Information Management Engineer, Data Enablement, Contract

Overview of 66degrees

66degrees is a leading Google Cloud Premier Partner. We believe that engineering takes heart. Focusing exclusively on Google Cloud, we help our clients achieve the most innovative and disruptive transformations in their industries.

Overview of Role

We are looking for a Information Management Engineer, Data Enablement (Contract-to-Hire after 6 months) for one of our clients and will be responsible for the metadata management and engineering of the model of our Master Data Management environment. This role will work closely with our Business Data Enablement and Data Governance teams to support our master data management efforts. Travel required 25%. Remote Role.

Responsibilities:

• Plan, coordinate, develop and support master data management efforts including establishing new best practice in an Azure Purview (formerly Azure Data Catalog) environment
• Experience in performance engineering with Azure toolsets
• Develop cross validation rules to ensure information accuracy
• Define technical approach documents (define calculated logic, process flow)
• Meet business requirements of the projects as new data sources are added
• Experience in handling structured & unstructured data
• Expertise in Data Governance & Data Quality Services (including profiling, metadata management, data lineage) on Azure will be of critical advantage.
• Provide regular project updates to shared team resources and management as needed
• Communicate issues, risks, and concerns proactively to management and engage colleagues while working in a hybrid Agile/Scrum process
• Document metadata in Azure Purview thoroughly to allow peers to assist with support as needed
• Provide technical assistance and task delegation to a flexible team of staff engineers, consultants, and interns in close coordination with team Managers and Directors

Qualifications:

• 5-10 years of experience in progressive data analyst and engineering roles
• Strong knowledge of structured and unstructured datasets
• Experience in building Power BI datasets and tabular models
• Ability to set up and automate Azure Purview platform-related activities using established connection methods
• Bachelor’s degree in computer science or related field and five plus years’ experience in information technology or equivalent progressive experience with data engineering and data warehouse technologies with a focus on the Azure platform in the past five years to present
• Microsoft Certified Professional in the Azure Data Engineering track is strongly preferred
• Knowledge of best practices in enterprise wide information management implementation, availability and security configuration
• Advanced experience with Azure using data warehouse technologies, including Azure Data Factory, Azure Synapse (aka Azure Data Warehouse), Azure Synapse Analytics, Azure SQL DB, Azure Logic Apps, and Azure Analysis Services, Azure Databricks
• Advanced understanding and comprehension of XML and XMLA
• Knowledge and direct experience working with Azure Purview, Azure DevOps (formerly MTFS), SharePoint, PowerApps, and the M365 platform
• Ability to function under close deadlines with minimal supervision and under potentially stressful situations
• Superior oral and written communication skills; capacity to explain complex solutions to non-technical business, process, and solution owner-partners internally, along with corporate executives, directors, managers, staff, and contractors
• Both educate and inform to a wide range of audiences; advanced documentation skills to track feedback and action items through the entire project lifecycle
• Nights, weekends, and non-regular hours may be required to deploy and make ready solutions that require support and collaboration from resources globally

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