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The BrimincSoftech is seeking a data engineering professional with 5+ years of experience to design, build, and manage end-to-end data pipelines. You will ingest SAP data into Azure-based platforms, and create scalable workflows using Scala, Spark, Python, and Alteryx.
Experience with Azure Data Factory, Databricks, Data Lake, Synapse, and Power BI reporting is highly valued. Strong collaboration with business and technical teams is essential.
Bangalore South, India | Posted on 03/02/2026
At The BrimincSoftech, we are a dynamic recruitment and talent solutions firmcommitted to connecting businesses with exceptional talent.Specializing in staff augmentation, permanent hiring, andcustomized workforce solutions, we partner with organizations topower their growth through people.
Employment Type:Full Time
Hands-on experience inScala, Spark, Python, SQL Server, and Alteryx
Experience indata ingestion from SAP systems (SAP ECC/S4 HANA) into Azure/AWS or other data platforms
Strong communication and stakeholder management skills
Positive, solution-oriented mindset
Experience withPower BIfor reporting and visualization
Knowledge ofSAP systems and workflows
Familiarity withVBA automation
5+ years of experience in Data Engineering or related roles
Proven experience in building and managing end-to-end data pipelines
Hands-on experience inSAP data extraction and ingestion into cloud data platforms
Design, build, and manage data pipelines usingAzure Data Factory, Azure Data bricks, and Azure Data Lake
Performdata ingestion from SAP systemsand integrate with Azure-based data platforms.
Develop and optimize data workflows usingScala, Spark, and Pythonfor large-scale processing
Implement and maintain data solutions usingAzure Synapse and SQL Server
Ensure data quality, scalability, governance, and security
Develop and maintain automation workflows usingAlteryx
Support reporting and dataset preparation (Power BI if required)
Collaborate with business and technical teams to deliver data solutions
Maintain clear documentation for processes and workflows