Databricks Data Engineer: Scalable Pipelines & Real-Time Data
Design, build, and maintain scalable data pipelines on Databricks and cloud platforms, integrating diverse data sources and supporting analytics, reporting, and machine-learning workloads. The role emphasizes scheduling, governance, monitoring, reliability, and real-time data processing.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Design, develop, and maintain scalable data pipelines on Databricks
- Experience with cloud platforms
- Integrate diverse data sources and ensure data quality
- Support analytics, reporting, and machine learning workloads
Nice to have
- Build scheduling and real-time processing capabilities
- Contribute to data platform governance, monitoring, and reliability
Full description
Elitez India is seeking a Data Engineer to design, develop, and maintain scalable data pipelines on Databricks and cloud platforms. You will integrate diverse data sources, ensure data quality, and support analytics, reporting, and machine learning workloads.
You will collaborate with analytics, product, and infrastructure teams to advance the data platform, governance, monitoring, and reliability. The role emphasizes building robust pipelines, scheduling, and real-time processing capabilities.