Evaluate large datasets for data quality, identify trends, and implement quality checks
Job Summary
Evaluate large datasets for data quality, identify trends, and implement quality checks.
Manage, design, and implement processes and strategies for Extract, Transform, and Load (ETL)/Data Load & Data Integration-based data quality assessment and controls.
Create, monitor, and maintain data quality performance indicators on Power BI DQ reports.
Matching Summary
Evaluate large datasets for data quality, identify trends, and implement quality checks.
Salary
$164,505.00-$174,505.00 per year
Skills & Requirements
Must-have
Informatica Data Quality Tools
Monte Carlo Data Quality Tools
Power BI DQ reports
Python scripting for DQ
SQL and Teradata data management
SOAP UI for API automation
Data Quality rules and dimensions
Nice-to-have
Machine learning for anomaly detection
DQ observability
Collaboration with platform administration
Stakeholder requirement communication
Key Requirements
Master's degree + 3 years experience OR Bachelor's degree + 5 years experience
Experience with data profiling on large datasets
Experience creating custom data quality frameworks
Experience developing data observability alerts
Experience developing API code for data extracts
Experience developing data quality dashboards
Experience automating data reconciliation tasks
Experience developing machine learning models for data anomalies