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SAP BODS Developer

Exclusive opportunity

Onsite

SAP BODS Developer

Global Business Ser. 4u

SAP BODS Developer

Skills

SQL QueriesData MiningPythonSAP HANAData AnalysisAWSSAP ERPPySparkTalendAzure

15 days ago

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Important information


Contract type:

Permanent

Location:

Chicago, IL, USA

Work mode:

Onsite

Published on:

9 October 2026

What they need


Chicago, IL (Onsite) Contract Job Description DAY-TO-DAY RESPONSIBILITIES

  • Lead the data conversion team through scoping, extraction, mapping, and loading of master and transactional data sets.
  • Design and implement components to migrate data from legacy platforms (PeopleSoft, BAAN, Infor LN) to SAP ERP.
  • Write programs and scripts to automate data extraction, cleansing, transformation, and load (ETL) processes.
  • Identify and resolve data duplication issues and maintain data quality through rigorous cleansing.
  • Create and maintain data mapping documents to map source data attributes to Business Partner (customer/supplier) attributes.
  • Collaborate with cross-functional technology and architecture groups to implement data-centric solutions.

Required Skills

  • Syniti ADM for SAP (4+ years)
  • Data Migration/Engineering within SAP Hana environments (2+ years)
  • Technical Data Extraction from legacy systems like PeopleSoft, BAAN, or Infor LN (4+ years)

Additional Desired Skills

  • Proficiency in Python, Spark, PySpark, or PL/SQL.
  • Experience with Azure Data Factory, Synapse, or AWS Glue.
  • Experience with Data Quality products (Informatica DQ, Talend, or Atacama).
  • Master Data Management (MDM) concepts.

IDEAL CANDIDATE PROFILE The ideal candidate is a technical lead with deep expertise in SAP data migrations and the Syniti platform. They should possess a strong data analysis background, excellent documentation skills, and the ability to manage complex data conversions independently in a high-stakes environment.

Job Responsibilities

  • Lead the end-to-end data conversion process from legacy platforms to SAP ERP.
  • Develop and automate scripts for data extraction, cleansing, and loading.
  • Map complex source data attributes to SAP Business Partner requirements.
  • Monitor data quality and implement preventive measures for data duplication.

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