Description
Responsibilities:
Managing the complete Data Lifecycle, from where data is generated to ETL pipelines and data enablement.
Data Architecture & Infrastructure: understanding the technical architecture/infrastructure that supports the organization's data needs, including storage, integrations, and analytics platforms.
Task Prioritization: working with technical and business teams to understand their data needs and priorities and effectively communicate the value of data initiatives. Prioritizing tasks and defining the roadmap, balancing competing demands from different stakeholders.
Data Profiling: understanding the data types, relationships, patterns, and trends to understand the data ...
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