Data Engineer, PDS&T CMC
North Chicago, IL, United States
USD 73K-138K (estimate) Entry-level Full Time
Tasks
- Architect feature stores and curated datasets
- Build CI/CD pipelines and automated testing
- Build batch and real time streaming pipelines
- Build governed versioned data products for AI ML
- Create data catalogs and access control
- Design data ingestion pipelines
- Develop harmonized data models and ontologies
- Ensure data governance for regulated compliance
- Establish pipeline observability monitoring and alerting
- Implement data quality controls and anomaly detection
- Implement infrastructure-as-code
- Integrate manufacturing and CMC source systems
- Maintain data lineage and metadata infrastructure
- Perform semantic mapping to enterprise standards
- Provide production support for pipeline uptime and freshness
- Translate model data requirements into data infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
21 CFR | 21 CFR Part 11 | AWS | AWS Glue | Apache Airflow | Apache NiFi | Apache Spark | Azure | Azure Data | Azure Data Factory | CFR Part 11 | CI/CD | Cloud Data | Cloud Data Platforms | DBT | Data Factory | Data Governance | Data Ingestion | Data Lineage | Data Management | Data Modeling | Data Observability | Data Quality | Data integration | Data platforms | Databricks | ELT | ETL | GCP | GraphQL | GxP | Informatica | Infrastructure as Code | MDM | Master Data | Master Data Management | Metadata Management | Microservices | OData | Ontologies | Part 11 | Python | REST | SQL | Semantic mapping | Snowflake | Talend | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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