Optimizing large-scale entity resolution capabilities in a complex Big Data environment comprised of many large disparate datasets.
Examining Oracle data via database applications and SQL to identify incoming data that has violated quality standards such as validity, accuracy, completeness, consistency, or uniformity.
Identifying and correcting data quality or internal processing issues, and submitting data for reprocessing.
Recommending automation and process improvements to reduce/eliminate future data quality issues and/or minimize the need for manual intervention.
Recommending enhanced measures of data quality that can be used to inform the Sponsor’s overall data strategy.
Maintaining consistent, proactive, and timely communication with Sponsor management and other internal stakeholders, particularly in regards to data quality issues, and events that may impact other mission capabilities.
Preparing and presenting reports, deliverables, and briefings as required.
Collaborating with teammates, internal technical teams, vendors, Sponsor management, and analysts to build relationships and achieve objectives.
