Azure Data Specialist
Azure Data Specialist
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Job Description
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 or MCA. Certifications: Azure Big Data Databricks Certified Associate
Employment Type
Full Time
