As a Data Engineer at dsm-firmenich, you design and maintain robust data pipelines to enable reliable data ingestion, transformation, and storage. You will work closely with data modelers, scientists, and business partners to deliver scalable, high-quality data solutions. This role offers exposure to cutting-edge tools in a dynamic, science-driven environment and impactful projects that support the company’s mission to improve health and beauty outcomes. You will drive data quality, performance, and continuous improvement, shaping how data informs decisions at scale.
Compensaciones / Incentivos
- unique career paths across health, nutrition and beauty
- impact millions of consumers
- growth opportunities
- collaborative culture
- inclusive and equal opportunity
- learning and mobility across businesses
Responsabilidades
- Design and implement pipeline architectures for data ingestion, transformation, and storage
- Develop modular,
efficient code for data transformation and integration
- Perform data ingestion from source systems including ETL when tables are not on the data platform
- Conduct regular pipeline maintenance and upgrades, troubleshoot and resolve issues
- Implement data quality testing and validation to maintain data integrity
Requisitos principales
- 5+ years’ experience in creating and maintaining data pipelines
- Expert knowledge in SAP, SQL, Python, Spark, Git, Databricks, and dbt
- Strong problem-solving skills
- Ability to collaborate with data modelers for seamless data integration and transformation
- Proficiency in modern development practices and data quality testing
- Commitment to continuous learning and improvement