Microsoft Fabric Engineer

Weekday

Microsoft Fabric Engineer for EazyML responsible for designing, developing, and maintaining scalable data platforms. This role focuses on building reliable data pipelines and leveraging AI for productivity.

Posted 7/20/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSenior💰 ₹1,100,000 - ₹5,000,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable data pipelines using Microsoft Azure Fabric, Databricks, and cloud-based data services, while ensuring data accuracy and operational reliability. Proficient in optimizing ETL/ELT processes and leveraging AI-assisted tools to enhance engineering productivity and solution quality.

Highest-signal resume keywords

Microsoft Azure FabricDatabricksETL/ELT Pipeline DesignPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingData WarehousingCloud-Based Data PlatformsApache SparkData Integration SolutionsData Processing OptimizationAutomation TechniquesAI-Assisted Development ToolsPerformance Tuning

Soft Skills

Analytical SkillsProblem-SolvingCommunicationStakeholder ManagementProactive Mindset

Industry Keywords

Data GovernanceData QualityOperational SupportCross-Functional CollaborationEnterprise Data Solutions

Tech Stack

Tools & technologies

ApacheAzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
Build and optimize robust ETL/ELT processes for structured, semi-structured, and unstructured data across enterprise environments.
Collaborate with business stakeholders to understand data requirements and translate them into scalable technical solutions.
Develop and maintain reliable data integration workflows that ensure data accuracy, consistency, and availability.
Optimize data processing pipelines for performance, scalability, cost efficiency, and operational reliability.
Leverage AI-assisted development tools and modern engineering practices to accelerate solution delivery and improve code quality.
Monitor, troubleshoot, and resolve production data pipeline issues while proactively identifying opportunities for automation and optimization.
Work closely with architects, analysts, developers, and cross-functional teams throughout the project lifecycle to deliver high-quality data solutions.
Implement best practices for data engineering, governance, documentation, testing, and operational support.
Take ownership of project deliverables by ensuring quality, meeting timelines, communicating risks proactively, and continuously improving engineering processes.

Requirements

What you’ll need

5+ years of hands-on experience as a Data Engineer with expertise in enterprise-scale data engineering solutions.
Strong experience with Microsoft Azure Fabric, Databricks, and Azure data services in production environments.
Solid understanding of SQL, data modeling, data warehousing concepts, and cloud-based data platforms.
Proven experience designing and implementing scalable ETL/ELT pipelines and enterprise data integration solutions.
Proficiency in Python, Apache Spark, or similar technologies for large-scale data processing.
Experience optimizing cloud-based data workflows for performance, scalability, reliability, and cost efficiency.
Strong analytical and problem-solving skills with the ability to troubleshoot complex production issues effectively.
Comfortable using AI-assisted development tools and automation techniques to improve engineering productivity and solution quality.
Excellent communication and stakeholder management skills, with the ability to collaborate effectively across global, cross-functional teams.
A proactive, ownership-driven mindset with the flexibility to adapt to evolving priorities while consistently delivering high-quality, business-critical data solutions.

Benefits

Comp & perks

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Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
Build and optimize robust ETL/ELT processes for structured, semi-structured, and unstructured data across enterprise environments.
Collaborate with business stakeholders to understand data requirements and translate them into scalable technical solutions.
Develop and maintain reliable data integration workflows that ensure data accuracy, consistency, and availability.
Optimize data processing pipelines for performance, scalability, cost efficiency, and operational reliability.
Leverage AI-assisted development tools and modern engineering practices to accelerate solution delivery and improve code quality.
Monitor, troubleshoot, and resolve production data pipeline issues while proactively identifying opportunities for automation and optimization.
Work closely with architects, analysts, developers, and cross-functional teams throughout the project lifecycle to deliver high-quality data solutions.
Implement best practices for data engineering, governance, documentation, testing, and operational support.
Take ownership of project deliverables by ensuring quality, meeting timelines, communicating risks proactively, and continuously improving engineering processes. 🎯 Requirements
5+ years of hands-on experience as a Data Engineer with expertise in enterprise-scale data engineering solutions.
Strong experience with Microsoft Azure Fabric, Databricks, and Azure data services in production environments.
Solid understanding of SQL, data modeling, data warehousing concepts, and cloud-based data platforms.
Proven experience designing and implementing scalable ETL/ELT pipelines and enterprise data integration solutions.
Proficiency in Python, Apache Spark, or similar technologies for large-scale data processing.
Experience optimizing cloud-based data workflows for performance, scalability, reliability, and cost efficiency.
Strong analytical and problem-solving skills with the ability to troubleshoot complex production issues effectively.
Comfortable using AI-assisted development tools and automation techniques to improve engineering productivity and solution quality.
Excellent communication and stakeholder management skills, with the ability to collaborate effectively across global, cross-functional teams.
A proactive, ownership-driven mindset with the flexibility to adapt to evolving priorities while consistently delivering high-quality, business-critical data solutions. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Ontology Engineer 🕒 2 days ago Evnek 51 - 200 🤖 Artificial Intelligence 🏢 Enterprise 🤝 B2B Website LinkedIn All Job Openings Ontology Engineer designing and maintaining semantic knowledge models. Collaborating with AI engineers to improve data integration and interoperability for enterprise applications. 🇮🇳 India – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 👷🏻‍♀️ Engineer Python Disaster Recovery Engineer 🕒 3 days ago Sutherland 10,000+ employees 🤝 B2B 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings Disaster Recovery Engineer at Sutherland implementing and supporting Disaster Recovery solutions across various environments. Collaborating with multiple teams to maintain cloud and data center operations. 🇮🇳 India – Remote 💰 $300M Secondary Market on 2014-10 ⏰ Full Time 🟡 Mid-level 🟠 Senior 👷🏻‍♀️ Engineer Cloud Linux SailPoint ISC Engineer, Consultant 🕒 4 days ago Elfonze Technologies 201 - 500 🏢 Enterprise ☁️ SaaS 🤝 B2B Website LinkedIn All Job Openings SailPoint ISC Engineer responsible for identity governance setup. Onboarding applications and configuring identity profiles for enterprise needs. 🇮🇳 India – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 👷🏻‍♀️ Engineer Cloud ITSM Observability Engineer 🕒 5 days ago Miratech 501 - 1000 Website LinkedIn All Job Openings Observability Engineer at Miratech, implementing observability solutions across applications and infrastructure. Collaborating with engineering teams to enhance operational efficiency and service reliability. 🇮🇳 India – Remote 💰 Private Equity Round on 2022-04 ⏰ Full Time 🟡 Mid-level 🟠 Senior 👷🏻‍♀️ Engineer AWS Cloud Distributed Systems Google Cloud Platform Grafana ITSM Python ServiceNow Splunk Terraform Supportability Engineer – Level 3 🕒 6 days ago Twilio 5001 - 10000 Website LinkedIn All Job Openings Supportability Engineer focused on embedding customer supportability in product development lifecycle. Collaborating between Customer Experience and R&D to drive product excellence at Twilio. 🇮🇳 India – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 👷🏻‍♀️ Engineer Java JavaScript Node.js Python Splunk SQL Tableau VoIP View More Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs