Senior ERP Data Engineer: Harmonize & Unify Enterprise Data
Tessera Labs
Turn this role into an interview — a resume and cover letter built around what this employer wants.
Job summary
Tessera Labs is seeking a Senior Data Engineer to design scalable data solutions that harmonize enterprise data across ERP ecosystems. You will integrate and standardize data from Sage, Baan/Infor LN, Oracle ERP, and NetSuite into unified models and collaborate with ERP teams to translate complex business logic into robust data pipelines.
The role emphasizes strong SQL, Python, data modeling, and ERP domain knowledge to provide a trusted data backbone for analytics and automation across
Qualifications
- 5-8+ years of experience in Data Engineering, Data Integration, or Data Platform development.
- Experience with enterprise ERP systems and multi-system data integration initiatives.
- Strong SQL and Python for data pipelines.
- Experience building ETL/ELT pipelines and processing large datasets.
- Familiarity with modern data architectures and distributed processing.
Responsibilities
- Build ERP data integration pipelines across Sage, Baan/Infor LN, Oracle ERP, NetSuite, and legacy systems.
- Design data harmonization logic and cross-system mapping rules (Customers, Vendors, Materials, COA).
- Develop canonical enterprise data models for relational and dimensional analytics.
- Translate business rules into SQL/Python data transformations and validation frameworks.
- Improve data quality, governance, reconciliation, and monitoring across systems.
Skills
Tools
Job description
Tessera Labs is seeking a Senior Data Engineer to design scalable data solutions that harmonize enterprise data across ERP ecosystems. You will integrate and standardize data from Sage, Baan/Infor LN, Oracle ERP, and NetSuite into unified models and collaborate with ERP teams to translate complex business logic into robust data pipelines.
The role emphasizes strong SQL, Python, data modeling, and ERP domain knowledge to provide a trusted data backbone for analytics and automation across
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
