Auxo AI - Data Engineer - Microsoft Fabric

Responsibilities :

 

- Design, build, and maintain scalable data pipelines using Microsoft Fabric components such as Data Factory (Pipelines), Dataflows Gen2, and Fabric Notebooks.

 

- Develop and manage Lakehouse architectures leveraging OneLake and Fabric Lakehouse for structured and semi-structured data.

 

- Build and optimize batch and real-time data ingestion pipelines from multiple enterprise data sources including APIs, streaming platforms, and enterprise systems.

 

- Implement ETL/ELT workflows ensuring data quality, reliability, and performance optimization.

 

- Collaborate with data scientists, analysts, and business stakeholders to deliver analytics-ready datasets.

 

- Integrate Microsoft Fabric with Azure ecosystem tools such as Azure Data Lake, Power BI, and Synapse components.

 

- Implement observability and monitoring using Azure Log Analytics, alerts, and action groups to ensure system reliability.

 

- Work with governance and metadata management tools (e.g., Fabric Catalog, Purview) to ensure data discover-ability, lineage, and compliance.

 

- Optimize query performance and storage strategies for large-scale datasets.

 

- Support deployment automation using CI/CD pipelines and DataOps practices.

 

- Stay updated with evolving Microsoft Fabric capabilities and modern data engineering trends.

 

Requirements :

 

Qualifications :

 

- Bachelors/Masters degree in Computer Science, Engineering, or related field (or equivalent practical experience).

 

- 2-4 years hands-on experience working with Microsoft Fabric (Lakehouse, Data Factory, Pipelines, Warehouse, Dataflows Gen2).

 

- Strong SQL and data modelling expertise.

 

- Experience building ETL/ELT pipelines using modern data engineering practices.

 

- Working knowledge of Python or PySpark for data transformation.

 

- Experience with Azure data services such as Azure Data Lake Storage, Azure SQL, or Synapse Analytics.

 

- Understanding of data warehousing concepts and dimensional modelling.

 

- Experience integrating Power BI with enterprise data platforms is preferred.

 

- Familiarity with CI/CD, version control, and deployment automation.

 

- Understanding of data governance, security, and performance optimization techniques.

 

- Exposure to data governance tools such as Purview or Fabric Catalog is a plus

 

- Exposure to real-time ingestion frameworks such as Eventstream or Azure Event Hubs, experience with event-driven architectures or IoT data ingestion is a plus

 

Why AuxoAI?

 

- Build and ship real AI and data products used by global enterprises

 

- Work on GenAI, LLM-powered analytics, and modern data platforms

 

- End-to-end ownership from architecture to production deployment

 

- Solve real-world problems across healthcare, CPG, BFSI, and more

 

- Collaborate with top-tier engineers, architects, and AI specialists

 

- Opportunity to shape next-generation enterprise data platforms

 

- Pathways into solution architecture and AI engineering roles

 

- High-velocity projects with measurable business outcomes

 

- Modern stack: Microsoft Fabric, Azure, Python, DataOps, AI platforms

 

- 1:1 mentorship from industry leaders in AI and data engineering

 

- Annual team offsites and internal tech talks

 

- Regular knowledge-sharing and peer-led sessions

 

- Competitive compensation + flexible hybrid work model