Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform
Designs and builds scalable ETL/ELT pipelines to harmonize data from ERP systems like SAP, Oracle, and NetSuite into unified models. Requires 5+ years in data engineering, advanced SQL/Python, and ERP data expertise for cross-system integration.
About the job
Key Responsibilities
Build ERP Data Integration Pipelines
- Design and develop scalable ETL/ELT pipelines to ingest and transform data from enterprise systems including:
- SAP ECC / S4HANA
- Oracle ERP / Oracle Fusion
- SaaS ERP platforms such as NetSuite
- Legacy ERP and adjacent enterprise systems
- Implement transformation pipelines using SQL and Python.
Implement Data Harmonization Logic
- Design and maintain data harmonization frameworks that standardize enterprise datasets across systems.
- Define and implement cross-system mapping rules for enterprise data domains including:
- Customers / Business Partners
- Vendors / Suppliers
- Materials / Products
- Chart of Accounts
- Cost Centers and organizational structures
- Financial and operational transactions.
Design Enterprise Data Models
- Develop canonical enterprise data models that normalize ERP data across heterogeneous systems.
- Implement logical and physical models supporting:
- relational data platforms
- dimensional analytics models
- enterprise semantic layers.
Translate Functional Requirements into Data Logic
- Work closely with ERP functional teams and Functional Data Experts (FDEs) to translate business rules into technical implementations.
- Convert functional requirements into:
- SQL transformation logic
- Python-based processing pipelines
- validation and reconciliation frameworks.
Improve Data Quality and Governance
- Implement data validation, reconciliation, and monitoring frameworks.
- Identify and resolve enterprise data issues such as:
- duplicate master data
- inconsistent definitions across ERP systems
- incomplete or legacy datasets
- configuration-driven inconsistencies.
Required Skills & Experience
Professional Experience
- 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development.
- Experience working with enterprise ERP systems, such as:
- SAP (ECC or S/4HANA)
- Oracle ERP / Oracle Fusion
- NetSuite or other SaaS ERPs.
- Experience supporting ERP transformation, migration, or multi-system integration initiatives.
Technical Skills
Programming
- Advanced SQL
- Strong Python for data engineering workflows and pipeline development.
Data Engineering
- Experience building ETL/ELT pipelines.
- Experience processing large-scale enterprise datasets.
- Familiarity with modern data architectures and distributed processing.
Data Modeling
- Strong understanding of:
- relational data models
- dimensional models
- canonical enterprise data models.
ERP Data Knowledge
- Understanding of ERP business domains including:
- Finance (General Ledger, Accounts Payable / Receivable, Financial transactions)
- Supply Chain (Materials and product data, Procurement and vendor management, Inventory and logistics)
- Enterprise Master Data (Customers, Vendors, Products, Organizational structures).
Skills
SQL, Python, ETL, ELT, SAP, S/4Hana, Oracle Erp, NetSuite, Data Modeling, Data Pipelines
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