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# Azure Data Engineer W/Databricks

- **Company:** IT Trailblazers, LLC
- **Location:** Cincinnati, OH, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Unit Testing, Microsoft Azure, Cloud Storage, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Database Development, Github, Python (Programming Language), Oracle (Applications), Systems Development Life Cycle, Regression Testing, Software Engineering, Data Streaming, Git, Pyspark, Integration Tests, Databricks
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/659810b1-0156-4c10-be7e-69be95733788

## About the Role

Software Languages and Software Development 4+ years in the following areas:

PySpark 4+ years

Python 4+ years

Data Development, Data Warehouse, ETL concepts 4+ years

Azure Skills 2+ years in most of the following areas:

Security Concepts

Domain Concepts

Storage Accounts

Key Vaults and Secrets

Databricks Skills 2+ years in most of the following areas:

Notebooks

Delta Live Tables

Databricks Asset Bundles

Cluster Configuration and Management

Unity Catalog

SDLC Skills 3+ years of experience in the following areas:

CI/CD Concepts

Git, GitHub Repositories

Automated Testing (Unit Testing, Integration Testing, Regression Testing)

Business Drivers/Customer Impact

IRIS - Inventory Replenishment Innovation and Sciences
The team's vision is to enhance Client's warehouse inventory planning and replenishment capabilities by using data science solutions to maximize profit and service level objectives. This is done by Identifying and integrating optimized parameters and decision thresholds into AIP (oracle's Advanced Inventory Planning) to support inventory planning and replenishment decisions.

## Description

Azure
Databricks
Python (Python is a critical skill for this role & candidates will be expected to complete a coding problem during the interview in core python)
Github
Unit Testing
Streaming with Declarative Pipelines (SDP), This resource will be supporting project IRIS (tied to Supply Chain Analytics space)


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