Description

You will design, develop, and maintain data engineering and ingestion solutions within the Azure ecosystem.

This role is on-site.

Responsibilities

• Build and test data pipelines using PySpark, Azure Data Factory (ADF), Synapse, and Azure Data Lake.
• Own the full development lifecycle, including writing production-ready code, documentation, and pipeline demonstrations.
• Design scalable architectures while adhering to security and compliance best practices.
• Perform failure analysis, propose design changes, and support UAT and production deployments.
• Conduct code reviews to ensure engineering standards and provide guidance on development procedures.

Required Skills

• 10+ years of experience in data engineering or related roles.
• Proficiency with Azure Data Factory (ADF) and Azure Synapse.
• Experience with Azure Data Lake and SQL Server.
• Strong knowledge of DevOps practices.
• Ability to perform data analysis and provide solution architecture on demand.
• Experience building frameworks with PySpark.
• Expertise in SSIS and SQL Server.

Preferred Skills

• Experience with Kubernetes and Azure Service Fabric.
• Knowledge of Delta Lake and Informatica.

Key Skills

Education

Any Gradute