Sr. Cloud Engineer

Mohawk Carpet Foundation Inc

Georgia, United States
On-site
Azure data factory
Azure databricks
Azure data lake storage
The Sr Cloud Data Engineer is a high performing contributor that is responsible for designing, deploying, and maintaining Data & Analytics cloud and on-premises infrastructure applications and services

Job Summary

  • The Sr Cloud Data Engineer is a high performing contributor that is responsible for designing, deploying, and maintaining Data & Analytics cloud and on-premises infrastructure applications and services.
  • Implements cloud Data & Analytics solutions using various data integration and reporting tools (e.g., Azure Data Factory, Azure Databricks, Azure data lake storage, DBT(data build tools), Spark Engine and Power BI) integrated with GitHub and azure devops workflows.
  • Monitors, troubleshoots, and optimizes cloud Data and Analytics applications for performance, cost, and security.

Matching Summary

The Sr Cloud Data Engineer is a high performing contributor that is responsible for designing, deploying, and maintaining Data & Analytics cloud and on-premises infrastructure applications and services.

Skills & Requirements

Must-have

  • Azure Data Factory
  • Azure Databricks
  • Azure data lake storage
  • DBT
  • GitHub
  • Azure DevOps workflows
  • Enterprise Datawarehouse/BI Solution on Cloud
  • Data extraction from multiple sources
  • Data Lakehouse solution
  • CI/CD data pipelines
  • real time data streaming
  • CDC architecture
  • data governance tools
  • Power BI
  • DevOps principles
  • agile methodologies

Nice-to-have

  • SAP ERP systems
  • AWS or GCP
  • Tableau, Power BI and Looker
  • Microsoft Suite of products
  • international teams

Key Requirements

  • Bachelor’s degree in a related field or equivalent education and/or experience
  • 4-6 years relevant experience
  • Proven experience developing Enterprise Datawarehouse/BI Solution on Cloud platform
  • Proven experience in data extraction from multiple sources and building data Lakehouse solution
  • Proven experience in working with repositories like Azure DevOps, Git Hub or Bitbucket
  • Proven experience in building data pipelines using Azure Data factory or equivalent technology
  • Proven experience in building real time data streaming and CDC architecture
  • Proven experience in implementing data governance tools like Databricks unity catalog and Azure Purview
  • Proven experience working with analytics visualization tools

Work Rights

Not specified

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