Description

Design and implement scalable data engineering solutions within the Microsoft Azure ecosystem. You will own the full lifecycle of data and analytics solutions, from requirements gathering to deployment and maintenance.

Responsibilities

• Design and implement complex cloud solutions focusing on Azure Databricks and Azure Data Factory integration.
• Develop and maintain efficient data pipelines and architectures.
• Ensure optimal application performance and cloud security compliance.
• Translate business requirements into technical data architectures through cross-functional collaboration.

Required Skills

• 7+ years of experience as a data engineer.
• 3+ years of experience designing and implementing data solutions using Azure Cloud.
• Proficiency in Azure Databricks and Azure Data Factory.
• Strong programming skills in Python, SQL, or Scala.
• Experience with Azure Data Lake.
• Expertise in 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 scalable architectures for machine learning and AI solutions.
• Additional Azure certifications such as Azure ML, Analytics Specialty, or Azure Solutions Architect.

Key Skills

Education

Bachelor's degree in Computer Science