Data Engineering Lead

Tiger Analytics

Data Engineering Lead spearheading the development of complex data infrastructure for analytics and AI at Tiger Analytics. Leading innovative and scalable data solutions for global enterprises.

Posted 5/25/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudScalaSDLCSpark

About the role

Key responsibilities & impact

Spearhead the development and deployment of complex data infrastructure.
Ensure high-quality data availability for analytics and AI initiatives.

Requirements

What you’ll need

**Claude AI Skills for SDLC:** Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC) is essential. This includes hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets. Additionally, expertise in implementing Claude AI solutions within the Azure cloud environment is required, ensuring seamless integration and deployment in cloud-based infrastructures. Candidates should demonstrate the ability to leverage these technologies to optimize development workflows, improve automation, and enhance overall project outcomes.

Benefits

Comp & perks

A collaborative and innovative work environment.
Opportunities to work on impactful projects with global clients.
Competitive salary and benefits tailored to mid to senior professionals.
Continuous learning and career development opportunities.
Flexible working arrangements based in Mexico.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Claude AISoftware Development Life Cycle (SDLC)DatabricksSparkScaladata processingdata analysiscloud integrationautomationproject optimization