Microsoft Fabric Developer \/ Data Engineer Experience: 3+ Years Role Type: Full-Time Primary Technology: Microsoft Fabric \/ Azure Data Platform Role Overview We are looking for a hands-on Microsoft Fabric Developer \/ Data Engineer with 3+ years of experience in data engineering and Azure-based data solutions. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines and modern data solutions using Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Fabric Data Factory, Python\/PySpark and SQL . The ideal candidate should have practical experience building end-to-end data solutions, integrating multiple enterprise data sources, and supporting analytics and reporting workloads. Key Responsibilities Design, develop and maintain data solutions using Microsoft Fabric . Build and manage Fabric Lakehouse, Data Warehouse and OneLake solutions. Develop scalable ETL\/ELT pipelines using Fabric Data Factory, Data Pipelines and Dataflows Gen2. Develop data transformation and processing workflows using Python, PySpark, SQL and Fabric Notebooks . Ingest and integrate data from databases, APIs, files, Azure services and other enterprise systems. Implement Lakehouse\/Medallion architecture including Bronze, Silver and Gold data layers. Design and optimize data models for analytics, reporting and downstream applications. Optimize SQL queries, Spark workloads and pipelines for performance and scalability. Implement data validation, quality checks, monitoring, logging and error handling. Work with development, analytics and business teams to translate requirements into scalable technical solutions. Support deployment and CI\/CD processes for Microsoft Fabric workloads. Required Technical Skills 3+ years of Data Engineering \/ Azure Data Platform experience Strong hands-on experience with Microsoft Fabric Fabric Data Factory, Pipelines and Dataflows Gen2 OneLake and Fabric Lakehouse Fabric Data Warehouse Fabric Notebooks Strong SQL \/ T-SQL Python and PySpark ETL\/ELT and data pipeline development Data warehousing and data modelling Azure ecosystem such as Azure Data Factory, Azure SQL, ADLS and\/or Azure Synapse Experience integrating REST APIs and multiple enterprise data sources Understanding of Delta Lake and Medallion Architecture Git\/Azure DevOps and CI\/CD fundamentals Good to Have Power BI, DAX, Semantic Models and Direct Lake Real-time analytics or streaming experience Azure OpenAI or other AI\/ML integration experience Experience supporting enterprise-scale data platforms Data governance, security and access-control experience Microsoft DP-600 \/ Fabric Analytics Engineer or related Azure certification Preferred Candidate We are looking for someone who has actually built and deployed Microsoft Fabric solutions , rather than having only certification or theoretical exposure. The candidate should be comfortable explaining the architecture, pipelines, transformations and Fabric components they personally implemented in previous projects. 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EbizON Digital · Remote
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Job Description View All Jobs View Our Website Thanks for visiting our Career Page. Please review our open positions and apply to the positions that match your qualifications. About Us: We’re an international team who specialise in building technology products & then helping brands grow with multi-channel demand generation marketing. We have in-house experience working for Fortune 500 companies, e-commerce brands, technology Saa S companies & VC-funded startups. We have assisted over a dozen billion dollar companies with consulting, technology, operations, and digital agency capabilities in managing their unique brand online. We have a fun and friendly work culture that also encourages employees personally and professionally. Ebiz ON has many values that are important to our success as a company: integrity, creativity, innovation, mindfulness and teamwork. We thrive on the idea of making life better for people by providing them with peace of mind. The people here love what they do because everyone from management all way down understands how much it means living up close-to someones' ideals which allows every day feel less stressful knowing each person has somebody cheering him. Equal Opportunity Employer: Ebiz ON is committed to providing equal opportunity for all employees, and we will consider any qualified applicant without regard to race or other prohibited characteristics. Flexible Timings: Flexible working hours are the new normal. We at Ebiz On believe giving employees freedom to choose when to work, how to work. It helps them thrive and also balance their life better. Global Clients Exposure: Our goal is to provide excellent customer service and we want our employees to work closely with clients from around the world. That's why you'll find us working closely with clients from around the world through Microsoft Teams, Zoom and other video conferencing tools. Retreats & Celebrations: With annual retreats, quarterly town halls and festive celebrations we have a lot of opportunities to get together. Leave Policy: Leave policies allow for 52 weekends and 32 days of leave per year, plus maternity, paternity or sabbatical allowances. Microsoft Fabric Developer / Data Engineer Remote Full Time Mid Level Share Microsoft Fabric Developer / Data Engineer Experience: 3+ Years Role Type: Full-Time Primary Technology: Microsoft Fabric / Azure Data Platform Role Overview We are looking for a hands-on Microsoft Fabric Developer / Data Engineer with 3+ years of experience in data engineering and Azure-based data solutions. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines and modern data solutions using Microsoft Fabric, One Lake, Lakehouse, Data Warehouse, Fabric Data Factory, Python/Py Spark and SQL . The ideal candidate should have practical experience building end-to-end data solutions, integrating multiple enterprise data sources, and supporting analytics and reporting workloads. Key Responsibilities Design, develop and maintain data solutions using Microsoft Fabric . Build and manage Fabric Lakehouse, Data Warehouse and One Lake solutions. Develop scalable ETL/ELT pipelines using Fabric Data Factory, Data Pipelines and Dataflows Gen2. Develop data transformation and processing workflows using Python, Py Spark, SQL and Fabric Notebooks . Ingest and integrate data from databases, APIs, files, Azure services and other enterprise systems. Implement Lakehouse/Medallion architecture including Bronze, Silver and Gold data layers. Design and optimize data models for analytics, reporting and downstream applications. Optimize SQL queries, Spark workloads and pipelines for performance and scalability. Implement data validation, quality checks, monitoring, logging and error handling. Work with development, analytics and business teams to translate requirements into scalable technical solutions. Support deployment and CI/CD processes for Microsoft Fabric workloads. Required Technical Skills 3+ years of Data Engineering / Azure Data Platform experience Strong hands-on experience with Microsoft Fabric Fabric Data Factory, Pipelines and Dataflows Gen2 One Lake and Fabric Lakehouse Fabric Data Warehouse Fabric Notebooks Strong SQL / T-SQL Python and Py Spark ETL/ELT and data pipeline development Data warehousing and data modelling Azure ecosystem such as Azure Data Factory, Azure SQL, ADLS and/or Azure Synapse Experience integrating REST APIs and multiple enterprise data sources Understanding of Delta Lake and Medallion Architecture Git/Azure Dev Ops and CI/CD fundamentals Good to Have Power BI, DAX, Semantic Models and Direct Lake Real-time analytics or streaming experience Azure Open AI or other AI/ML integration experience Experience supporting enterprise-scale data platforms Data governance, security and access-control experience Microsoft DP-600 / Fabric Analytics Engineer or related Azure certification Preferred Candidate We are looking for someone who has actually built and deployed Microsoft Fabric solutions , rather than having only certification or theoretical exposure. The candidate should be comfortable explaining the architecture, pipelines, transformations and Fabric components they personally implemented in previous projects. Share Apply Apply for this position Required * First Name * Last Name * Email Address * Phone * Address Resume * We've received your resume. Click here to update it. Attach resume or Paste resume Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or Paste resume Paste your resume here or Attach resume file Human Check * Submit Application This website uses cookies and other analytics technologies. By selecting "Allow", you consent to the recording, use and sharing of your website activity by this website and its service providers. Allow Reject All Powered by
Collected experience requirement
3 years