Rimes is seeking a Data Engineer to build scalable and reliable data pipelines that power analytics, operational workflows, and data-driven decisions across the company. The ideal candidate will have 1-3 years of experience in data engineering or analytics engineering, proficiency in Python & PySpark, strong SQL skills, and data modeling expertise.
Requirements
- 1-3 years in data engineering or analytics engineering with end-to-end pipeline delivery in production
- Proficiency in Python & PySpark for distributed data processing
- Strong SQL for analytical and transformation logic
- Data modeling skills for both analytics and operational use cases
- Experience with data ingestion from APIs, databases, external feeds, and real-time sources
- Solid grasp of data quality, testing, observability, lineage, and governance practices
Benefits
- Private Medical Insurance
- Private Provident Fund
- 26 days of annual leave
- 5 days paid sick leave
- Breakfast and snacks
- Smoothie Fridays