Data Quality Engineer

Responsibilities:

• Work in conjunction with Developers and Data Engineers to ensure high quality Data Deliverable.
• Working with the development teams from different groups in the organization, help identify inconsistent data patterns, and how they are manifested from the source processes.
• Design, implement and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
• Perform ongoing monitoring and refinement of the Data Lakehouse.
• Maintain data standards, enforce standard development protocols, and analyze requirements to ensure technical and standard operating procedure impacts are considered.
• Limit non-standard solutions and escalate when used with documentation supporting exception requirements.
• Assist report writers and data visualization and team members with data sourcing.
• Analyze complex data systems to develop automated and reusable solutions for extracting requested information while assuring data validity and integrity.
• Perform tasks spanning the full lifecycle of data management activities.

Key Skills:

• Attention to detail. 
• Analysis/Critical thinking/Problem-solving skills. 
• Communication skills. 
• Ethics. 
• Interpersonal skills. 
• Math skills.

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