China) and the integration with global Azure templates as well as other Cloud solutionsDemonstrated practice in SQL, Linux-Shell and PythonKnow-how in relevant ETL (preferred ADF, SSIS, KNIME ) and Visualization Tools (preferred Power BI platfroms)Preferred knowledge in the set-up and administration of Hadoop, Spark platform, Azure Datalake & Databricks and other related architecture components, working knowledge of tools like Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, MapReduce, Kylin, Superset etc.Knowledge in Data Warehousing (SAP HANA / BW, Azure Synapse) is aslo highly preferredHands on experience on data science practises, and familiar with Pytorch, TensorFlow etc. is aslo highly preferredSkills in Infrastructure Automation e.g. Terraform, ARM etc. are beneficialThe ability to guide other Data Engineers (internal and external) and to debate and align with Architects and Security OfficersAn interest in working with agile and interdisciplinary development teams, with strong communication skills in English in order to be able to effectively explain the relevant concepts and technologiesFluent in Chinese and English

            

Job Description


Main Tasks / 主要任务

You are part of our Enterprise Data Platform team and collaborate with Architects, Data Scientists, Software Developers and Product Owners to drive digital products.Together with your colleagues, you will be responsible for the connection, transformation and blending of data and you will create harmonized data models and communicate them using suitable visualizations and in addition derive templates and reusable artefacts from them.Furthermore, you will utilize on premise tools as well as Cloud based software and help to operate and support the productive environments (DevOps).

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