Job Title : Data Engineer Azure (SAP Integration to Microsoft Fabric)

Experience : 6- 10 Years

Location : Gurgaon (JSL Office) 5 Days Onsite

About the Role :

Mindsprint is seeking a highly skilled Azure Data Engineer to design, develop, and manage scalable data solutions integrating SAP data into Microsoft Fabric. The ideal candidate will possess strong expertise in Azure Data Engineering, Databricks, Python, and SAP data extraction mechanisms, with hands-on experience building production-grade data pipelines and modern analytics platforms.

The role focuses on enabling seamless data movement, transformation, and analytics across enterprise systems while ensuring data quality, scalability, security, and performance.

Key Responsibilities :

- Design and implement end-to-end data pipelines to extract data from SAP systems and load into Microsoft Fabric.

- Develop and maintain ETL/ELT workflows using Azure Data Factory and Fabric Data Pipelines.

- Build scalable data ingestion frameworks using Azure services and Databricks.

- Transform and model data within Microsoft Fabric Lakehouse and Data Warehouse environments.

- Collaborate with SAP teams to understand BDC processes, SAP tables, and extraction mechanisms.

- Ensure data accuracy, validation, reconciliation, and quality across source and target systems.

- Optimize pipelines for performance, scalability, reliability, and cost efficiency.

- Implement monitoring, alerting, logging, and operational support processes.

- Support data governance, security, and compliance requirements.

- Work closely with analytics and BI teams to enable reporting and self-service analytics.

Mandatory Skills :

- Strong experience with Azure Data Engineering services.

- Azure Data Factory (ADF) / Microsoft Fabric Data Pipelines.

- Azure Data Lake Storage (ADLS Gen2).

- Microsoft Fabric (Lakehouse, Data Warehouse).

- Databricks.

- Python and PySpark.

- SQL and database development.

- ETL/ELT pipeline development and orchestration.

Highly Desired Skills :

- Hands-on experience with SAP data extraction.

- SAP BDC (Batch Data Communication).

- Understanding of SAP tables, structures, and data flow.

- Data transformation and integration frameworks.

- Strong understanding of dimensional data modeling.

- Enterprise-scale data platform implementation experience.

Preferred Skills :

- Microsoft Fabric end-to-end implementation experience.

- Delta Lake and Spark-based processing.

- Power BI integration and reporting.

- Azure DevOps and CI/CD pipeline implementation.

- Real-time or near real-time data ingestion architectures.

- Data governance frameworks and best practices.

- Azure Certifications (DP-203) and/or Microsoft Fabric Certification.

Required Experience :

- 6- 10 years of overall IT experience.

- Minimum 4+ years of relevant experience in Azure Data Engineering.

- Hands-on experience delivering enterprise data integration projects.

- Experience working in Agile development environments.

Educational Qualifications :

- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field.

Success Criteria :

- Reliable and efficient SAP-to-Fabric data pipelines.

- High data quality, consistency, and accuracy.

- Optimized and scalable data architecture.

- Effective collaboration with SAP, Data Engineering, and Analytics teams.

- Robust monitoring, governance, and operational excellence.