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Cloud Data Analyst

2 months ago

Mumbai, Maharashtra, India Cloudare Technologies Full time
Job Summary

As a Cloud Data Analyst at Cloudare Technologies, you will be responsible for managing and analyzing large datasets using Azure data services to inform business decisions. You will build and maintain data pipeline architecture within Azure, assemble complex data sets that meet functional business requirements, and identify, design, and implement internal process improvements. Additionally, you will use machine learning tools to select features, build robust ML models, carry out preprocessing of structured and unstructured data, enhance data collection procedures, process, cleanse, and validate the integrity of data, analyze large amounts of information to find patterns and solutions, develop prediction systems and machine learning algorithms, and propose solutions and strategies to tackle business challenges.

Key Responsibilities
  • Manage and analyze large datasets using Azure data services
  • Build and maintain data pipeline architecture within Azure
  • Assemble complex data sets that meet functional business requirements
  • Identify, design, and implement internal process improvements
  • Use machine learning tools to select features and build robust ML models
  • Carry out preprocessing of structured and unstructured data
  • Enhance data collection procedures
  • Process, cleanse, and validate the integrity of data
  • Analyze large amounts of information to find patterns and solutions
  • Develop prediction systems and machine learning algorithms
  • Propose solutions and strategies to tackle business challenges

Requirements
  • Strong understanding of Azure data services and data pipeline architecture
  • Experience with machine learning tools and techniques
  • Ability to analyze large datasets and identify patterns and solutions
  • Strong communication and problem-solving skills

What We Offer
  • Competitive salary and benefits package
  • Opportunity to work with a leading technology company
  • Collaborative and dynamic work environment

How to Apply

Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you