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Cloud Data Engineer

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Date: Jun 24, 2021

Location: Guadalajara, JAL, MX

Company: NTT DATA Services

NTT DATA, Inc. currently seeks a Data Engineer to join our team in México.


Location: Remote on Mexico



  • Well Versed on SQL
  • Experience using at least 1 ETL tool.
  • Advanced English


Desirable to have:

  • Well versed on Python and/or PL Sequel
  • Experience doing at least 1 migration from On Premise Databases to Cloud environments


We Offer: 

  • Competitive salary
  • Grocery Tickets - 12% of base salary
  • Restaurant Tickets - 800 pesos per month
  • 30 days of christmas bonus
  • 10 days of vacations
  • 90% Vacation bonus
  • 5 personal days per year
  • Medical insurance (You and your family)
  • Life insurance
  • Dental Insurance
  • Discounts with selected Optics
  • Opportunity to grow in the company



  • Develop, construct, test and maintain ETL/ELT architectures
  • Work with Architects to ensure development work aligns with business requirements
  • Data acquisition and ingestion for ETL data pipelines.
  • Utilize ETL tools e.g. Informatica or DataStage or Fivetran or, dbt or, Matallion to build and deploy data ingestion and transformation pipelines. One or more ETL tools will be used for the purpose of constructing ETL pipelines in the cloud. 
  • Use enterprise orchestration tools e.g. CA7 or Control M etc. for scheduling ETL jobs.
  • Migrate ETL to ELT paradigm for data pipelines.
  • Translate ETL from Source to Target documentation and from one ETL tool to another.
  • Will be responsible for conversion and/or development of ETL packages
  • Identify ways to improve data reliability, efficiency and quality
  • Deliver updates to stakeholders based on analytics
  • Ensure accuracy & integrity of data & applications through analysis, coding, writing clear documentation & problem resolution
  • Analyze & translate functional specifications & change requests into technical specifications
  • Develop, test & implement program logic
  • Translate business needs into end user applications

Job Segment: Cloud, Database, SQL, Technology