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Data Engineer
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Full-time
- Analyze existing business practices, processes, and procedures, identifying opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services.
- Construct Azure Data Pipelines using Databricks for efficient data processing.
- Present data to end users through Power BI or other modern visualization platforms.
- Proficiency in conducting data profiling, cataloging, and mapping for technical design and construction of data flows.
- Experience with ETL/ELT tools such as AWS Glue, Azure Data Factory, Talend, and EAI.
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