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Rapsys Technologies Pte Ltd.

Rapsys Technologies Pte Ltd.

Azure Databricks / Python Data Engineer

Fort Worth, USVor OrtUnbefristetVollzeit

Veröffentlicht am 30. Sept. 2026

Diese Stelle wird in EN ausgeschrieben

🌟 We're Hiring: Azure Databricks / Python Data Engineer! 🌟

We are searching for a skilled and experienced Data Engineer to join our team in Fort Worth. As an Azure Databricks / Python Data Engineer, you will play a key role in designing, developing, and optimizing data pipelines and analytics solutions utilizing Azure technologies and advanced Python programming. Bring your expertise to help us drive data-driven decisions and innovation!

📍 Location: Fort Worth, United States

⏰ Work Mode: Work from Office

💼 Role: Azure Databricks / Python Data Engineer

What You'll Do:

🔹 Design, build, and maintain scalable data pipelines on Azure Databricks

🔹 Develop robust ETL processes using Python

🔹 Collaborate with cross-functional teams to gather requirements

🔹 Optimize existing workflows for performance and reliability

🔹 Implement best practices for data quality and security

🔹 Troubleshoot complex data issues effectively

What We're Looking For:

✅ Minimum 8 years of experience in data engineering

✅ Strong proficiency in Azure Databricks and related services

✅ Advanced skills in Python programming for data solutions

✅ Experience with ETL development and big data processing

✅ Excellent problem-solving abilities

✅ Effective communication skills with technical teams

If you're ready to contribute your expertise and grow with us, apply now! 🚀

Rollenübersicht

Jobart

Vollzeit

E-Mail

mitali.s@rapsystechnologies.com

Erforderliche Kompetenzen

Azure DatabricksAzure data services (related services)Python programming for data solutionsETL developmentBig data processingDesigning scalable data pipelinesMaintaining production data pipelinesPerformance optimization of data workflowsData quality best practicesData security best practicesTroubleshooting complex data issuesRequirements gathering and cross-functional collaborationTechnical communication with teams

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