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etl sql python data integration data qualityπ Description
- Own end-to-end client data exchange lifecycle from discovery to optimization for feeds.
- Own data quality standards across completeness, timeliness, and accuracy; define controls and monitor.
- Lead client workshops to elicit requirements; translate to user stories and specs.
- Design and maintain source-to-target mappings with transformation rules and data lineage.
- Build and monitor controls and SLA dashboards; remediate risks before SLAs are impacted.
- Primary client-facing owner for data integration performance; manage escalations and timely resolution.
π― Requirements
- Bachelor's or master's in quantitative/analytical; equivalent experience accepted.
- 8+ years of healthcare data integration experience.
- Proven expertise in SQL and relational databases.
- Experience with dashboarding tools or Python for data analysis.
- Flexibility to support on-call rotations and time-critical deliverables.
- Strong client-facing communication and stakeholder management skills.
π Benefits
- Flexible hybrid work model with on-site days as needed (Puerto Rico).
- Mentoring teammates on standards and operational excellence.
- Collaboration with Product and Engineering on enhancements and release readiness.
- Equal employment opportunity and inclusive culture.
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