data engineer in pharma/biotech

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вакансия зп не указана

в среднем 305 125 ₽

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ai-инструменты

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Candidates outside the European Union are not considered.

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Build and maintain multi-layer pipelines (Landing → Raw → Enriched → Curated) on Azure Databricks using Spark and Delta Lake
Orchestrate pipelines via Databricks Jobs/Workflows, including dependencies, retries, and alerting
Implement batch and API-based data ingestion
Apply schema enforcement, handle schema drift, and run data quality checks at ingestion
Use dbt for pipeline observability and data governance
Monitor job failures, data freshness, and pipeline health against SLA targets
Set up alerts, logging, and retry strategies for production pipelines
Work within controlled Dev/Test/Prod environments, including access control, audit trails, pipeline documentation, and traceability to requirements
Contribute to CI/CD and MLOps/AI pipelines on Databricks

Strong hands-on experience with Azure Databricks, Spark, and Delta Lake
Experience with multi-layer pipelines (Landing → Raw → Enriched → Curated)
Experience with schema enforcement and schema-drift handling
Experience with data quality checks at ingestion
Experience orchestrating pipelines via Databricks Jobs/Workflows, including dependencies, retries, and alerts
Experience with batch and API-based data ingestion
Strong hands-on experience with dbt
Experience monitoring job failures, data freshness, and pipeline health
Experience with SLA-based data delivery
Experience with alerts, logging, and retry strategies
Knowledge of access control models, audit trails, lineage, and traceability
Experience with data contracts, pipeline documentation, and controlled environments (Dev/Test/Prod)
EU residency required; candidates outside the European Union are not considered
English proficiency: B2+
Будет плюсом: Git-based development, CI/CD pipelines for data workflows, MLOps/AI pipelines on Databricks, exposure to GxP, clinical trials, or pharmacovigilance, strong SQL engineering and modular reusable dbt models, dimensional modeling (star schema, OBT, curated marts), Tabular Editor, Power BI, pharma/biotech industry experience

azure databricks spark delta lake dbt sql power bi tabular editor data pipelines data quality data governance ci/cd mlops

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