Principal Vector Data Engineer
Johnson & Johnson
PythonPyTorchScikit-LearnTensorflow
Job Level
Senior
Tech Stack
AzureETLPySparkSparkSQL
About the role
- Design and build ETL/ELT pipelines from SAP S/4, Salesforce, ByDesign, and others
- Turn raw data into useful insights through transformation processes
- Ensure data is accurate, consistent, and always available
- Optimize environments for better speed and lower costs
- Help domain teams build and manage their own pipelines
- Collaborate with talented colleagues and cross-functional teams
- Work with Databricks, dbt, Azure services, Data Lake and Delta Lake
- Influence how companies use data to make smarter decisions
Requirements
- 5+ years of hands-on experience as a Data Engineer
- Deep knowledge of Azure Databricks with Spark and PySpark
- Experience with cluster tuning and integration with Data Lake and Delta Lake
- Strong skills in dbt Core for SQL models, tests, and documentation
- Experience with pipeline orchestration using Databricks Jobs and Azure Data Factory
- Ability to handle incremental loads and fine-tune performance
- Hands-on experience with GitHub CI/CD workflows
- Solid understanding of Azure services and ecosystem
- Knowledge of data governance, schema enforcement, and lineage
- Clear communicator and collaborative team player
- Bachelor’s or Master’s degree in Computer Science, Engineering, or similar
- Strong communication skills in English
- German or French would be a plus
- EU citizen or valid Spanish work visa
