Department
Dean, Optometry
Salary
Commensurate with experience
Description
This role involves analyzing, developing, and modifying complex application programs with minimal supervision. The candidate may also support enterprise systems.
Codes, tests, debugs, modifies, and troubleshoots application programs and ad-hoc programs according to shop standards.Analyzes complex application processes and integrated computer systems, identifying and resolving problems.Defines, analyzes, and documents business processes, practices, and requirements.Assists users in testing business processes and monitors system test procedures.Provides technical assistance and training to junior staff.Documents tables, data structures, run streams, and programs per accepted practices.Develops technical documents on system design and programming; creates user manuals.Uses non-core technologies like voice responses, EDI, and web interfaces to design, code, test, and troubleshoot systems.Learns new technologies and techniques.Performs other related duties as assigned.Additional Posting Information
Experience can substitute for education and vice versa.
Minimum Qualifications
Thorough understanding of theoretical and practical aspects of an analytical, technical, or professional discipline. Typically obtained through a 4-year degree or equivalent specialized training. At least three (3) years of relevant experience required.
Basic Qualifications
- Preferably 3+ years experience designing and implementing large-scale Data Lake and Data Warehouse solutions in the cloud.
- Experience with query languages (SQL, HiveQL, SPARQL), schema definition languages (DDL, SDL, XSD, RDF), and scripting languages (Python, Scala).
- Understanding of distributed system concepts, data persistence solutions, data integration techniques, database optimization, and join algorithms.
- Experience with CI/CD automation for data lakes using tools like CDK or Terraform.
Preferred Qualifications
- Experience with AWS services such as Athena, Glue, Lake Formation, Step Functions, Lambda, S3, DynamoDB, RDS, EMR, Redshift.
- Experience with healthcare data formats like HL7/FHIR, genomics, and medical imaging data.
- Understanding healthcare infrastructure and security requirements.
- Knowledge of industry-standard database and analytical technologies, including MPP, NoSQL, Data Warehouse design, and BI operations.
All positions require a criminal history check. The University of Houston System is an Equal Opportunity Institution.
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