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Data Engineer - Semantic Modeler - Bayer
Data Engineer
Lead the design and implementation of semantic data models, building robust ETL pipelines and data warehouses using Python, SQL, Spark, and AWS services to enable advanced analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain semantic data models that support business intelligence and analytics initiatives.
- Build and optimize ETL pipelines using Python, SQL, and Apache Spark to ingest, transform, and load data into data warehouses.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into scalable solutions.
- Ensure data quality, consistency, and governance across all data assets.
- Leverage AWS services (e.g., Redshift, S3, Glue) to deploy and manage data infrastructure.
Requirements
- 3+ years of experience in data engineering with a focus on semantic modeling.
Skills
pythonsqlawsapache spark