Description

You will design and implement scalable data engineering solutions within the Microsoft Azure ecosystem, owning the full lifecycle from requirements to deployment.

This role is on-site.

Responsibilities

• Design and implement complex cloud solutions focusing on Azure Databricks and Azure Data Factory integration.
• Develop and maintain efficient data pipelines and scalable architectures using Azure Data Lake.
• Ensure optimal performance and security of applications deployed on Azure.
• Collaborate with cross-functional teams to translate business requirements into technical architectures.

Required Skills

• 7+ years of experience in data engineering.
• 3+ years of experience designing and implementing data solutions using Azure Cloud.
• Strong proficiency in Azure, Databricks, and Azure Data Factory.
• Expertise in Python, SQL, or Scala.
• Deep understanding of data modeling, ETL/ELT development, and orchestration techniques.
• Bachelor's degree in Science, Technology, Engineering, or Mathematics.
• Azure Data Engineering or Databricks certification.

Preferred Skills

• Experience designing architectures for machine learning and AI advanced analytics.
• Additional Azure certifications such as Azure ML, Analytics Specialty, or Azure Solutions Architect.

Key Skills

Education

Not specified