Big Data Engineer (Azure)

Company Description

👋🏼 We're Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17 500+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We’re looking for a Data Engineer to lead the design and development of scalable data pipelines and frameworks within the Azure ecosystem. You’ll manage data ingestion, transformation, storage, and access using tools like Azure Data Factory and Databricks. Key responsibilities include:

• Building robust, reusable pipelines from diverse sources
• Ensuring data quality and implementing validation mechanisms
• Supporting event-based and streaming data ingestion
• Offering technical guidance during migration and post-migration
• Staying up-to-date with cloud and data engineering best practices

Qualifications

• 3–5 years in data engineering or similar roles
• Proven experience with Azure Databricks and Azure data services
• Strong Python programming skills for data workflows
• Experience with data profiling and cataloging
• Familiarity with data visualization tools (Power BI preferred)