Senior Data Engineer at Zifo · Remote (United States)
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AWS
A time you used AWS: the problem, what you did yourself, and what happened.
From the ad's requirements
FastAPI
A time you used FastAPI: the problem, what you did yourself, and what happened.
From the ad's requirements
Python
A time you used Python: the problem, what you did yourself, and what happened.
From the ad's requirements
Airflow
A time you used Airflow: the problem, what you did yourself, and what happened.
From the ad's requirements
Build ingestion pipelines for clinical trial protocols, ICF documents, SmPCs, CSRs, and published articles (PubMed, CTIS, ClinicalTrials.gov
An example from your own work that shows this.
From the ad's requirements
Design and implement data models in Amazon Aurora (relational) and GraphDB (knowledge graph) to represent trial design entities: endpoints,
An example from your own work that shows this.
From the ad's requirements
Develop embedding and vectorization pipelines to prepare extracted clinical text for RAG-based retrieval in LangGraph agentic workflows - ch
An example from your own work that shows this.
From the ad's requirements
Build and maintain ETL/ELT workflows that transform unstructured clinical content into queryable, linked data across both relational and gra
An example from your own work that shows this.
From the ad's requirements
Implement data quality validation specific to clinical data - protocol section classification accuracy, entity extraction completeness, cros
An example from your own work that shows this.
From the ad's requirements
Set up data lineage tracking and audit trails to support regulatory traceability of AI-generated trial design recommendation
An example from your own work that shows this.
From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
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Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Core skill.
How to answer: Ingestion, storage, orchestration, idempotency, backfills, monitoring.
Why they ask: Data correctness.
How to answer: Watermarks, dedup keys, reprocessing windows.
Why they ask: AWS is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: FastAPI is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them