Description

You will build and maintain scalable data solutions within the Azure ecosystem.

This role is on-site.

Responsibilities

• Design and develop data pipelines using Azure Data Services and Databricks.
• Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric.
• Integrate and manage data across platforms including Snowflake, Delta Lake, and Azure Storage.
• Create clean, scalable data models to support analytics and AI/ML use cases.
• Translate business requirements into technical solutions through stakeholder collaboration.

Required Skills

• 5+ years of experience in Azure Data Engineering.
• Hands-on expertise with Databricks, PySpark, Python, and SQL.
• Experience with Azure Fabric, Snowflake, and modern data architectures.
• Solid understanding of cloud data pipelines and performance tuning.
• Proficiency in using Azure Data Services.
• Familiarity with AI/ML data requirements.
• Strong skills in stakeholder collaboration and communication.

Preferred Skills

• Experience with Delta Lake optimization techniques.
• Background in building data models for AI/ML pipelines.

Key Skills

Education

Any Gradute