Cedar Gate Services

Associate Data Engineer

Cedar Gate Services

Associate Data Engineer

Cedar Gate Services Pvt. Ltd, Nepal, provides software research & development, data analytics, IT infrastructure management and various support services for Cedar Gate Technologies, USA. We employ 600+ professionals in our Sanepa office. For more information, visit company website at https://cedargate.com/ and FB page at https://www.facebook.com/CGTNepal

Cedar Gate Services Pvt. Ltd, Nepal, provides software research & development, data analytics, IT infrastructure management and various support services for Cedar Gate Technologies, USA. We employ 600+ professionals in our Sanepa office. For more information, visit company website at https://cedargate.com/ and FB page at https://www.facebook.com/CGTNepal

Associate Data Engineer

Views: 2786 | This job is expired 3 weeks, 3 days ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Entry Level
No. of Vacancy/s : [ 1 ]
Employment Type : Full Time
Job Location : Lalitpur, Nepal
Offered Salary : Negotiable
Apply Before(Deadline) : Mar. 02, 2023 23:55 (3 weeks, 3 days ago)

Job Specification

Education Level : Bachelor
Experience Required : Not Required
Other Specification
  • Bachelor's Degree in computer engineering, Electronics and Communication Engineering, Computer Science, or a related field (or equivalent)
  • Proficiency in SQL databases and database querying languages
  • Sound concept of logical and arithmetic terminology

Job Description

Cedar Gate Services is looking for an Associate Data Engineer to join the Data analytics team responsible for ETL, analysis, and implementation of US Healthcare data for analytics applications.

Job Responsibilities

  • Interpret and analyze data using statistical techniques.
  • Conduct cleansing, conversion, and aggregation of data from several data sources, mapping of fields into a common schema, and matching of member information across data sources.
  • Standardization of vocabulary (e.g., standardization of Relationship Codes), member demography, and member months.
  • Follow data processes.


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