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Job ID : 35248

Location : Charlotte, NC

Company Name : Emblue

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $31000 - $44000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Data Modeling, Programming skills, Data Warehousing.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Employ batch and streaming data processing methodologies, leveraging Kafka and Azure Function technologies.
  • Design and manage databases on Azure including but not limited to Azure SQL Database, Postgres, MongoDB, MySQL, and MariaDB.
  • Create end-to-end data pipelines in databricks and ADF, integrating data from source systems to target data repositories like Snowflake and Azure Databases.
  • Contribute to the evolution and optimization of our data model.
  • Collaborate with the data team to design and implement data models that serve business requirements, ensuring data integrity and availability.
  • Leverage Azure Functions and App Service for serverless data operations and tasks.
  • Utilize Azure API Management (APIM) to facilitate data interaction between various services and applications.
  • Utilize DevOps principles for deployment and automation using Azure DevOps or Bitbucket.
  • Create and maintain CI/CD pipelines using BitBucket or Azure DevOps for automated deployment and data transformations.
  • Ensure data quality, consistency, and security throughout the data pipelines.
  • Implement monitoring, logging, and alerting tools such as New Relic to ensure the robustness and performance of data operations.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Minimum of 5 years of experience working with Azure Cloud services.
  • In-depth experience with Azure Data Lake Storage Azure Data Factory and ETL/ELT processes.
  • Extensive experience with Azure Cloud services including Azure Databricks, Azure Data Factory , Azure Synapse, Azure Data Lake Storage , Azure Analysis Services, HDInsight, Power BI, SSIS, and Event Hub.
  • Familiarity with real-time data processing and streaming technologies such as Kafka.
  • Strong experience with Azure Functions, Azure App Service, and Azure API Management.

Key Skills:

  • Data Modeling.
  • Programming skills. 
  • Data Warehousing.
  • ETL. 
  • Cloud Computing. 
  • Azure Services. 
  • Data Analytics and Visualization tools.

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