Straive
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Information Technology Support Services · Unknown · Mumbai, India
Hiring: Engineering
What employees say
+ Good domain exposure across media operations and data workflows.
− Frequent Resource Reallocations: Project planning often feels short-sighted. Employees are frequently shuffled across different operational queues and workflows with minimal notice
More reviews on the company profile.
Interview experience · Product Manager
The worst experience! Playing with candidates time and emotions.. After attending 4 rounds of interview they say waiting for hiring manager slots Post which they said org restructure happening internally and then ask us
Average difficulty · India · 95 reports
More interview insightsJob description
Overview
Location - PAN India Straive Locations
Responsibilities
- 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.
- 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.
- 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.
- 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.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Azure Fabric Data Engineer at Straive?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Straive may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Fabric Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Fabric Data Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Azure Fabric Data Engineer role at Straive?
- This is a mid-level Azure Fabric Data Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.