Description

You will design and implement data integration solutions using the Azure ecosystem.

This role is on-site.

Responsibilities

• Build ETL and ELT pipelines using Azure Data Factory and Azure Databricks.
• Manage data storage and processing across Azure Data Lake, Azure SQL Database, and Synapse.
• Apply data modeling principles to develop relational databases and data warehousing solutions.
• Collaborate with geographically diverse teams using Agile and DevOps methodologies.

Required Skills

• 4+ years of professional experience in data engineering.
• Hands-on experience with Azure Data Factory and Azure Databricks (Spark).
• Practical experience with Azure Data Lake, Azure SQL Database, and Synapse.
• At least 1 year of experience with the Azure Big Data stack.
• At least 1 year of experience with cloud-based architectures.
• Advanced SQL expertise and strong knowledge of relational databases.
• Solid understanding of Data Modeling, BI, and Data Warehousing.
• Proficiency in English for written and verbal communication.
• Ability to work within Agile and DevOps frameworks.

Preferred Skills

• Experience with CI/CD, Cloud architectures, and NoSQL databases.
• Knowledge of Azure Analysis Services and Power BI.

Key Skills

Education

Any Graduate