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Python / Azure Databricks Developer

Rapsys Technologies
Fort Worth, TX, United States
4 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Application Services Continuous Integration Information Engineering Extract Transform Load (ETL) Junit Python (Programming Language) PostgreSQL Apache Maven Performance Tuning
+12 more
Redis Standard Sql Software Engineering GitHub Copilot Spring-boot Generative AI Kubernetes Data Management Restful APIs Serverless Computing Databricks Microservices

Requirements

  • Strong hands-on Python development - production-grade services, APIs & data platforms
  • Extensive Azure Databricks experience
  • Strong Java / Spring Boot
  • Experience migrating Java/Spring Boot applications to Python
  • Azure Functions & Azure App Services
  • ETL / Data Engineering
  • REST APIs & Microservices
  • PostgreSQL / SQL
  • Hands-on experience with GenAI tools such as GitHub Copilot
  • Kubernetes, Redis, Git & GitHub Actions
  • Maven, JUnit, CI/CD & Agile
  • Strong software design, testing, troubleshooting & performance optimization

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

5:14 min

Executing Databricks jobs with built-in Airflow operators

Alan Mazankiewicz · LIVE

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

4:15 min

Refactoring test code dependencies with Maven and JUnit

Benjamin Bischoff Benjamin Bischoff · Europe 2026 Virtual

2:05 min

Enhancing Databricks tooling for software engineering workflows

Alan Mazankiewicz · LIVE

2:38 min

Overview of Databricks and interactive data processing

Alan Mazankiewicz · LIVE

Videos

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39:14
LIVE • almost 5 years ago

Fully Orchestrating Databricks from Airflow

Alan Mazankiewicz

How Unit Testing Saved My Career thumbnail
26:33
World Congress 2025 • about 1 year ago

How Unit Testing Saved My Career

Annelore Egger

Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis) thumbnail
34:39
about 1 year ago

Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)

From boy scouting to redrawing the landscape thumbnail
30:01
World Congress 2024 • about 2 years ago

From boy scouting to redrawing the landscape

timtebeek

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49:52
LIVE • almost 3 years ago

Accelerating Authentication Architecture: Taking Passwordless to the Next Level

Yedidya Schwartz

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 3 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

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