Description

You will design, build, and maintain scalable data pipelines within the Microsoft Azure ecosystem. You own the development of ETL/ELT processes, ensuring data quality and efficient access for analytics.

Responsibilities

• Develop datasets, data flows, and pipelines in Azure Data Factory beyond basic maintenance.
• Optimize ETL/ELT processes to ensure high data quality and performance.
• Implement data access solutions for business intelligence and analytics.
• Deploy and manage containerized applications and ETL workloads on Azure Kubernetes Service (AKS).
• Collaborate using Agile methodologies to deliver project requirements.

Required Skills

• 5+ years of experience in data engineering, ETL, and ELT development.
• Deep proficiency in Azure Data Factory (building complex pipelines and data flows).
• Strong command of Python and SQL.
• Experience with Azure Synapse Analytics and Azure SQL Database.
• Proficiency with Mongo or Cosmos DB.
• Azure cloud certifications or equivalent hands-on experience.
• Experience deploying applications and ETL processes on AKS (or EKS).

Key Skills

Education

Any Gradute