Sr. SAP ETL Developer

Piper Companies is seeking an Senior SAP ETL Developer for an established construction company based in Toronto, ON. The Senior SAP ETL Developer will be responsible for designing and leading the integration of SAP and non-SAP data into a cloud-based enterprise data platform to support analytics, reporting, and machine learning initiatives.

Responsibilities of the Senior SAP ETL Developer :

• Design and implement scalable ETL pipelines to extract and harmonize data from SAP ECC, S / 4 HANA, and other ERP systems into a unified data platform.
• Collaborate with cross-functional teams to define data requirements, canonical models, and ensure alignment with business needs across finance, supply chain, and manufacturing.
• Develop and optimize data transformations using tools like Azure Data Factory, Alteryx, SQL, and PySpark for analytics and reporting in Microsoft Fabric.
• Ensure data quality and governance by establishing standards, monitoring data integrity, and resolving data issues.
• Stay current with evolving technologies in the SAP and Microsoft data ecosystems to inform architectural decisions and tool selection.

Qualifications of the Senior SAP ETL Developer :

Compensation for the Senior SAP ETL Developer :

Keywords :

Senior SAP ETL Developer, SAP Data Integration Specialist, SAP Data Engineer, SAP ETL Architect, Enterprise Data Engineer, Cloud Data Integration Engineer, SAP BI Developer, SAP HANA Data Engineer, Azure Data Engineer, SAP S / 4HANA Integration Specialist, SAP ECC, SAP S / 4HANA, SAP HANA, SAP Datasphere, SAP BW, Microsoft Azure, Azure Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, OneLake, JD Edwards, SQL Server, Snowflake, AWS, Google Cloud Platform (GCP), Azure Data Factory, Informatica, Alteryx, SSIS, SAP Data Services, SAP Business Data Cloud, PySpark, Apache Spark, Databricks, Microsoft Power BI, SAP CDS Views, SAP ODP, SAP BAPIs, SAP RFCs,

SQL, Python, PySpark, ABAP (for interpretation), JSON, XML, , ETL / ELT, Data Modeling, Canonical Data Models, Data Warehousing, Star Schema, Kimball Methodology, Data Federation, Data Replication, Data Governance, Data Quality, Data Security, PII Compliance, Machine Learning Readiness, Semantic Modeling

This job opens for applications on 6 / / . Applications for this job will be accepted for at least days from the posting date.

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