Senior Data and Analytics Engineer
Core
Design, build, and deliver scalable, secure, and high-performing analytics and data engineering solutions for the Operations (Supply Chain) organization, enabling business intelligence and AI use cases.
Role type
Senior hands-on IC data and analytics engineer
Builds
Production-grade data pipelines, data products, and modern data warehouse/lakehouse architectures
Domain
Supply Chain / Operations / Cloud Data Engineering
Required skills
SQL, Python, PySpark, Scala, Apache Spark, AWS Glue, Amazon EMR, Amazon Redshift, Apache Iceberg, Apache Airflow, dbt, AWS Step Functions, CI/CD, Infrastructure-as-Code, Data Modeling, Data Governance
Preferred skills
Streaming technologies (Kinesis, Kafka), AWS Lake Formation, API development, Semantic modeling
Technologies
Amazon S3, Apache Iceberg, AWS Glue Data Catalog, Amazon EMR, Amazon Redshift, Redshift Spectrum, Apache Airflow, dbt, AWS Step Functions, Alation
Responsibilities
Design and develop batch and streaming data pipelines; Implement medallion architecture and dimensional modeling; Engineer data ingestion and orchestration; Embed data quality controls and governance; Establish DevSecOps practices; Provide technical leadership and partner with business stakeholders.
Seniority
Senior, hands-on IC
