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Hyderabad · On-site · 5-8 Yrs · Oct 13
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Greetings from Sparity!
Qualifications
- Build and optimize data pipelines and ETL/ELT workflows
- Develop scalable solutions using Microsoft Fabric Lakehouse & Warehouse
- Work with Spark, SQL & Python for big data processing
- Build data solutions using Fabric Dataflows Gen2, Data Pipelines & Azure Data Factory
- Implement Medallion Architecture (Bronze, Silver & Gold)
- Work on dimensional modelling, incremental loads & data reconciliation
- Integrate Power BI for analytics and reporting
- Support migration of legacy ETL workloads to Microsoft Fabric
- Microsoft Fabric certifications – DP-700 / DP-600
- Azure Databricks
- Fabric Git Integration & Deployment Pipelines
- Fabric Capacity & Performance Tuning
- Power BI Semantic Models & Direct Lake
- Client-facing experience
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Job application FAQ
Last updated 16 October 2026
- How do I apply for Microsoft Fabric Data Engineer | 5-8 Yrs | Sparity | Hyderabad at Sparity?
- 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. Sparity may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Microsoft Fabric Data Engineer | 5-8 Yrs | Sparity | Hyderabad 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 Microsoft Fabric Data Engineer | 5-8 Yrs | Sparity | Hyderabad remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Microsoft Fabric Data Engineer | 5-8 Yrs | Sparity | Hyderabad role at Sparity?
- This is a mid-level Microsoft Fabric Data Engineer | 5-8 Yrs | Sparity | Hyderabad role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.