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Lead Data Engineer (Azure) - Remote

Posted Yesterday
Data Analysis
Full Time
CA, USA

Overview

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

In Short

  • Expanding Data Engineering practice
  • Looking for Azure Data Engineers
  • Strong analytical skills required
  • Combine data from different sources
  • Align data systems with business goals
  • Work with Fortune 100 companies
  • Part of a growing team of analytics experts
  • Remote global workforce available
  • Focus on bespoke solutions
  • Opportunity to solve tough organizational problems

Requirements

  • Experience in data engineering
  • Proficiency in Azure technologies
  • Strong problem-solving skills
  • Ability to work with large datasets
  • Excellent communication skills
  • Experience with data integration
  • Understanding of business goals
  • Ability to work collaboratively
  • Experience with analytics tools
  • Ability to work in a fast-paced environment

Benefits

  • Work with leading companies
  • Opportunity for career growth
  • Flexible working arrangements
  • Collaborative work environment
  • Access to latest technologies
  • Remote work options
  • Competitive salary
  • Health and wellness programs
  • Professional development opportunities
  • Supportive team culture
Tiger Analytics logo

Tiger Analytics

Tiger Analytics is an advanced analytics consulting firm that partners with Fortune 100 companies to unlock business value from data. With a strong focus on Data Science, Machine Learning, and AI, the company is recognized for its leadership and expertise by prominent market research firms like Forrester and Gartner. Tiger Analytics seeks professionals who possess a blend of business consulting skills and data analytics experience, emphasizing the importance of translating complex business problems into actionable analytics solutions.

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