Contract Duration: 18 months (NO C2C)
Estimated Regular Hours/Week: 40.00
Hybrid
Skills Required:
Strong focus on data modeling and a deep understanding of Azure services. Extensive experience with Azure Dataverse and be proficient in leveraging Microsoft Azure's ecosystem for data management and analytics. Familiarity with Azure Data Lake and Databricks. Excellent communication skills and the ability to collaborate effectively with cross-functional teams to drive innovation and meet business objectives. Successful architecting and implementing data solutions in Azure environments.
Experience Required:
5+ years experience with Azure Dataverse. 5+ years experience with data modeling and database schema design. 5+ years experience in Microsoft Azure services, particularly in data management and analytics. 5+ years experience in architecting and implementing data solutions within Azure environments. 3+ years experience with Azure DataLake for scalable data storage and processing ETL and ELT solutions, as well as real-time change data capture (CDC) 3+ years experience of Databricks for data engineering and analytics. 3+ years experience with designing and optimizing data pipelines for performance and reliability. 3+ years experience in data governance and compliance requirements within Azure environments to protect the data integrity and privacy of users while promoting efficient data access and collaboration.
Education Required:
This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
Additional Information:
It is a requirement for the candidate to visit our office in person to complete the live scan process following the provisional offer of employment. Upon successful completion of the live scan, the candidate will be formally welcomed onboard. Candidate required to be in office one day per week and 4 days working from home.
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