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Tap Growth ai

Tap Growth ai

Azure Databricks / Python Data Engineer

Fort Worth, USSur siteCDITemps plein

Publié 30 sept. 2026

Cet emploi est publié en EN

🌟 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! 🚀

Aperçu du poste

Type de poste

Temps plein

E-mail

recruiter@tapgrowth.ai

Compétences requises

Azure DatabricksPython programming for data engineeringDesigning and maintaining scalable data pipelinesAzure services (related to Databricks)ETL developmentBig data processingPerformance optimization of data workflowsData quality management and best practicesData security best practicesTroubleshooting and debugging complex data issuesRequirements gathering from cross-functional teamsTechnical communication with engineering teams

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