Description

You will design and implement scalable data engineering solutions on Azure, building ingestion and transformation pipelines that support analytics and reporting.

This role is hybrid.

Responsibilities

• Design and build cloud-based data solutions for ingestion, transformation, and delivery.
• Develop, test, and maintain production-grade data workflows with a focus on reliability and performance.
• Optimize data pipelines to ensure timely and accurate data delivery for consumption use cases.
• Collaborate with stakeholders to translate business requirements into technical data designs.
• Monitor pipeline health and troubleshoot data processing issues.

Required Skills

• 8-12 years of relevant experience in data engineering on cloud platforms.
• Hands-on expertise with Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics.
• Proficiency in Python and SQL for data processing and scripting.
• Deep understanding of Azure Cloud services for building and operating data solutions.
• Experience across the full data pipeline lifecycle with a focus on scalability.
• Proven track record of delivering production-grade data workflows.

Preferred Skills

• Bachelor's or Master's Degree in Computer Science or related field.
• Experience optimizing data solutions for complex analytics and reporting needs.

Key Skills

Education

Any Graduate