What are the responsibilities and job description for the Data Quality Engineer. position at ADPMN Inc?
Job Details
JobTitle :: DataQuality Engineer.
Location:: Remote
Duration:: Long term
Overall Goal:
Tobuild a scalable, automated, and efficient AI ecosystem that integrates AIagents, ML pipelines, and big data technologies to enhance AI-drivendecision-making and enterprise AI capabilities.
Primary Responsibilities:
- Support the implementation and adoption of enterprise data quality and management products.
- Collaborate with data owners and stakeholders to define and enforce data quality standards.
- Develop and implement data cleansing strategies to address identified data quality issues.
- Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues.
- Work on optimizing data architectures for improved data quality and performance.
- Utilize cloud platforms like Azure, AWS or Google Cloud Platform to deploy and manage data quality solutions.
- Document data quality issues, root causes, and remediation steps.
- Generate regular reports on data quality metrics and communicate findings to relevant stakeholders.
Requirements:
- Proven experience as a Data Quality Engineer or in a similar role.
- Strong knowledge of data engineering principles and best practices.
- Experience implementing lineage and data governance across the data platform.
- Hands-on experience with Azure cloud platform.
- Familiarity with AI concepts and tools is preferred.
- Proficiency in programming languages such as Python, SQL, or Java.
- Excellent problem-solving and analytical skills.
- Knowledge of Validio data quality and observability software preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
