What are the responsibilities and job description for the Full Stack Developer(Python) with Azure ,Snowflake, Databricks, Apache Iceberg, Data lakehouse , position at Intone Networks Inc.?
URGENTLY LOOKING FOR Software Engineer ((Python) with Azure ,Snowflake, Databricks, Apache Iceberg, Data Lakehouse, LLM Must) || Onsite – Dallas , Plano , TX
Urgent Role: Candidate Must be local and Must have LLM EXP. Location strongly preferred to be in Dallas or Plano, Texas.
Role: Full Stack Developer(Python) with Azure ,Snowflake, Databricks, Apache Iceberg, Data lakehouse ,
Location: Onsite in Dallas or Plano, Texas.
Duration: 06 Months CTH
Moi Video Interviews
Full Stack Developer(Python) with Azure ,Snowflake, Databricks, Apache Iceberg, Data lakehouse , LLM Muxt have exp.
CGI/PNC ,
Your future duties and responsibilities
. Design, develop, and maintain scalable backend applications and RESTful APIs using Python and FastAPI
. Build high performance, secure, and reusable API services supporting AI, analytics, and enterprise applications
. Develop integrations with Snowflake, Databricks, and cloud-based data platforms
. Design and optimize data access layers supporting structured, semi structured, and large-scale datasets
. Develop services that leverage Apache Iceberg tables and modern data lakehouse architectures
. Build event driven and asynchronous backend services where appropriate
. Optimize API performance, scalability, reliability, and security
. Implement authentication and authorization using OAuth2, JWT, Azure AD, or similar enterprise identity providers
. Collaborate with cloud engineers to deploy applications on Microsoft Azure using modern DevOps practices
. Participate in architecture reviews, code reviews, and technical design discussions
Required qualifications to be successful in this role
. Bachelor’s degree in computer science, Engineering, or equivalent experience
. 5 years of professional software development experience
. 5 years of hands-on Python development
. Strong experience developing production grade applications using FastAPI
. Strong understanding of REST API design and backend architecture
. Experience with asynchronous programming in Python
. Experience integrating applications with Snowflake
. Experience working with Databricks
. Experience using Apache Iceberg tables and modern lakehouse architectures
. Experience developing applications on Microsoft Azure
. Experience building AI enabled or GenAI applications
. Experience integrating with Large Language Models (Azure OpenAI, OpenAI, Anthropic, etc.)
. Experience with vector databases and Retrieval Augmented Generation (RAG)
. Experience with MLflow or MLOps practices
. Experience writing unit, integration, and automated tests
. Strong knowledge of SQL and database design
. Experience with containerization technologies such as Docker
. Excellent debugging, analytical, and problem solving skills
. Strong communication and collaboration skills
Preferred Qualifications
. Experience with Azure Kubernetes Service (AKS)
. Experience with Azure Functions or Azure App Services
. Experience with Azure API Management
. Experience with Azure Key Vault
. Experience with Azure Event Hubs or Service Bus
. Experience with Terraform or Infrastructure as Code
. Familiarity with Spark and PySpark
. Experience with distributed systems and microservices architectures
Regards,
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Balraj Singh
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Salary : $55 - $60