Description

You will design and deliver end-to-end ETL/ELT solutions and data pipelines within the Azure ecosystem.

This role is on-site.

Responsibilities

• Implement batch and near real-time data ingestion pipelines using Azure services.
• Build and manage data pipelines and warehouses running on serverless infrastructure.
• Manage workflow orchestration using Azure Cloud Data Engineering components.
• Collaborate with business stakeholders to identify and implement data requirements.
• Apply strong technical knowledge of SQL DB and data modelling.

Required Skills

• 10+ years of experience in Data Engineering and ETL.
• 3+ years of experience specifically with Azure Data Engineering and Databricks.
• Proficiency with PySpark and Python.
• Hands-on experience with Azure Data Factory, Azure Synapse, and ADLS.
• Strong technical knowledge of SQL DB.
• Expertise in data modelling.
• Experience with event-driven cloud platforms for cloud services and apps.

Preferred Skills

• Azure Certified Data Engineer.
• Experience with Azure DevOps and GitHub.

Key Skills

Education

Any Graduate