Nagarro
Overview
Be among the first 25 applicants. Nagarro is a digital product engineering company that builds products, services, and experiences at scale across devices and digital mediums. We have 18,000+ experts across 39 countries with a dynamic, non-hierarchical work culture. We are looking for strong colleagues who want to do more with their technical knowledge and help teammates navigate challenges for improved solutions. Responsibilities
Architect and implement end-to-end data solutions using Microsoft Fabric. Define data ingestion, transformation, and modeling strategy using Lakehouse/Warehouse. Build scalable ETL/ELT pipelines using Data Factory, Spark, and Dataflows Gen2. Design enterprise semantic models and govern Power BI datasets. Implement security, governance, and compliance frameworks. Collaborate with business teams to translate requirements into architectures. Lead technical teams and establish best practices for Fabric usage. Optimize Lakehouse performance, storage layer, and reporting models. Qualifications
Minimum 8 years of experience in data engineering roles. Data Modeling – Strong expertise in designing and optimizing data models. ETL Concepts – Strong understanding of ETL/ELT principles and best practices. Microsoft Fabric – Hands-on experience with Fabric components and architecture. Nice To Have Skills
EA Governance – Strong knowledge of enterprise architecture governance frameworks. OneLake – Familiarity with OneLake storage and optimization strategies. Seniorities
Mid-Senior level Employment Type
Full-time Industries / Job Function
Industries: IT Services and IT Consulting Note: This description retains the core responsibilities and qualifications related to the Data Engineer role and removes extraneous notices and repeated content.
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Be among the first 25 applicants. Nagarro is a digital product engineering company that builds products, services, and experiences at scale across devices and digital mediums. We have 18,000+ experts across 39 countries with a dynamic, non-hierarchical work culture. We are looking for strong colleagues who want to do more with their technical knowledge and help teammates navigate challenges for improved solutions. Responsibilities
Architect and implement end-to-end data solutions using Microsoft Fabric. Define data ingestion, transformation, and modeling strategy using Lakehouse/Warehouse. Build scalable ETL/ELT pipelines using Data Factory, Spark, and Dataflows Gen2. Design enterprise semantic models and govern Power BI datasets. Implement security, governance, and compliance frameworks. Collaborate with business teams to translate requirements into architectures. Lead technical teams and establish best practices for Fabric usage. Optimize Lakehouse performance, storage layer, and reporting models. Qualifications
Minimum 8 years of experience in data engineering roles. Data Modeling – Strong expertise in designing and optimizing data models. ETL Concepts – Strong understanding of ETL/ELT principles and best practices. Microsoft Fabric – Hands-on experience with Fabric components and architecture. Nice To Have Skills
EA Governance – Strong knowledge of enterprise architecture governance frameworks. OneLake – Familiarity with OneLake storage and optimization strategies. Seniorities
Mid-Senior level Employment Type
Full-time Industries / Job Function
Industries: IT Services and IT Consulting Note: This description retains the core responsibilities and qualifications related to the Data Engineer role and removes extraneous notices and repeated content.
#J-18808-Ljbffr