Description

You will design and implement end-to-end data solutions on the Azure Data Platform.

This role is hybrid.

Responsibilities

• Design and develop ETL processes for data migration and analytics projects.
• Build and troubleshoot complex technical solutions across OLAP, OLTP, and Data Warehouse environments.
• Create conceptual, logical, and physical data models for relational and dimensional solutions.
• Streamline data flows to improve data quality, performance, and security.
• Collaborate with architects, DBAs, and product owners to define implementation strategies.

Required Skills

• 5+ years of experience in data engineering.
• Hands-on experience with Azure Data Factory, Azure Synapse, and Data Lake Gen2.
• Strong expertise in SQL Server and SQL Server Data Warehouse.
• Proficiency in MS-SQL and Azure SQL DB.
• Experience with CI/CD and DevOps workflows.
• Practical knowledge of ETL processes and data mining techniques.
• Ability to manage large datasets with a focus on performance and governance.
• Competency in logical and physical data modeling using tools like Erwin or Enterprise Architect.

Preferred Skills

• Experience with Azure Functions.
• Experience implementing metadata-driven dynamic Azure pipelines.

Key Skills

Education

Any Graduate