Role Overview
Recruitment 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.
Responsibilities
- 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).
- 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.
Requirements
- 3–5 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 Have
- Microsoft Fabric Certification
- Azure Data Engineer Certification
- Power BI Certification
- Experience with Azure DevOps and Git
- Exposure to Databricks or Snowflake
- Knowledge of Data Governance and Cloud Data Platforms
Skills
- Microsoft Fabric
- Azure Data Factory
- SQL
- Python/PySpark
- Power BI