Description

You will drive the development and reporting of data quality rules across 60+ sources using an in-house framework on Azure cloud.

Responsibilities

• Analyze business requirements to identify data quality needs and provide system enhancement recommendations.
• Develop and implement data quality rules at the source, file, and column tiers with defined thresholds.
• Build reports and dashboards to communicate data quality metrics to stakeholders.
• Prioritize data sources for rule definition based on business requirements and technical capability.
• Manage and assign a backlog in Azure DevOps at the PI and Sprint iteration levels.
• Investigate detected data issues for business units and drive them to resolution.

Required Skills

• 4+ years of experience in data analysis.
• 4+ years of experience working with Python and SQL.
• 4+ years of experience with Power BI.
• Proficiency with Azure DevOps for backlog management.
• Strong understanding of enterprise data movement and flows.
• Meticulous analytical skills with high attention to detail.
• Any Graduate degree.

Preferred Skills

• Experience with PySpark, Pandas, or Databricks.
• Experience with C#, .NET, JavaScript, or GUI development.

Key Skills

Education

Any Graduate