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Job ID : 35117

Location : Charlotte, NC

Company Name : Twelve Labs

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 : Database tools,  Data transformation tools,  Data ingestion tools..

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

Job Description :


  • Develop and optimize storage solutions on Microsoft Azure, ensuring data availability, scalability, and reliability.
  • Automate data-related jobs, processes, and workflows to streamline data delivery.
  • Collaborate closely with cross-functional teams, including data scientists, analysts, and developers, to understand data requirements and support their data-related needs.
  • Design and maintain data models and architecture, enabling efficient data consumption by business applications and analytical tools.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Troubleshoot and promptly resolve data-related issues, performance bottlenecks, and system failures.
  • Research new data sources, third-party platforms, and data engineering best practices.
  • Stay current with the latest data engineering and cloud computing trends, particularly in the Azure ecosystem.
  • Assist Data Scientists with general analysis and dashboards, as needed.


  • 3-5 years of relevant Data Engineering, Software Engineering, and/or Analytics experience.
  • Proved experience with Azure cloud solutions, preferably through your work portfolio and Azure certifications.
  • Strong proficiency in Azure Data Factory, Azure Storage, and other relevant Azure services.
  • Extensive experience designing and implementing automated data pipelines, ETL processes, and data workflows.
  • Familiarity with data warehousing concepts, modeling, and integration techniques.
  • Expert in integrating cloud solutions with external API sources and knowledgeable in creating in-house API solutions that meet our needs.
  • Excellent problem-solving abilities and a track record of handling complex data engineering challenges.
  • Strong communication skills and the ability to collaborate effectively with multidisciplinary teams.

Key Skills:

  • Database tools. 
  • Data transformation tools. 
  • Data ingestion tools. 
  • Data mining tools. 
  • Data warehousing and ETL tools. 
  • Real-time processing frameworks. 
  • Data buffering tools.
  • Machine Learning skills.

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All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. is not a Consulting Company/Training Company/H1B Sponsor.

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