la26.031 - Data Engineering Lead

Tiger Analytics • Scala • 4 months ago
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≈ $53k – $120k per year (Estimated)
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Tiger Analytics

Tiger Analytics is an advanced analytics and artificial intelligence consultancy founded in 2011 that builds data science and decision systems for consumer goods, retail, insurance, healthcare and technology clients. Its engagements typically run from data platform construction through model development to deployment and monitoring in production, rather than stopping at proof of concept, and it also packages recurring problem shapes into reusable accelerators. Headquartered in Santa Clara with its largest delivery organisation in India, it employs several thousand data scientists and engineers across North America, Europe, India and Australia.
tigeranalytics.com • HQ: Santa Clara, United States • MLOps • Data Engineering • AI Consulting & Integration • Data Science • Est. 2011

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.
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