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Data Engineer

Job Description

  • Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments  
  • Implementing  data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data  
  • Experience with multiple full life-cycle data warehouse implementations  
  • Understanding of data architectures required to support data integration processing  
  • Experience with data modeling technologies such as ER/Studio, ER/Win or similar  
  • Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs  
  • Demonstrated ability to quickly learn, adopt and apply new technologies  
  • Data profiling and creation of source to target mappings  
  • Ability to provision and configure Azure data service resources 


  • Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory  
  • Experience creating strategies to migrate customers from on-premise environments to Azure   
  • Power BI and semantic modeling  
  • AWS Glue & Azure Data Factory
  • AWS S3 & Azure Blob
  • AWS Athena & Azure Databricks
  • AWS Redshift & Azure Synapse
  • AWS ECS & Azure AKS

  • Detailed Required Skills:
  • Python & SQL Scripting
  • SQL, PySpark
  • General Cloud Architecture competency skillset  - Capable of taking requirements and is build out data pipelines
  • API Knowledge is required, but preference given to candidates who can create APIs
  • About The IT Outsourcing Company

    The company offers IT operations management services to offshore clients.

    Data Engineer

    IT Outsourcing Company


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    Position Level


    Job Level

    Experienced Hire

    Job Type

    Full Time

    Hiring Until