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Data Engineer

Data Engineer

CyberTecHouston, TX, United States
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Role : Data Engineer

Houston, Texas- Hybrid role so local only

Rate : $65hr C2C

Client- manufacturing company

Visa-NO H1-B and no fake GC Please

6-12 month

Are you a skilled Data Engineer with expertise in Azure, ADF, AI / ML, and Microsoft Fabric

We're looking for a talented individual to join our team in a mid to senior-level position.

About the Role :

Join us in Houston, Texas, for a Hybrid / onsite position as a Data Engineer focusing on cloud technology, data pipelines, and intelligent systems. If you're passionate about building scalable data solutions using Azure Data Factory, integrating AI / ML models, and leveraging Microsoft Fabric, this role is perfect for you.

Key Responsibilities :

  • Design, build, and maintain robust data pipelines with Azure Data Factory (ADF) and Azure Synapse.
  • Develop and optimize data models and ETL / ELT processes for both structured and unstructured data.
  • Collaborate with data scientists to deploy AI / ML models in production environments.
  • Utilize Microsoft Fabric for unified data experiences in analytics, governance, and business intelligence.
  • Ensure data quality, security, and compliance throughout the data lifecycle.
  • Translate business requirements into scalable data solutions with cross-functional teams.

Required Skills & Experience :

  • 5+ years of experience in data engineering or related roles.
  • Hands-on expertise with Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure SQL.
  • Proficiency in Python, SQL, and data transformation tools.
  • Experience deploying AI / ML models in production environments.
  • Familiarity with Microsoft Fabric components like OneLake, Power BI, and Data Activator.
  • Strong understanding of data architecture, governance, and DevOps practices.

    • Qualifications :

  • Microsoft certifications such as Azure Data Engineer Associate or Azure AI Engineer.
  • Experience with real-time data streaming tools like Azure Stream Analytics or Kafka.
  • Knowledge of MLOps and CI / CD pipelines for data workflows.
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    Data Engineer • Houston, TX, United States

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