- 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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