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Data Engineer Loc: Waukegan, IL

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, IL
2018-11-27 04:34:42
Job Type: Full Time only

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EDO Data Engineer Loc: Waukegan, IL
For large enterprise datasets, the data engineer is responsible for

  • curating content to support key business initiatives, working primarily with data scientist and data analysts across functional disciplines.
  • Participants in the acquisition, cataloging, and harmonization of information aligned with the needs of business stakeholders.
  • Supports data consumers in understanding information context, generating fit for purpose datasets, and effectively utilizing advance analytic tools.

Key Responsibilities Include

  • â?¢ Planning, building and running enterprise class information management solutions across a variety of technologies (e.g. big data, master data, data profiling, batch processing, and data indexing technologies,
  • â?¢ Establishing advance search solutions that include synonym, inference and faceted searching
  • â?¢ Ensuring appropriate security and compliance policies are followed for information access and dissemination
  • â?¢ Defining and applying information quality and consistency business rules throughout the data processing lifecycle
  • â?¢ Collaborating with information providers to ensure quality data updates are processed in a timely fashion
  • â?¢ Enforcing and expanding use of client Common Data Model and industry standard information descriptions (ontologies, taxonomies, vocabularies, lexicons, dictionaries, thesaurasus, glossaries etcâ?¦)
  • â?¢ Managing the information portal and its customer-facing resources (data catalog, data portal, etcâ?¦)

Basic

  • â?¢ Bachelorâ??s Degree with 10+ years of related work experience and a strong understanding of specified functional area.
  • Degree in Computer Science or related discipline preferred.

Advanced:

  • â?¢ At least 10 years experience in a several data processing roles such as database developer/administrator, ETL developer, data analyst, BI analytics developer, and/or solution developer of contextual search applications
  • â?¢ Experience with Informatica tools (PowerCenter, Big Data Management, Master Data Management), Cloudera CDH and ecosystem tools (SOLR, Spark, Impala, Hive, Hue, etcâ?¦), MarkLogic, SAS Analytics, python, R and Amazon Web Services preferred.

Key Skills: