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Senior Big Data Engineer


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Senior Big Data Engineer Full time

11/14/2018


Technical
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Job Description

  • builds large-scale data processing systems, is an expert in data warehousing solutions and should be able to work with the latest (NoSQL) database technologies.
  • Implement/Optimize ETLs to: Capture, cleanse, and augment data from different sources.
  • Design and implement a data hub/store to store all the cleansed and organized data.
  • Continuous maintenance of data integrity and consistency of the data store, such as DWH.
  • Implement and execute data archiving strategy.
  • Provide a fast/secure way to access data hub to cater for other analytics purposes.

Qualifications

  • Knows how to capture, process, store and access data (ETL), aware of ETL tools such as Talend, Data stage, etc…
  • 3+ years of similar experience
  • Familiar with DWH, Apache Hadoop, Apache Spark, NoSQL Databases, Machine Learning and Data Mining, Statistical and Quantitative Analysis, SQL, Data Visualization.
  • Scripting languages and General purpose Programming Languages, of both traditional and big data.
  • Data integration and cleansing.
  • Ability to interpret client briefs and prescribe the most appropriate analytical approach to answer the business requirements.
  • Experience with BI reporting tools, such as Looker, Qlik, IBM Cognos or Power BI is preferable.
  • Problem solving.

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