Senior Data Engineer

About the Role

We are seeking a highly skilled Data Engineer with deep expertise in Microsoft Azure to design, build, and optimize scalable data pipelines and Lakehouse architectures. You will work closely with cross-functional teams to provide thought leadership deliver robust, secure, and high-performance data solutions that empower analytics and data science initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory and Azure Synapse Analytics .
• Build and optimize lakehouse architectures on Azure using Delta Lake .
• Work closely with client stakeholders to understand their requirements and provide thought leadership to translate the same into technical scripts.
• Implement data ingestion, transformation, and orchestration workflows from diverse sources (APIs, databases, cloud storage).
• Ensure data quality, consistency, and security across the data lifecycle.
• Leverage Azure services such as Data Lake Storage Gen2 , Event Hubs , Azure Functions , and Key Vault .
• Implement Infrastructure as Code (IaC) using Terraform or Bicep for automated provisioning and configuration.
• Optimize cloud resource usage for performance and cost-efficiency.
• Design and implement star schema and other data modeling techniques to support analytical workloads.
• Collaborate with analysts and data scientists to deliver advanced analytics solutions.
• Conduct data quality assessments and contribute to data governance initiatives.
• Participate in design reviews, code reviews, and cross-functional planning sessions.

Required Technical Skills

Soft Skills & Mindset

Preferred Qualifications