🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
This role is for one of the Weekday's clients Salary range: Rs 1400000 - Rs 3000000 (ie INR 14 - 30 LPA) Min Experience: 6+ years Location: Pune, Maharashtra, India, Bengaluru, Karnataka, India, Hyderabad, noida, Mumbai, Maharashtra, India JobType: full-time Mandatory skills- we need hands-on MS Fabric, Fabric IQ, Ontology and Python developer skills We are seeking senior-level professionals with strong hands-on experience in Microsoft Fabric, Python, and Semantic Data Modeling/Ontologies. The ideal candidate will have proven expertise in designing scalable data platforms, building semantic layers, and enabling business insights through modern data engineering practices. Requirements Key Responsibilities Design, develop, and optimize data solutions using Microsoft FabricBuild and manage data pipelines, lakehouses, warehouses, and analytics workloadsDevelop semantic models, ontologies, and knowledge representations to support business use casesImplement data engineering solutions using Python and modern data frameworksCollaborate with business and technical stakeholders to translate requirements into scalable data architecturesEnsure data quality, governance, metadata management, and semantic consistency across data assetsSupport advanced analytics, AI/ML, and enterprise data initiatives Required Skills years of experience in Data Engineering and AnalyticsStrong hands-on expertise in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI, OneLake)Experience with IQ/Ontologies, Semantic Modeling, Knowledge Graphs, or related semantic technologiesAdvanced Python programming skills for data processing and automationStrong understanding of data architecture, ETL/ELT, data modeling, and cloud-native analytics platformsExperience working directly with business stakeholders and enterprise-scale data ecosystems Preferred Qualifications Experience with knowledge graphs, metadata management, and semantic search solutionsExposure to AI/GenAI-enabled data platformsMicrosoft Fabric and Azure certifications preferred Target Profile: Senior consultants, architects, or lead engineers with demonstrated expertise in Microsoft Fabric, data engineering, and semantic technologies, capable of driving enterprise-scale implementations with minimal supervision. Must-have Skills MS Fabric, Fabric IQ, Ontology Good-to-have Skills Microsoft Fabric, Python .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.