Description

Key Skills: Data Engineer, Azure

Roles and Responsibilities:

• Build and maintain data pipelines on Azure for ingestion, transformation, and delivery of datasets.
• Develop PySpark jobs for scalable data processing and implement efficient transformations.
• Design data models and manage data storage patterns to support analytics and downstream consumption.
• Implement data quality checks, monitoring, and troubleshooting to ensure pipeline reliability.
• Collaborate with analytics and engineering teams to support data requirements and optimize performance.

Skills Required:

• 5 - 12 years of relevant experience in data engineering
• Azure (data services and pipeline development on Microsoft Azure)
• Scalable data processing using PySpark
• Performance tuning for large-scale data transformations
• Deployment and operational readiness for data pipelines (monitoring and troubleshooting)

Good to Have:

• Experience as a Data Engineer delivering end-to-end data platform capabilities

Education: Relevant degree in Computer Science, Engineering, or a related field

Key Skills

Education

Any Graduate