Azure Fabric Data Engineer
First seen by Alion on Oct 24, 2026.
Job Description - Azure Fabric Data Engineer
Location - PAN India Straive Locations
Work Mode- Hybrid
About Us
Straive is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of 20,000 professionals serving 350+ clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured data enabling organizations to build AI systems grounded in accuracy, context, and business relevance.
The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIM's 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the world's leading private equity firms by PEI in 2025 Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with AI execution at scale.
Job Description
We are seeking a mid-level Azure Data Fabric Engineer to help us architect and implement modern data solutions using the Microsoft Fabric ecosystem. You will be responsible for streamlining data workflows, implementing OneLake architectures, and enabling seamless data integration and analytics across the enterprise.
Key Responsibilities
- Fabric Architecture: Design and maintain end-to-end data pipelines and Lakehouses within the Microsoft Fabric ecosystem.
- Unified Storage: Implement and optimize OneLake structures to create a seamless, single source of truth for diverse data assets.
- Data Engineering: Develop scalable ETL/ELT workflows using Synapse Data Engineering and Data Factory.
- Performance Tuning: Optimize Fabric capacity and compute usage to ensure cost-efficient, high-speed data processing.
- Collaboration: Partner with Data Scientists and BI teams to deliver structured, high-fidelity datasets for GenAI and advanced analytics.
Required Experience and Qualifications
- Ecosystem Mastery: 3-7 years in Azure Data Engineering with focused experience in Microsoft Fabric, Synapse Analytics, and OneLake.
- Languages: Advanced proficiency in Python (PySpark) and Complex SQL.
- Frameworks: Hands-on experience with Delta Lake formats, Medallion Architecture, and Spark-based processing.
- Orchestration: Proven ability to build and monitor pipelines in Data Factory and manage CI/CD via Azure DevOps.
- Data Modeling: Good understanding of Star/Snowflake schemas and semantic modeling.
Recognition & Achievements
- We have been recognized as a Star Performer in Data & AI Services Specialists - Everest's North America PEAK Matrix 2025, and as a Leader in AIM's Pema Quadrant of Agentic AI Service Providers - 2025.
- In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services.
For more information, please visit our Website https://www.straive.com/
Straive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.