Note: The job is a remote job and is open to candidates in USA. Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. They are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems, focusing on integrating and standardizing data from various ERP platforms into unified data models.

Responsibilities

• Build ERP Data Integration Pipelines
• Design and develop scalable ETL/ELT pipelines to ingest and transform data from enterprise systems including:
• Sage ERP (e.g., Sage X3, Sage Intacct, Sage 300)
• Baan / Infor LN
• 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

Skills

• 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development
• Experience working with enterprise ERP systems, such as Sage ERP platforms, Baan / Infor LN, Oracle ERP / Oracle Fusion, NetSuite or other SaaS ERPs
• Experience supporting ERP transformation, migration, or multi-system integration initiatives
• Advanced SQL
• Strong Python for data engineering workflows and pipeline development
• Experience building ETL/ELT pipelines
• Experience processing large-scale enterprise datasets
• Familiarity with modern data architectures and distributed processing
• Strong understanding of relational data models, dimensional models, and canonical enterprise data models
• Understanding of ERP business domains including Finance, Supply Chain, and Enterprise Master Data
• Ability to understand complex enterprise systems and business processes, and design data solutions that work across multiple platforms
• Capability to work with functional teams and convert business rules into scalable data transformation logic
• Strong analytical skills to diagnose and resolve enterprise data challenges
• Comfortable working with cross-functional teams including engineers, ERP functional consultants, and business stakeholders
• Ability to take ownership of complex data problems and deliver production-grade solutions that scale across enterprise environments

Company Overview

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