Principal Data Engineer – Data & Analytics (global Supply Chain)
Amgen Inc
Not specified; not specified; not specified
12-17 years experience in it or computer science
Hands-on databricks pyspark and sparksql expertise
Aws services s3 emr lambda glue athena redshift
This role acts as a technical architect and hands-on lead for Data Engineering practices across the Smart Supply Chain initiative within Amgen
Job Summary
This role acts as a technical architect and hands-on lead for Data Engineering practices across the Smart Supply Chain initiative within Amgen.
The ideal candidate will architect, build, and optimize enterprise-grade data pipelines using Databricks and AWS-native services to ensure data is accessible and reliable.
Candidates must have strong problem-solving skills and the ability to collaborate with cross-functional teams including Data Architects and Business SMEs.
Matching Summary
This role acts as a technical architect and hands-on lead for Data Engineering practices across the Smart Supply Chain initiative within Amgen.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
12-17 years experience in IT or Computer Science
Hands-on Databricks PySpark and SparkSQL expertise
AWS services S3 EMR Lambda Glue Athena Redshift
Proficiency in SQL and Python for data analysis
Experience with DevOps Git CI/CD Jenkins IaC
Strong background in data modeling and governance
Nice-to-have
SAP ECC tables and Supply Chain data domain knowledge
Vector stores and AI-enablement for downstream analytics
Machine Learning model development experience
Agile SAFe environment working with global teams
Databricks or Cloud Data Engineer certification
Experience with unstructured data processing
Key Requirements
12-17 years of professional experience required
Deep understanding of data architecture and ETL processes
Certified Data Engineer preferred on Databricks or cloud environments