Data Engineer
Core
Design, build, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and process large-scale structured and unstructured data for business insights.
Role type
Senior Data Engineer
Builds
End-to-end data pipelines, data models, and integration solutions for advanced analytics
Domain
Big Data Engineering / Cloud Data Platforms (via careerplan.io/jobs/R-244078-data-engineer-at-amgen)
Deliverable
production ML models | product features
Required skills
PySpark, SQL, Databricks, ETL/ELT, data modeling, data governance, cloud platforms (AWS), workflow orchestration, performance tuning
Preferred skills
Python, Apache Airflow, SageMaker, data protection regulations (GDPR/CCPA), multi-source integration (APIs, cloud storage)
Technologies
Databricks, PySpark, SQL, AWS, Apache Airflow, SageMaker
Responsibilities
Design and develop data pipelines leveraging Databricks and PySpark; implement automated workflows for data ingestion and deployment; optimize Spark job performance; build integrations with SQL databases, APIs, and cloud storage; manage data quality and documentation; collaborate with Data Architects and Data Scientists on end-to-end solutions.
Seniority
Mid-to-Senior, hands-on IC
