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About the role
As an Azure Data Engineer specializing in SAP integration to Microsoft Fabric, your role will involve building scalable enterprise data pipelines using your expertise in Databricks, Python, Azure Data Services, and SAP data integration. Key Responsibilities: - Develop and maintain Azure Data Factory / Fabric pipelines for efficient data flow. - Utilize Azure Data Lake Storage (ADLS Gen2) to store and manage large volumes of data. - Work with Microsoft Fabric components such as Lakehouse and Warehouse for data processing. - Leverage Databricks, Python, and PySpark for data transformation and analysis. - Proficient in SQL and data modeling techniques to optimize data pipelines. - Extract SAP data and possess a deep understanding of SAP BDC for seamless integration. Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or related field. - 4+ years of experience in Azure Data Engineering with a total of 6-10 years in the IT industry. - Strong expertise in Azure Data Factory, Azure Data Lake Storage, Microsoft Fabric, Databricks, Python, PySpark, SQL, and SAP data extraction. - Excellent problem-solving skills and ability to work in a fast-paced environment. Please note: The job is based in Gurgaon with 5 days onsite at the JSL Office. The salary offered is 1520 LPA for this full-time position. As an Azure Data Engineer specializing in SAP integration to Microsoft Fabric, your role will involve building scalable enterprise data pipelines using your expertise in Databricks, Python, Azure Data Services, and SAP data integration. Key Responsibilities: - Develop and maintain Azure Data Factory / Fabric pipelines for efficient data flow. - Utilize Azure Data Lake Storage (ADLS Gen2) to store and manage large volumes of data. - Work with Microsoft Fabric components such as Lakehouse and Warehouse for data processing. - Leverage Databricks, Python, and PySpark for data transformation and analysis. - Proficient in SQL and data modeling techniques to optimize data pipelines. - Extract SAP data and possess a deep understanding of SAP BDC for seamless integration. Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or related field. - 4+ years of experience in Azure Data Engineering with a total of 6-10 years in the IT industry. - Strong expertise in Azure Data Factory, Azure Data Lake Storage, Microsoft Fabric, Databricks, Python, PySpark, SQL, and SAP data extraction. - Excellent problem-solving skills and ability to work in a fast-paced environment. Please note: The job is based in Gurgaon with 5 days onsite at the JSL Office. The salary offered is 1520 LPA for this full-time position.
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