Azure Data Engineer

7 days ago


Mumbai, Maharashtra, India Cloudare Technologies Full time
Job Description

At Cloudare Technologies, we are seeking a highly skilled Azure Data Scientist to join our team. As a key member of our data analytics team, you will be responsible for managing and analyzing large datasets using Azure data services to inform business decisions.

Data Pipeline Architecture

  • Design and implement data pipeline architecture within Azure to ensure efficient data processing and analysis.
  • Develop and maintain data pipelines to support business intelligence and data-driven decision making.

Data Analysis and Insights

  • Analyze large datasets to identify trends, patterns, and correlations that inform business decisions.
  • Develop and maintain data visualizations and reports to communicate insights to stakeholders.

Machine Learning and AI

  • Design and implement machine learning models using Azure Machine Learning to solve complex business problems.
  • Develop and deploy AI-powered solutions to drive business growth and improvement.

Cloud Data Management

  • Manage and maintain Azure data services, including Azure Storage, Azure Data Lake, and Azure Synapse Analytics.
  • Ensure data security, integrity, and compliance with regulatory requirements.

Collaboration and Communication

  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions.
  • Communicate complex data insights and recommendations to stakeholders through clear and concise reports and presentations.

Requirements

  • 3+ years of experience in data science, machine learning, or a related field.
  • Proficiency in Azure data services, including Azure Machine Learning, Azure Data Lake, and Azure Synapse Analytics.
  • Strong programming skills in languages such as Python, R, or SQL.
  • Excellent communication and collaboration skills.

What We Offer

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.

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