Advanced Data Engineer

Job Summary

Advanced Data Engineer in Global IT at Novo Nordisk Engineering

Do you want to help Novo Nordisk Engineering (NNE) become more data driven and work with the latest data technologies Then we have an exciting opportunity for you as an Advanced Data Engineer in NNE!!

Location: Bengaluru

Department: Global IT

Experience Min.: 5-8 years

Employment: Type Full Time

Responsibilities

• Maintain NNE s data platform infrastructure in Microsoft Fabric
• Help with data storage, processing and data modelling.
• Design ETL/ELT processes build data pipelines
• Collaborate with business stakeholders to help them get the most of their data
• Communicate how data can be used in new ways within NNE
• Prioritize support for operational tasks
• Spend remaining time on development tasks.
• Design scalable, secure and maintainable data architecture patterns using Microsoft Fabric, Azure data services, lakehouse concepts and modern data engineering practices.
• Drive best practices for data quality, observability, performance tuning, metadata management, lineage, access control and lifecycle management across data products.
• Build reusable frameworks, templates and automation that improve reliability, reduce operational effort and accelerate delivery for the wider data platform team.
• Support DevOps ways of working by implementing CI/CD pipelines, automated testing, code reviews, version control and deployment standards for data solutions.

Who You Are

• Encourage teamwork and collaboration across skillsets
• Understand how technology can empower business, and can articulate the value of data solutions
• Are well-organized, can plan your work, and can communicate progress on activities
• Have analytical skills combined with technical understanding
• Are comfortable taking technical ownership, making design decisions and guiding others toward robust and business-aligned solutions.
• Can balance hands-on development with stakeholder engagement, solution advisory and continuous improvement of engineering standards.

The miles you ve walked

In all positions there are some things that are needed, and others a bonus. We believe these qualifications are needed for you to do well in this role:

• Bachelor s or master s degree in relevant field
• 5+ years of experience within data engineering
• Experience with SQL and Python
• Experience with ETL/ELT processes
• Hands-on experience with Azure services such as Azure Synapse Analytics and/or in Microsoft Fabric will be considered a plus.
• Prior working knowledge in Azure DevOps will be considered a plus
• Strong hands-on experience designing and operating production-grade data pipelines, Lakehouse/warehouse solutions and data models at enterprise scale.
• Advanced knowledge of Microsoft Fabric capabilities such as OneLake, Data Factory, Data Engineering, Data Warehouse, Power BI semantic models, security and governance will be a strong advantage.
• Experience with data governance, data cataloguing, data lineage, data quality frameworks, monitoring and operational support for critical data products.
• Experience mentoring junior data engineers, reviewing solution designs and contributing to technical roadmaps will be considered a plus.
• If you do not check all the boxes, you are welcome to offer alternative experience that you think would be valuable in this role.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.