Data Engineer
Key Responsibilities:
Design, develop, and maintain ETL/ELT pipelines using Informatica to move data into Snowflake .
Develop and optimize data models, schemas, and views within Snowflake.
Implement and monitor data ingestion, transformation, and quality assurance processes.
Ensure all solutions comply with HIPAA/HITECH and organizational security standards.
Support HL7, FHIR, and X12 EDI interoperability initiatives.
Collaborate with data analysts and business teams to fulfill reporting and analytics requirements.
Document data flows, metadata, and transformation logic for transparency and traceability.
Required Skills:
3–5+ years of experience in data engineering or ETL development .
Strong proficiency with Snowflake , Informatica (PowerCenter/IICS) , and SQL .
Deep understanding of data warehousing, data governance, and data quality principles.
Experience with structured/semi-structured data (JSON, XML, CSV).
Familiarity with AWS, Azure, or GCP storage and services.
Preferred Qualifications:
Scripting experience with Python for automation.
Hands-on experience with IDQ, Data Catalog, Git , and CI/CD pipelines .
Snowflake or Informatica certification(s) highly desirable.
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