Data Engineer 6 Microsoft Azure (Microsoft Fabric)
- Role
- Data Engineering
- Experience
- Mid
- Employment
- Full-time
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Mid-level Data Engineer (3 6 years) with strong Microsoft Fabric and Azure experience. Must be proficient in Azure Data Factory, SQL and Python/PySpark and have Power BI/DAX experience. Applicants must be located in India.
Core skills
Required skills
Optional skills
Role OverviewRecruitment Hub 365 is seeking an experienced Data Engineer – Microsoft Azure with strong expertise in Microsoft Fabric to design, build, and optimize enterprise data platforms. The ideal candidate will develop scalable ETL/ELT pipelines, implement modern Data Lake/Lakehouse architectures, and deliver reliable analytics solutions using Azure and Microsoft Fabric.ResponsibilitiesDesign and develop solutions using Microsoft Fabric, including Lakehouse, Data Warehouse, Data Factory, and Dataflows Gen2.Build and maintain scalable ETL/ELT pipelines.Develop Data Lake/Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold).Integrate data from SAP, Salesforce, ERP systems, APIs, databases, and flat files.Create optimized data models using Star Schema, Fact and Dimension Tables.Develop and maintain Power BI Semantic Models and DAX measures.Build enterprise reporting and analytics solutions.Collaborate with business stakeholders to understand requirements and deliver data-driven solutions.Monitor, troubleshoot, and optimize production data pipelines.Ensure data quality, performance, scalability, and reliability.Requirements3–5 years of experience in Data Engineering, BI, Analytics Engineering, or Data Consulting.Strong hands-on experience with Microsoft Fabric.Proficiency in SQL, Azure Data Factory, and Python/PySpark.Strong experience in ETL/ELT development.Experience implementing Data Lake/Lakehouse solutions.Strong understanding of Medallion Architecture.Experience with Data Modelling, including Star Schema, Fact and Dimension Tables.Hands-on experience with Power BI, DAX, and Semantic Models.Experience integrating data from SAP, Salesforce, ERP applications, APIs, and databases.Strong analytical, communication, and stakeholder management skills.Nice to HaveMicrosoft Fabric CertificationAzure Data Engineer CertificationPower BI CertificationExperience with Azure DevOps and GitExposure to Databricks or SnowflakeKnowledge of Data Governance and Cloud Data PlatformsSkillsMicrosoft FabricAzure Data FactorySQLPython/PySparkPower BI
What you'll do
- Design and develop solutions using Microsoft Fabric, including Lakehouse, Data Warehouse, Data Factory, and Dataflows Gen2.
- Build and maintain scalable ETL/ELT pipelines.
- Develop Data Lake/Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold).
- Create optimized data models using Star Schema, Fact and Dimension Tables.
- Develop and maintain Power BI Semantic Models and DAX measures.
What they require
- 3 6 years of experience in Data Engineering, BI, Analytics Engineering, or Data Consulting.
- Strong hands-on experience with Microsoft Fabric.
- Proficiency in SQL, Azure Data Factory, and Python/PySpark.
- Experience integrating data from SAP, Salesforce, ERP applications, APIs, and databases.
- Hands-on experience with Power BI, DAX, and Semantic Models.