Senior Data Engineer - Healthcare DW & Azure
SCI SOLUTIONS GLOBAL
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Job summary
SCI Solutions Global is seeking a Senior Data Engineer to design and implement enterprise data warehousing solutions and robust ETL pipelines. Experience with HL7 and FHIR in healthcare data integration is essential.
Proficiency with Azure data services and Databricks will drive data processing across structured and unstructured data. The role emphasizes hands-on development, data modeling, and adherence to governance standards, with a focus on scalable data architectures for healthcare
Qualifications
- 8+ years of experience in Data Engineering with a focus on data warehousing.
- 5+ years with Azure Data Factory and Databricks.
- 5+ years ETL experience with Informatica PowerCenter, SSIS or ADF.
- 5+ years Oracle, Snowflake or SQL Server experience.
- 5+ years developing stored procedures: PL/SQL, T-SQL, or Snowflake SQL.
- 3+ years Python programming.
- 3+ years Azure DevOps, GitHub, or SVN.
- 2+ years working with structured and unstructured data.
- Hands-on experience processing HL7 and FHIR files.
- 3+ years preparing ETL specifications from business and technical requirements.
- 3+ years batch scripting or PowerShell.
- 3+ years data warehouse modeling.
- Bachelor's degree in CS/IT/Engineering or related field.
Skills
Education
Tools
Job description
SCI Solutions Global is seeking a Senior Data Engineer to design and implement enterprise data warehousing solutions and robust ETL pipelines. Experience with HL7 and FHIR in healthcare data integration is essential.
Proficiency with Azure data services and Databricks will drive data processing across structured and unstructured data. The role emphasizes hands-on development, data modeling, and adherence to governance standards, with a focus on scalable data architectures for healthcare
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