Ehub Global Inc

Azure Datalake Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Data Lake Engineer, remote, with a contract length of unknown duration. Pay rate is unspecified. Key skills include SAP ECC data integration, Azure Data Factory, Databricks, and ETL processes. Experience with SAP modules is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
January 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Azure Datalake #Data Quality #Azure Data Factory #ADF (Azure Data Factory) #BI (Business Intelligence) #Security #Spark (Apache Spark) #Data Processing #Data Architecture #ADLS (Azure Data Lake Storage) #Databricks #"ETL (Extract #Transform #Load)" #Synapse #Azure Databricks #Microsoft Azure #Storage #Data Integration #Microsoft Power BI #Data Ingestion #Compliance #Scala #Azure #Data Pipeline #SAP #Data Lake #Azure ADLS (Azure Data Lake Storage) #Data Mapping
Role description
Role : Azure data lake Engineer Location : Remote Looking Senior candidate We are seeking an experienced Azure Data Lake Engineer with strong expertise in SAP ECC data integration to design, build, and support scalable data lake solutions on Microsoft Azure. The role focuses on extracting, transforming, and optimizing SAP ECC data for analytics, reporting, and downstream enterprise systems. Key Responsibilities • Design and implement Azure Data Lake Storage Gen2 solutions for SAP ECC data • Build and manage SAP data ingestion pipelines using Azure Data Factory, Synapse Pipelines, or SAP connectors • Extract data from SAP ECC modules (FI, CO, MM, SD, PP, etc.) • Implement ETL/ELT frameworks to process SAP structured and semi-structured data • Work with IDocs, BAPIs, RFCs, OData, CDS views, and SAP extractors • Develop data processing solutions using Azure Databricks / Spark • Optimize data models for reporting, analytics, and Power BI • Ensure data quality, validation, and reconciliation between SAP ECC and Azure • Implement security, governance, and compliance for SAP data in Azure • Monitor and troubleshoot data pipelines and SAP extraction jobs • Collaborate with SAP functional teams, data architects, and BI teams • Document data mappings, lineage, and technical designs