Description

Design and implement scalable data platforms on Azure, owning the end-to-end delivery of data solutions.

This role is on-site.

Responsibilities

• Build and optimize ETL/ELT pipelines using Azure Data Factory for structured and unstructured data.
• Develop and tune analytics solutions with Azure SQL and Databricks (Spark).
• Enable AI and ML integration using Azure AI Services and Microsoft Fabric.
• Ensure data quality, governance, and reliability across the platform.
• Collaborate with cross-functional teams in agile models to drive continuous improvement.

Required Skills

• 6+ years of experience with Azure Data Platform technologies.
• Strong hands-on expertise in Azure Data Factory for ETL development.
• Proficiency in Databricks, including Spark, notebooks, and performance optimization.
• Solid understanding of Azure SQL and data modeling concepts.
• Experience with ETL/ELT pipeline design and performance tuning.
• Ability to support ML workload migration and modernization on Azure.
• Strong problem-solving skills with a focus on delivering end-to-end data solutions.

Preferred Skills

• Experience with Microsoft Fabric and Azure AI Services.
• Background in data quality frameworks and monitoring.

Key Skills

Education

Any Graduate