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ICONMA, LLC

Python / Azure Databricks Engineer Cloud & Data Engineering

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Job Description

Python / Azure Databricks Engineer - Cloud & Data Engineering#26-40808

Up to $42.86 per hour

Tempe, AZ

Hybrid

Job Description

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