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RLDatix

Technical Data Migration Consultant

Reposted 24 Days Ago
Be an Early Applicant
Hybrid
Melbourne, Victoria, AUS
Mid level
Hybrid
Melbourne, Victoria, AUS
Mid level
The Technical Data Migration Consultant will manage healthcare data migration projects by extracting, transforming, and loading data while ensuring accuracy and collaboration with stakeholders.
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RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we’re connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.

Technical Data Migration Consultant | Data Services Group | Melbourne, Australia | Hybrid

 RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it.
Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day.
We’re searching for a Melbourne-based Technical Data Migration Consultant to join our Data Services Group team, so that we can successfully deliver high-quality healthcare data migration projects for our clients. The Technical Data Migration Consultant will extract, transform, and load healthcare data while collaborating with stakeholders to ensure seamless system transitions and accurate data outcomes.

How You’ll Spend Your Time

  • Develop, test, and execute data conversions using SQL and ETL techniques to ensure seamless migration between healthcare systems
  • Analyse healthcare data in formats such as HL7, CDA, CSV, and SQL in order to support accurate extraction, transformation, and loading
  • Create and maintain complex SQL scripts to convert data from multiple source systems to target EHR platforms
  • Facilitate stakeholder meetings to gather requirements, provide updates, and ensure successful delivery of data migration projects
  • Perform quality assurance checks on data to validate integrity, identify issues, and reconcile converted datasets for accuracy

What Kind of Things We’re Most Interested in You Having

  • 3+ years’ experience working with healthcare data and EHR/EMR systems
  • Proven success in delivering data migration or data conversion projects within healthcare environments
  • In-depth knowledge of SQL Server, T-SQL scripting, and data transformation processes
  • Ability to commute to our Melbourne office on a hybrid basis
  • Sincere interest in improving healthcare outcomes through data accuracy and system transformation
  • A knack for working collaboratively with stakeholders while managing tasks independently in a fast-paced environment

By enabling flexibility in how we work and prioritising employee wellness, we empower our team to do and be their best. Key benefits include private health and group accident insurance, an Employee Assistance Program (EAP) for confidential support, and Loyalty Awards for long-service employees.

RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, colour, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by law. We welcome applications from people of all backgrounds and strongly encourage Aboriginal and Torres Strait Islander peoples to apply.

As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to [email protected].

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organisational factors are also taken into consideration.

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