Description

You own data quality, metadata documentation, and validation within the data architecture.

This role is on-site.

Responsibilities

• Assess data quality and metadata across the enterprise data architecture.
• Perform data profiling, analysis, and documentation of data quality issues.
• Develop automated data validation rules to enhance data accuracy.
• Recommend data cleansing and remediation strategies.
• Collaborate with data architects and modelers on enterprise data management initiatives.

Required Skills

• 5+ years experience in metadata discovery and documentation.
• 5+ years proficiency in data profiling and data quality assessment.
• 3+ years advanced skills in SQL and Python.
• 5+ years experience with data profiling tools and database environments such as Oracle, SQL Server, or DB2.
• Strong analytical, organizational, and communication skills.
• Any Graduate education level.

Key Skills

Education

Any Graduate