Description

You will lead the design, development, and deployment of scalable data solutions within the Azure ecosystem.

Responsibilities

• Design and implement ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and PySpark.
• Manage and monitor Azure Functions for event-driven data processing.
• Drive end-to-end data lifecycle processes from ingestion to consumption.
• Mentor junior data engineers and oversee technical delivery.
• Collaborate with stakeholders, data scientists, and analysts to define data strategies and requirements.

Required Skills

• 10 to 15 years of experience in Data Engineering.
• 3+ years in a technical leadership role.
• Expertise in Azure Data Factory and Azure Databricks.
• Proficiency with PySpark and Azure Functions.
• Deep understanding of Azure Cloud services and architecture.
• Strong knowledge of data modeling and data warehousing.
• Experience implementing data governance practices.
• Proven ability to lead complex, end-to-end data projects.
• Any Graduate degree.

Key Skills

Education

Any Graduate