We are looking for a Data Engineer to join our Data Engineering Center of Excellence (CoE), responsible for designing, building, and scaling robust data pipelines and data products on Databricks using PySpark and Python.
Requirements
- Design, develop, and maintain scalable data pipelines in Databricks using PySpark
- Build data products that support machine learning, MLOps, and analytics use cases
- Work with data stored in ADLS Gen2 and SAP HANA Data Lake (Delta/Parquet formats)
- Implement and maintain data quality checks (schema validation, deduplication, enrichment, tagging)
- Collaborate with ML engineers, data scientists, and business stakeholders to translate requirements into data solutions
- Contribute to engineering best practices, including version control, CI/CD, testing, and monitoring
Benefits
- Constant learning and skill growth
- Great benefits
- Wellbeing and flexibility
- Inclusive and diverse work environment
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