Description

Design, build, and maintain scalable data pipelines and analytics solutions within the Azure ecosystem.

This role is on-site.

Responsibilities

• Develop and maintain ETL processes using Azure Data Factory and Azure Databricks.
• Write efficient PySpark scripts for data transformation and processing.
• Design and implement data models, pipelines, and integration workflows.
• Collaborate with data scientists to support machine learning and analytics initiatives.
• Monitor and optimize data processing performance and cost efficiency in Azure.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in Azure Databricks.
• Proficiency in PySpark.
• Experience with Azure Data Factory (ADF).
• Ability to design and implement data models and integration workflows.
• Any Graduate degree.

Key Skills

Education

Any Graduate