Microsoft is hiring fresher’s and experienced candidates for the role of Technology Consulting Apprenticeship. The complete details about role are as follows.
Microsoft Recruitment For Technology Consulting Apprenticeship
Company : Microsoft
Role : Technology Consulting Apprenticeship
Degree : Graduate/BE/B.Tech
Batches : 2026,2025,2024
Experience : Fresher’s
Salary : 3 – 5 LPA* (Expected)
Location : Hyderabad, India
Job Description:
As a Technology Consultant Apprentice, you will establish and build data management solutions based on business and analytical requirements to integrate, govern, transform, and store data across distributed Azure cloud services, databases, and other applicable storage systems. You will leverage your understanding of Azure services, data governance principles, and analytics platforms to ensure high-quality, secure, and reliable data pipelines and workflows. This includes working with Azure Purview for data governance, Azure Fabric for unified analytics, and Power BI for business intelligence to deliver actionable insights and cutting-edge data solutions.
Qualifications & Skills :
- Pursuing a Bachelor’s Degree in Computer Science, Engineering, Finance, Business, or related field
- Strong understanding of data management principles, including governance, integration, and security.
- Basic knowledge of data visualization and analytics tools such as Power BI or Tableau.
Preferred Qualifications:
- Familiarity with data management and analytics tools like Azure Purview, Power BI, and Azure Synapse Analytics.
- Proficiency in SQL, Python, and data modeling concepts (e.g., star schema, snowflake schema).
- Exposure to handling various data formats like JSON, CSV, and XML for analytics and reporting.
- Leveraging AI tools like co-pilots to enhance efficiency and innovation in your projects.
- Knowledge of data governance practices, including metadata management and role-based access controls (RBAC).
- Ability to troubleshoot, optimize, and document data workflows and analytical pipelines.
- Strong communication and collaboration skills to work with both technical teams and business stakeholders.
Roles and Responsibilities :
Perform Data Governance and Integration
- Implement data governance frameworks using tools like Azure Purview to ensure data consistency, compliance, and security.
- Integrate data from multiple sources, ensuring accurate and efficient data consolidation for analytics purposes.
- Work with various data formats (e.g., JSON, CSV, XML) and ensure compatibility with analytical tools.
Design and Build Analytical Solutions
- Develop and maintain data models and reporting solutions to support business analytics use cases.
- Create schemas and metadata for effective organization and discovery of data across storage systems.
- Apply data modeling techniques (e.g., star schema, snowflake schema) to design optimal structures for business intelligence and reporting.
Optimize and Manage Data Workflows
- Analyze and resolve data governance and quality issues, ensuring reliability in analytics workflows.
- Optimize data flows for reporting, including implementing caching, indexing, and partitioning strategies.
- Implement role-based access controls (RBAC) and security measures to protect sensitive information.
Implement and Validate Analytical Dashboards
- Design and implement interactive dashboards using tools like Power BI to provide real-time insights.
- Validate data accuracy in visualizations by ensuring consistency with source systems.
- Perform exploratory data analysis (EDA) to uncover trends and insights for stakeholders.
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About Microsoft :
At Microsoft, we have a history of helping customers turn challenges into business opportunities. That’s because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with Microsoft, you’ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You’ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.