Fabric Data Engineer - JD

About Straive

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 AIMs 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the worlds 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 Overview

We are seeking a mid-level Azure Data Fabric Engineer to help us architect and implement contemporary 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 Skills and Qualifications

Ecosystem Mastery: 3-5 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 - Everests

North America PEAK Matrix 2025, and as a Leader in AIMs 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.

"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

Join us Today

Ready to make an impact? Join Straive and redefine the future of business and technology, where you can thrive and lead.

For more information, please visit our Website https://www.straive.com/

📌 Data Engineer (Bengaluru)
🏢 Straive
📍 Bengaluru