Data Engineer

Showtime Networks Inc.

(New York, New York)
Full Time
Job Posting Details
About Showtime Networks Inc.

Showtime Networks, Inc. is the corporate division of media conglomerate CBS Corporation that oversees the company's premium cable television channels, including its flagship service Showtime.

Responsibilities
  • Perform analysis to understand business problems and business data to provide guidance on appropriate Business Intelligence and Data Warehouse complete reporting solutions that can provide structured and ad-hoc access to large datasets.
  • Implementation of Business Intelligence/Data Warehouse projects in support of business needs. This includes design, development, test and production support.
  • Develop processes to scrub and ingest large, distinct data sets from multiple sources into a unified data warehouse.
  • Employ data mining, segmentation, and other analytical techniques to capture important trends in the customer base.
  • Model data and metadata for ad hoc and pre-built reporting.
  • Separate the data signal from the noise.
Ideal Candidate
  • You have 3+ years of relevant experience in a data science or comparable data engineering role.
  • You have 3+ years of experience with relational database design & implementation.
  • You have experience with enterprise analytics tools (e.g., Adobe, Google, WebTrends)
  • You have experience with data warehousing and business intelligence tools, techniques and technology.
  • You have experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Mongo, Oracle, etc.) in a business environment with large-scale, complex data sets.
  • You have the ability to dive-deep on data analysis or technical issues to come up with effective solutions.
Compensation and Working Conditions

Working Conditions

Showtime Anytime

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New York, New York
Skills Desired
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  • Adobe Photoshop
  • Business Intelligence
  • Data Analysis
  • Data Mining
  • Data Science
  • Google
  • Oracle
  • Relational Databases
  • SQL
  • Data Engineering
  • Data Warehousing
  • MongoDB
  • Data Solutions
  • ETL
  • Webtrends

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