Senior Backend Engineer

Key Responsibilities:

• Design and implement scalable data integration pipelines using Azure Data Factory, Azure Databricks, and ADLS
  

• Develop and deploy AI\/ML models using Azure Machine Learning, Azure Cognitive Services, and other Azure AI services
  

• Integrate Azure AI services with existing infrastructure, ensuring seamless data flow and processing
  

• Collaborate with cross\-functional teams to identify data integration and AI\/ML requirements
  

• Optimize data pipelines and AI\/ML models for performance, reliability and security
  

• Troubleshoot issues and ensure high\-quality data processing and AI\/ML model performance
  

  Required Skills & Experience:
  

  
  

  
  

  • Backend Development: 7\10 years of experience with Java and Spring Boot, focused on building scalable microservices
    

  • API Integration: Strong understanding of REST APIs, API design principles, and integration patterns
    

  • Azure Data & AI Services: Strong understanding of Azure AI and data services \- ADLS, Azure Data Factory, Azure Databricks, Azure Machine Learning, and Azure Cognitive Services
    

  • Data Integration: Experience with data integration tools and technologies, including ETL\/ELT processes
    

  • AI\/ML: Knowledge of machine learning concepts, including model development, deployment, and management
    

  • Cloud Infrastructure: Familiarity with Azure infrastructure, including Azure Virtual Machines, Azure Storage, and Azure Networking
    

  • Database Systems: Proficient with databases like PostgreSQL, MySQL, or MongoDB
    

    
    

    
    

    Nice to Have:
    

    • Azure Certifications: Relevant Azure certifications, such as Azure Data Engineer or Azure AI Engineer
      

    • Cloud Architecture: Experience with designing and implementing cloud\-based architectures
      

    • DevOps: Familiarity with DevOps practices, including CI\/CD pipelines and infrastructure as code
      

    • Security: Knowledge of security best practices, including data encryption, access control, and threat protection
      

      
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