Senior Consultant - Python/DBT (Data Engineering)

Python / dbt (Data Engineering)

Must Have

• Total years of experience in Python Data Engineering minimum 4+ years
• Core Python (data structures, OOP, scripting, packaging) 4+ years
• HL7 FHIR resource modeling, profiles, IG mapping, FHIR APIs 3+ years
• Healthcare data standards HL7 v2/v3, CCDA, EDI (837/834/835/PHONE_NUMBER) 3+ years
• GenAI / LLM development prompt engineering, RAG, LangChain / LlamaIndex 1+ years
• Vector databases embeddings at least 1 year
• ML/NLP frameworks 1+ years
• RESTful services API integration at least 4 years
• FHIR servers / platforms HAPI FHIR / Smile CDR / Google Healthcare API at least 1 year
• Any cloud service (GCP, AWS, Azure) 1 year (GCP / Vertex AI preferred, Optional)
• dbt (data build tool) models, tests, macros, snapshots, documentation 2+ years
• Advanced SQL data modeling (dimensional / star schema, SCDs) 3+ years
• ELT/ETL pipeline development data transformation (Good to have)
• Workflow orchestration Airflow / Dagster / Cloud Composer (Good to have)
• Python data libraries Pandas / PySpark / NumPy 4+ years
• Version control CI/CD for data (Git, GitLab CI, dbt Cloud/Core deployment) at least 1 year
• Any cloud service (GCP, AWS, Azure) 1 year (GCP preferred, Optional)
• Any messaging/streaming tool like Kafka / Pub/Sub at least 1 year (Optional)
• Good communication skills
• Development methodologies Scrum / Agile
• Strong database development tools knowledge
• Knowledge on requirement analysis creating design/data-mapping documents
• Knowledge on data quality, testing validation frameworks (dbt tests, Great Expectations)
• US healthcare domain knowledge (payer/provider interoperability, CMS-0057-F, prior auth)