Description

You will design and build data solutions leveraging the Azure data ecosystem.

Responsibilities

• Design and build large-scale data processing solutions using Databricks for ETL/ELT and analytics.
• Implement data pipelines using Azure Data Factory and manage data storage in ADLS.
• Model and transform data using dbt within the cloud data warehouse environment.
• Define and manage cloud infrastructure using Terraform or ARM templates.

Required Skills

• 10+ years in data engineering or architecture.
• 4+ years in a senior or architect role focusing on cloud solutions.
• Expert ability with Databricks for ETL/ELT.
• Deep experience with Azure Data Factory and Azure Data Lake Storage (ADLS).
• Proficiency with dbt for data transformation and modeling.
• Solid understanding of data warehousing principles (Kimball/Inmon).
• Experience with Infrastructure as Code (IaC) using Terraform.

Key Skills

Education

Any Graduate