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