Description

You will engineer and implement scalable data processing solutions using Azure Databricks.

This role is on-site.

Responsibilities

• Design and implement data pipelines and lakehouse architectures ensuring efficiency.
• Translate cross-functional requirements into technical specifications.
• Oversee the full development lifecycle from planning to deployment and maintenance.
• Conduct code reviews to ensure high code quality and standards.
• Facilitate communication between technical and non-technical stakeholders.

Required Skills

• Proven expertise in Azure Databricks, Spark, data lakes, and data pipelines.
• Strong programming skills in Python, Scala, or SQL.
• Experience with Azure Data Lake Storage and Azure SQL Database.
• Solid understanding of Data Modeling, ETL processes, and Data Warehousing.
• 12+ years of experience in data engineering or software development.
• Ability to lead technical teams and manage multiple projects.
• Bachelor's degree in a related technical field.

Preferred Skills

• Familiarity with Azure DevOps for CI/CD processes.
• Experience with machine learning frameworks and libraries.

Key Skills

Education

Bachelor's degree