Senior Data Engineer
Summary
Build and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory, optimizing data models and performance for a remote role based in India.
🚀 We’re Hiring: Senior Data Engineer | Remote
We are looking for experienced Data Engineers with strong expertise in Databricks and modern data engineering technologies. The ideal candidate will have hands-on experience building scalable data pipelines, processing large datasets, and optimising data platforms.
Position: Senior Data Engineer
Experience: 7+ Years
Work Mode: Remote
⚡ Joining: Immediate Joiners Preferred
⏰ Shift Timing: 12:30 PM – 9:30 PM IST
- Databricks
- PySpark
- Python
- SQL
- Microsoft Fabric
- Azure Data Factory (ADF)
- DataOps Practices
- Performance Optimization
- Build and maintain scalable data ingestion and processing pipelines
- Work extensively with Databricks and PySpark for big data processing
- Develop efficient solutions using Python and SQL
- Design and implement analytical data models
- Work with Microsoft Fabric and Azure Data Factory
- Follow DataOps best practices for reliable data delivery
- Optimise data pipelines, queries, and overall platform performance
Interested candidates: Please DM me or share your updated resume.
- If you have strong Databricks + PySpark + Microsoft Fabric expertise and are available to join immediately, we’d love to connect!