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