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tiger-analytics

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la26.031 - Data Engineering Lead

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Tiger Analytics Inc. is a premier AI and advanced analytics consulting firm focused on delivering innovative and scalable data solutions to leading global enterprises. We empower organizations by leveraging cutting-edge technologies and data-driven strategies. We are looking for an experienced Data Engineering Lead to spearhead the development and deployment of complex data infrastructure, ensuring high-quality data availability for analytics and AI initiatives.

Requirements

  • 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

  • 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.

Skills

What Lead Data Engineering jobs ask for — and how much of it you have →
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See also

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