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- Designs, implements, and maintains complex data engineering solutions to acquire and prepare data.
- Creates and maintains data pipelines to connect data within and between data stores, applications, and organisations.
- Carries out complex data quality checking and remediation.
- Contributes to organisational policies, standards, and guidelines for data engineering.
- Designing and implementing highly performant data ingestion & transformation pipelines from multiple sources using Azure services.
- Familiar with Dynamic 365 data model.
- Deep technical expertise in Data Engineering including in-depth knowledge of Data Engineering practices, including Data Storage, Data Visualization, ETL, Data Integration & Migration, Data Warehousing, and Business Intelligence.
- Strong communication skills with the ability to develop thought leadership materials, including whitepapers, blogs, webinars, etc.
- Experience in capacity planning and succession planning to manage workloads effectively.
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Skills
Data Engineering
Azure Services
ETL
Data Integration
Data Migration
Data Warehousing
Business Intelligence
Data Visualization
Data Storage
Data Quality Checking
Data Pipelines
Dynamic 365 Data Model
Capacity Planning
Succession Planning
Communication Skills
Location