Data Engineer/Cloud Architect/Google Cloud Platform Architect/AWS Architect(Urgent Direct hire Requirement!!!)

Tableau, Power BI, AWS, GCP, Google Cloud Platform, Analytics
Full Time
Depends on Experience
Travel not required

Job Description

Job Description:

  • Design, build and implement complex business analytics solutions in the cloud using modern BI platforms/products (Looker, Tableau, Power BI, Google Cloud Platform Data Studio, AWS Quicksight). 
  • Understanding of cloud data platforms (Google Cloud Platform, AWS or Azure) - databases, data marts, datahubs, data warehouses and data lakes.
  • Ability to consult & build end to end analytics solutions using data curation,  data governance, data management, semantic layer, reports & dashboards. 
  • Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements.
  • Use an analytical, data-driven approach to drive a deep understanding of fast changing business priorities. 
  • Design and build a curated BI layer (data prep) with best practices, standards & guidelines.
  • Build dashboards, reports, stories, search or semantic frameworks with rich visualization & storytelling capabilities. 
  • Develop and execute automation frameworks for simplifying day to day analytics needs for business applications (actionable insights).
  • Build framework/approach on establishing modern BI platforms for enterprise scale. 
  • Build CI/CD pipelines/process for code automation/deployments.


  • B.A. /B.S. Degree is required 
  • Google Cloud Data Engineer/Looker  Certification preferred
  • 3+ years of relevant experience in major cloud BI platforms (Power BI, Looker or Tableau). 
  • 5+ years experience building modern data/analytics solutions. 
  • Experience and / or exposure to one or more of the following cloud data platform - BigQuery, Snowflake, Synapse
  • Experience configuring big data solutions in a cloud environment (AWS, Azure or Google Cloud Platform).
  • Experience building modern BI solutions using self-service & cognitive capabilities. 
  • Data visualization/storytelling experience to build analytics solutions based on requirements. 
  • Ability to work and collaborate with business partners/users on requirements and demos. 
  • Ability to build enterprise BI solutions with a solid foundation to scale for ML/AI use cases (Descriptive to Predictive). 
  • Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or a related field.
  • Strong understanding of cloud technology (especially Google Cloud Platform and AWS) with a broad understanding of infrastructure and Google Cloud Platform and AWS Ecosystem technologies
  • Understanding and some experience with Professional Services and Consulting engagements
Dice Id : 10410924
Position Id : 7242588
Originally Posted : 1 month ago
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