Consultant – Data Engineering

• Design and develop scalable data pipelines and ETL processes using advanced T-SQL and SQL Server technologies.
  
• Manage the full software development lifecycle for data solutions, utilizing Azure DevOps for version control, CI/CD pipelines, and release management.
  
• Create interactive dashboards and comprehensive reports using Power BI to enable data-driven decision-making for stakeholders.
  
• Implement and maintain automation workflows using Power Automate and SharePoint to streamline business processes.
  
• Oversee data governance and master data management (MDM) initiatives using Microsoft MDS to ensure data integrity and consistency.
  
• Administer and enhance ServiceNow ITSM reporting modules to improve service delivery and operational visibility.
  
• Apply ITIL best practices to manage IT service improvements, incident resolution, and change management protocols.
  
• Collaborate with cross-functional teams to integrate Git-based version control strategies into development workflows.
  

• Minimum of 8 years of professional experience in data engineering, IT services, or a related technical domain.
  
• Proven expertise in Azure DevOps, including experience with Git repositories, build pipelines, and deployment strategies.
  
• Advanced proficiency in SQL Server and T-SQL for complex query writing, optimization, and data manipulation.
  
• Strong capability in developing business intelligence solutions using Power BI and integrating them with enterprise data sources.
  
• Hands-on experience with Microsoft Power Automate and SharePoint for workflow automation and content management.
  
• Solid understanding of Release Management principles and tools to ensure smooth software deployments.
  
• Familiarity with ITIL frameworks and experience in applying these standards to IT service management.
  
• Competence in utilizing Microsoft MDS for master data management and governance.
  
• Experience with ServiceNow ITSM, specifically in configuring and analyzing reporting features.
  

Originally posted on Himalayas