# Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform

**Company:** [Tessera Labs](https://hotfix.jobs/companies/tessera-labs)
**Location:** San Jose, CA, New York, NY
**Role:** Data Engineering
**Salary:** $180k – $250k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, ETL, ELT, SAP, S/4Hana, Oracle Erp, NetSuite, Data Modeling, Data Pipelines
**Posted:** 2026-03-05

> 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.

## Job Description

## 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).

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