EY Consultant / Senior Consultant- MS Azure 

Jordan, Amman, Amman 

360173337

Key Responsibilities

• Support in designing, develop, and deploy cloud native applications and web solutions using Microsoft Azure services via an inhouse MS Azure platform
• Build and manage ETL pipelines using Azure Data Factory, SSIS, and Python scripts
• Develop and maintain SQL Server databases with optimized queries and schema design
• Perform data analytics, including data profiling, cleansing, and KPI development
• Create and maintain Power BI dashboards and reports to support strategic decision-making
• Use Python for automation, scripting, and data processing
• Apply SDLC principles throughout development, from requirements gathering to testing and deployment
• Collaborate with cross functional teams to understand business needs and translate them into technical solutions
• Ensure application and data security, performance, and scalability

Essential Technical Skills

• Microsoft Azure: App Services, Azure Functions, Logic Apps, Blob Storage, Azure Active Directory
• Database & Data Engineering: Strong command of SQL Server: advanced T-SQL, indexing, performance tuning
• ETL Tools: Azure Data Factory, SSDT and custom Python-based pipelines
• Working with large datasets, data cleansing, and transformation
• Experience with data modelling, data warehousing, integration of structured and unstructured data and star/snowflake schemas

Business Intelligence & Data Analytics

• Power BI: dashboard/report design, DAX, data modelling
• Data analytics such as profiling, transformation, KPI reporting, statistical analysis basics. Ability to build scenarios on the given data and run scripts to address business problems
• Integration with cloud and on-prem data sources
• Python for scripting, automation, ETL processes, API integration and lightweight machine learning
• Familiarity with REST APIs, JSON and data interchange

Good-to-Have / Optional Skills

• Exposure to AI/ML concepts and libraries like Scikit learn, TensorFlow, or use of Azure Machine Learning Studio
• Experience with Power Apps / Power Automate for low-code business solutions
• Knowledge of containerization (Docker, Kubernetes, Azure Kubernetes Service)

Essential Soft Skills and Professional Attributes

• Strong analytical thinking and problem-solving mindset
• Ability to gather and interpret business requirements and translate into actionable technical work
• Excellent written and verbal communication, capable of working with technical and non-technical stakeholders
• Comfortable with requirement workshops, stakeholder demos, and user training
• Understanding and application of the SDLC in both Agile and traditional environments
• Proven stakeholder management skills and ability to work independently and within cross-functional teams
• Strong sense of ownership, accountability, and ability to manage multiple priorities