Data Engineer

Description

Requires knowledge of Data quality management techniques and standards

Business metadata definitions and content data definitions;

Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools;

Understanding of user's data consumption, data needs, and business implications

Data modeling, storage, integration, and warehousing

Data quality framework and metrics

User access best practices

Enterprise data architecture, modeling and design, storage, integration, and warehousing

Enterprise data quality framework and metrics;

Enterprise data strategy;

Enterprise data quality strategy;

Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation.

To promote and educate others on data quality awareness.

Profile, analyze, and assess data quality. Test and validate data quality requirements.

Continuously measure and monitor data quality.

Deliver against data quality service level agreements. Manage operational Data Quality Management procedures.

Manage data quality issues and leads data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data.

Determine user accessibility and removes or restricts user access as needed.

Interpret company and regulatory policies on data.

Educate others on data governance processes, practices, policies, and guidelines.

Education: Bachelors Degree