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Azure Data Specialist - PradeepIT Consulting Services Pvt Ltd | Career Page

Azure Data Specialist

Bengaluru, Karnataka, India

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Job Openings Azure Data Specialist

About the job Azure Data Specialist

Education and Work Experience Requirements

  • Overall, 5 to 9 years of experience in IT Industry. Min 6 years of experience working on Data

Engineering - Solution Architecture.

  • Design and develop Power BI solutions, ensuring data visualization best practices.
  • Develop Python-based automation scripts to optimize workflows and processes.
  • Define architecture for data-driven solutions.
  • Provide solutioning for web applications and data pipelines.
  • Architect Cloud or on-prem based Data platforms and Data Warehousing solutions for efficient data

storage and processing.

  • Stay updated with emerging technologies and quickly adapt to new tools and frameworks.
  • Work with Jenkins for basic DevOps processes, including CI/CD pipelines.
  • Ensure scalability, security, and performance of deployed solutions.
  • Collaborate with business teams, data engineers, and developers to align solutions with business

goals.

  • Present technical solutions in a clear and concise manner to both technical and non-technical

stakeholders.

  • Document architectural designs and best practices for future reference.

Mandatory Skills

Power BI

Expertise in report/dashboard development and DAX calculations.

Python

Hands-on experience in automation and scripting.

Azure

Strong knowledge of Data Lakes, Data Warehouses, and cloud architecture.

Solution Architecture

Experience in designing web applications and data engineering solutions.

DevOps Basics

Familiarity with Jenkins and CI/CD pipelines.

Communication

Excellent verbal and written communication skills.

Fast Learner

Ability to quickly grasp new technologies and adapt to changing requirements.

Additional Information

Qualifications - BE, MS, M.Tech or MCA.

Certifications

Azure Big Data, Databricks Certified Associate

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Skills

  • Azure
  • Power BI
  • Python
  • Jenkins
  • DAX
  • Databricks

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