Nagarro is hiring a
Staff Engineer

Summary

Join our dynamic and non-hierarchical company as we scale in a big way! We're looking for great new colleagues to build products, services, and experiences that inspire, excite, and delight. As Lead Consultant - Azure Data Platform Engineering & Ops, you'll be responsible for architecting, implementing, and managing robust data solutions on the Microsoft Azure platform.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• Extensive experience in data engineering, data architecture, and cloud platform operations, with a focus on the Microsoft Azure ecosystem
• In-depth knowledge of Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB
• Proficiency in designing and optimizing data pipelines, ETL/ELT processes, and data integrations
• Strong understanding of data governance, security best practices, and compliance standards in a cloud environment
• Hands-on experience with automation, infrastructure as code (IaC), and DevOps principles
• Excellent leadership and team management skills, with a proven ability to guide and inspire technical teams

Responsibilities

• Lead and mentor a team of data engineers and operations specialists, providing technical guidance, fostering skill development, and promoting a culture of excellence
• Collaborate with stakeholders to design scalable and efficient data architectures using Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB
• Oversee the development of data pipelines, ETL/ELT processes, and data integrations, ensuring data quality, optimal performance, and adherence to best practices
• Manage the day-to-day operation and maintenance of the Azure Data Platform, including monitoring, troubleshooting, and performance optimization
• Implement automation strategies and DevOps practices to streamline deployment, monitoring, and management of data solutions, ensuring efficient operations and rapid response to issues

Benefits

Dynamic and non-hierarchical work culture