Description

You will own the processes ensuring data quality across the enterprise.

Responsibilities

• Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
• Develop and maintain automated data quality rules and validation logic using T SQL and stored procedures.
• Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
• Define, enforce, and monitor data quality standards, business rules, and governance policies.
• Build dashboards and reports for data quality KPIs using Power BI or Tableau.

Required Skills

• 5+ years of experience in data quality analysis or engineering.
• Advanced T SQL and SQL Server development, debugging, and performance tuning.
• SSIS development, deployment, and troubleshooting.
• Data profiling, validation rule design, and quality scoring techniques.
• ETL/ELT pipeline design, debugging, and optimization.
• Data modeling (conceptual, logical, physical).
• Metadata management and lineage documentation.
• Reporting and dashboarding with Power BI or Tableau.
• Familiarity with AI/ML data readiness.

Preferred Skills

• Knowledge of DAMA DMBoK, DCAM, or MDM concepts.
• Experience in low maturity or green field data environments.
• Exposure to Azure, Databricks, or GCP cloud data engineering.

Key Skills

Education

Bachelor's degree