Job Summary
AVD - Azure Virtual Desktop.
Key Responsibilities
Hands-on experience with Azure AVD services and Big Query, including designing, building, and optimizing cloud-based data solutions Practical use of workflow automation tools to orchestrate data movement and processing Expertise in implementing and optimizing data pipelines using at least one GCP data processing tool Advanced programming skills for data pipeline development and ETL processes using Python or PySpark Proficiency in SQL and DBT for data modelling, transformation, and ETL best practices Ability to build and maintain actionable business data visualizations using Looker Experience maintaining data integrity, security standards, and governance across platforms Ability to gather requirements, troubleshoot, and deliver solutions aligned with business objectives in team settings Capability to document technical specifications and share knowledge for operational excellence Understanding of data warehousing principles and ETL architecture in cloud environments Exposure to advanced Cloud services and emerging technologies for extended data engineering capabilities Possession of relevant certifications demonstrating validated expertise in Google cloud technologies Demonstration of strong analytical thinking, creative problem-solving, and effective communication Familiarity with Agile practices and ability to work collaboratively in dynamic project environments
Skill Requirements
AVD - Azure Virtual Desktop.
Other Requirements
AVD - Azure Virtual Desktop.