Job Description
Job Title: Senior SAP ETL Developer
Location: Remote (Ontario)
Department: Information Technology
Reports to: Director, IT
Salary: $120,000 - 145,000 per year
Summary:
The Senior SAP ETL Developer will lead the integration of SAP ECC and SAP S/4 HANA data into a cloud-based Enterprise Data Platform (EDP). This role combines deep SAP expertise with advanced ETL and cloud-native data engineering skills to build scalable pipelines for analytics, reporting, and machine learning.
Key Responsibilities:
SAP Data Integration (70%)
- Design and implement ETL pipelines from SAP ECC, S/4 HANA, BW, and Datasphere to Microsoft Fabric.
- Use tools like BODS, ABAP extracts, CDS views, ODP, RFCs, and BAPIs.
- Integrate non-SAP sources (e.g., JD Edwards) into a unified platform.
- Ensure data quality, security, and alignment with business needs.
- Review ABAP logic and legacy transformation rules.
- Support historical reporting and semantic modeling via HANA and BW.
- Document processes and improve integration frameworks.
Cloud ETL & Data Engineering (30%)
- Build transformations in SQL, Python, and PySpark within Microsoft Fabric (Data Factory, Dataflows Gen2, Synapse).
- Optimize performance, cost, and security in cloud environments.
- Design canonical models and ensure downstream usability (e.g., Power BI).
Governance & Collaboration
- Enforce data quality and governance standards.
- Collaborate with architects, analysts, and ERP admins to gather requirements.
- Provide technical guidance on SAP data and enterprise modeling.
Required Skills & Experience
- 10–15 years of IT experience, 8+ in SAP (ECC, S/4 HANA).
- Strong in SAP modules (Finance, Supply Chain, Procurement, Production).
- Experience with BODS, ABAP, SAP Datasphere, and CDC tools (Theobald, DAB).
- Proficient in SQL, ETL tools (ADF, Informatica, Alteryx), and cloud data platforms.
- Skilled in data modeling (Kimball, star schema) and large-scale pipeline design.
- Knowledge of data privacy regulations and PII handling.
Preferred Qualifications
- SAP certifications (S/4 HANA, Datasphere).
- Experience with Microsoft Fabric, Azure Synapse, and PySpark.
- Background in delivering data solutions for finance, supply chain, or sales.