Description

Design, build, and maintain large-scale data analytics solutions on Azure.

This role is on-site.

Responsibilities

• Own release pipelines and data engineering strategies for scalable systems.
• Develop batch and real-time analytical solutions using transformational technologies.
• Design data pipeline architecture, indexing schemes, partitioning, and data marts.
• Code, test, and document data systems to ensure performance and reliability.
• Implement complex mappings and transform large datasets to meet business requirements.

Required Skills

• 8+ years of hands-on data engineering experience, preferably on Azure.
• Proven experience with Azure Data Lake, Data Factory, Databricks, and Logic Apps.
• Delivered at least one greenfield Data Lake, Delta Lake, or Data Warehousing project in Azure.
• Advanced SQL skills with relational databases and T-SQL.
• Proficiency in Python or other scripting languages.
• Experience with Azure Synapse Analytics, Azure SQL, PowerShell, Azure Automation, and Blob storage.
• Familiarity with CI/CD within Azure DevOps.
• Knowledge of Big Data batch and streaming tools.
• Experience managing code repositories in large-scale data engineering platforms.

Preferred Skills

• Experience participating in design discovery sessions and workshops with end users.

Key Skills

Education

Any graduate