Data Lake Implementation Engineer – 35591

By | 2018-06-14T14:01:45+00:00 June 5th, 2018|

Data Lake Implementation Engineer – Dallas, TX

Data warehousing and Data Lake Experience

  • Expertise data models, database design development, data mining and segmentation techniques
  • Hands on experience in working on Projects that trace Data lineage
  • Demonstrated experience in handling large data sets and relational databases
  • Good Understanding of metadata standards and Canonical Data models
  • Hands-on experience with end-end Data & Analytics applications involving structured and un-structured data on Hadoop based platforms, such as Cloudera
  • Hand-on experience in analyzing and creating Data Lake solutions
  • Working knowledge of ETL tools
  • Estimation techniques for Data warehousing and Data Lake
  • Python, SQL
  • Experience with common data science toolkits, such as R, MatLab, etc. Excellence in at least one of these is highly desirable
  • Develop and implement databases, data lakes, data analytics and other strategies that optimize statistical efficiency and quality
  • Identify, analyze, and interpret trends or patterns in complex data sets including structured and unstructured data
  • Managing data sources, security, and metadata
  • Enhancing data collection procedures to include information that is relevant for building predictive analytic systems
  • Creating automated anomaly detection systems and constant tracking of its performance


Job ID: 35591

Tagged as: data architect

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