Description

Key Skills: ADF, Python, Data Engineering, Azure Databricks, Azure Cloud, Azure Synapse

Roles and Responsibilities:

• Design and implement data engineering solutions on Azure, including scalable ingestion and transformation pipelines.
• Build and optimize cloud-based data solutions to support analytics, reporting, and data consumption use cases.
• Develop, test, and maintain data workflows with a focus on reliability, performance, and data quality.
• Collaborate with stakeholders to translate data requirements into technical designs and deliverables.
• Monitor pipeline health and troubleshoot data processing issues to ensure timely and accurate data delivery.

Skills Required:

• 8-12 years of relevant experience in data engineering on cloud platforms
• Azure cloud services for building and operating data solutions
• Data engineering experience across the data pipeline lifecycle
• Cloud-based data solutions development with a focus on scalability and reliability
• Hands-on delivery of production-grade data workflows (ingestion, transformation, and data delivery)

Good to Have:

• Python
• SQL
• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics

Education: Bachelor's Degree in Computer Science, Master's Degree in Computer Science

Key Skills

Education

Any Graduate