Lead Data Engineer
First seen by Alion on Aug 31, 2026.
Be part of an award-winning global technology company that's transforming enterprises with AI, Data, and Cloud solutions.
Work on cutting-edge Microsoft Fabric, Azure, and Databricks technologies while building scalable, enterprise-grade data platforms for global clients.
Location : Remote.
Experience : 8+ Years.
Key Responsibilities :
- Architect and deploy robust data solutions using Microsoft Fabric to streamline data ingestion, transformation, and storage for enterprise-wide analytics.
- Lead and mentor a team of data engineers, fostering a culture of technical excellence and continuous improvement to meet aggressive project timelines.
- Collaborate with business leaders to translate complex analytical needs into high-performance data models that support real-time reporting and advanced AI initiatives.
- Optimize existing data pipelines and lakehouse architectures to ensure high availability, security, and cost-efficiency across cloud environments.
Required Skills :
- Microsoft Fabric
- Data Engineering
- Azure (ADF, ADLS, Synapse)
- Databricks
- SQL, Python, DAX
- ETL/ELT Pipelines
- OneLake & Lakehouse Architecture
- Power BI & Semantic Models
- Data Modeling
Why Join?
- Work on next-generation AI & Data Engineering projects.
- Collaborate with global clients and industry experts.
- Build scalable Microsoft Fabric solutions from end to end.
- Excellent learning, growth, and career advancement opportunities.
Interested candidates, share your updated resume along with your Current CTC, Expected CTC, Notice Period, and Current Location. Immediate joiners are highly preferred.
Skills
Data Engineering, Microsoft Fabric, Data Ingestion, Azure Databricks, SQL, Python, ETL, Data Pipeline, Power BI