
Senior Backend Engineer
2 days ago
Key Responsibilities:
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Design and implement scalable data integration pipelines using Azure Data Factory, Azure Databricks, and ADLS
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Develop and deploy AI/ML models using Azure Machine Learning, Azure Cognitive Services, and other Azure AI services
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Integrate Azure AI services with existing infrastructure, ensuring seamless data flow and processing
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Collaborate with cross-functional teams to identify data integration and AI/ML requirements
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Optimize data pipelines and AI/ML models for performance, reliability and security
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Troubleshoot issues and ensure high-quality data processing and AI/ML model performance
Required Skills & Experience:
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Backend Development: 7–10 years of experience with Java and Spring Boot, focused on building scalable microservices
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API Integration: Strong understanding of REST APIs, API design principles, and integration patterns
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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
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Data Integration: Experience with data integration tools and technologies, including ETL/ELT processes
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AI/ML: Knowledge of machine learning concepts, including model development, deployment, and management
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Cloud Infrastructure: Familiarity with Azure infrastructure, including Azure Virtual Machines, Azure Storage, and Azure Networking
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Database Systems: Proficient with databases like PostgreSQL, MySQL, or MongoDB
Nice to Have:
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Azure Certifications: Relevant Azure certifications, such as Azure Data Engineer or Azure AI Engineer
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Cloud Architecture: Experience with designing and implementing cloud-based architectures
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DevOps: Familiarity with DevOps practices, including CI/CD pipelines and infrastructure as code
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Security: Knowledge of security best practices, including data encryption, access control, and threat protection
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