Azure datalake engineer jobs in United States
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eHub Global Inc · 5 hours ago

Azure datalake engineer

positionUnited States
timeContract
remoteRemote
senioritySenior Level
money$75/hr - $90/hr

eHub Global Inc is 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.

EmploymentStaffing AgencyTraining
Hiring Manager
Siddarth Kumar
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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

Qualification

Azure Data Lake Storage Gen2SAP ECC data integrationAzure Data FactoryETL/ELT frameworksAzure DatabricksPower BIData quality validationCollaboration with teamsDocumentation skills

Required

Strong expertise in SAP ECC data integration
Experience designing and implementing Azure Data Lake Storage Gen2 solutions for SAP ECC data
Ability to build and manage SAP data ingestion pipelines using Azure Data Factory, Synapse Pipelines, or SAP connectors
Experience extracting data from SAP ECC modules (FI, CO, MM, SD, PP, etc.)
Experience implementing ETL/ELT frameworks to process SAP structured and semi-structured data
Familiarity with IDocs, BAPIs, RFCs, OData, CDS views, and SAP extractors
Experience developing data processing solutions using Azure Databricks / Spark
Ability to optimize data models for reporting, analytics, and Power BI
Experience ensuring data quality, validation, and reconciliation between SAP ECC and Azure
Knowledge of implementing security, governance, and compliance for SAP data in Azure
Ability to monitor and troubleshoot data pipelines and SAP extraction jobs
Experience collaborating with SAP functional teams, data architects, and BI teams
Ability to document data mappings, lineage, and technical designs

Preferred

Senior candidate

Company

eHub Global Inc

twittertwitter
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Custom Workforce & HR solutions Services.
dateFounded in 2017
location
Dallas, Texas, USA
people-size51-200 employees
web-link
https://www.ehub.global

Funding

Current Stage
Growth Stage

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