Data Engineer requirements:

• Design, Deploy, and maintain solutions on MS Azure using different Cloud & Big Data Technologies.
• Manage the full life cycle of a Data Lake / Big Data solutions from requirement gathering and analysis to platform selection, design of the architecture, and deployment.
• Be responsible for implementing solutions that can scale on Cloud.
• Collaborate with a team of business domain experts, data scientists, and application developers to develop BD solutions.
• Explore and learn new technologies for creative business problem solving and mentor a team of Data Engineers.

Power BI requirements:

• Understand business requirements in BI context and design data models to transform raw data into meaningful insights.
• Convert business requirements into technical specifications and decide timeline to accomplish.
• Create dashboards and interactive visual reports using Power BI
• Identify key performance indicators (KPIs) with clear objectives and consistently monitor them.
• Analyzing data and present data through reports that aid decision-making
• Create relationships between data and develop tabular and other multidimensional data models.
• Chart creation and data documentation explaining algorithms, parameters, models, and relations.
• Design, develop, test, and deploy Power BI scripts and perform detailed analytics.
• Perform DAX queries and functions in Power BI
• Analyze current ETL process, define and design new systems.
• Redefine and make technical/strategic changes to enhance existing Business Intelligence systems.
• Create customize charts and custom calculations as per requirements.
• SQL querying for best results, use of filters and graphs for better understanding of data
• Work with users and team members at all levels for performance improvement and suggestions