Cedar Gate Services

Data Engineer

Cedar Gate Services

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 follow our 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 follow our FB page at https://www.facebook.com/CGTNepal

Data Engineer

Views: 2021 | This job is expired 1 year, 8 months ago

Basic Job Information

Job Category : IT & Telecommunication
Job Level : Mid Level
No. of Vacancy/s : [ 3 ]
Employment Type : Full Time
Job Location : Kathmandu, Nepal
Offered Salary : Negotiable
Apply Before(Deadline) : Jul. 30, 2022 23:55 (1 year, 8 months ago)

Job Specification

Education Level : Under Graduate (Bachelor)
Experience Required : More than or equal to 1 year
Professional Skill Required : Communication Problem Solving Oracle Interpersonal Skills SQL
Other Specification
  • Bachelor’s Degree in Computer Engineering, Computer Science, or a related field (or equivalent) 
  • 1+ years of relevant work experience 
  • Experience of SQL databases like Redshift, MSSQL, MySQL or Oracle 
  • Knowledge of well-known statistical analysis and modeling

Job Description

Cedar Gate Services is looking for a few Data Engineers to join our Data Analytics team.

Job Summary:

Data Engineers will be responsible for analyzing data to support the implementation of the ETL process and will also be designing and implementing large-scale databases.

Responsibilities:

  • Interpret and analyze data using statistical techniques 
  • Clean, convert and aggregate data from several data sources 
  • Map fields into common schema 
  • Match member information across data sources 
  • Standardize vocabulary (ex: standardization of Relationship Codes), member demography and member months 
  • Follow organizational data process 
  • Assist, review, and train Associate Data Engineers 
  • Perform other duties as assigned by the reporting manager


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