Python / Azure Databricks Engineer Cloud & Data Engineering

Our Client, an IT Services and Consultant company, is looking for a Python / Azure Databricks Engineer – Cloud & Data Engineering for their Tempe, AZ/ Fort Worth, TX/ Hybrid location. Integrate applications with Azure services, databases, messaging systems, and third-party platforms.

Our Client, an IT Services and Consultant company, is looking for a Python / Azure Databricks Engineer – Cloud & Data Engineering for their Tempe, AZ/ Fort Worth, TX/ Hybrid location.
 
Responsibilities:

• Design, develop, and maintain enterprise-grade applications using Python, Java Spring boot.
• Lead the migration of existing Java/Spring Boot applications to Python-based architecture.
• Implement cloud-native solutions using Azure Functions and Azure App Services.
• Build scalable data engineering and data processing solutions using Azure Databricks.
• Must have hands on experience using Gen AI tools like GitHub CoPilot
• Collaborate with architects, product owners, and business stakeholders to define technical solutions.
• Design REST APIs and microservices following best practices.
• Integrate applications with Azure services, databases, messaging systems, and third-party platforms.
• Perform code reviews, unit testing, performance tuning, and troubleshooting.
• Participate in CI/CD implementation and DevOps automation.
• Ensure application security, scalability, reliability, and operational excellence

 
Requirements:

• Primary skills (must have):
• Strong hands-on experience in Python Development
• Extensive experience with Azure Databricks
• Strong knowledge of Java Springboot
• Experience designing and developing ETL/Data Engineering solutions
• Azure Cloud Services
• Azure Databricks
• Azure Functions
• Azure App Services
• REST API Development
• SQL. Postgress SQL
• Git-based source control
• Secondary Skills (Must Have):
• Core Java
• Spring Boot
• Microservices Architecture
• Application Modernization and Migration
• Good to have
• Azure Data Factory (ADF)
• Azure Storage Accounts
• Azure Key Vault
• Event Hub / Service Bus
• Docker & Kubernetes
• Terraform / Infrastructure as Code
• CI/CD using Azure DevOps or GitHub Actions
• Apache Kafka
• Monitoring tools such as Application Insights and Log Analytics
• AI Tools
• Years of experience: 7-9 Years of Experience

 
Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities