

AI AXISS INC
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 8–10+ years of data engineering experience, focusing on large-scale migrations to SAP ERP/SAP HANA. Required skills include Python, Spark, SQL, and ETL design. On-site in Lisle, Illinois. Contract length and pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Lisle, IL
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🧠 - Skills detailed
#Spark SQL #Visualization #Python #Pandas #Informatica #MDM (Master Data Management) #Data Quality #Azure #Azure Data Factory #ADLS (Azure Data Lake Storage) #PySpark #Data Management #Synapse #SAP Hana #Spark (Apache Spark) #Automation #Migration #Data Engineering #PeopleSoft #"ETL (Extract #Transform #Load)" #Talend #ADF (Azure Data Factory) #SQL (Structured Query Language) #Data Migration #SAP
Role description
Data Engineer Lead and Data Engineer Senior (Locals to Lisle, Illinois, United States or Locals to Illinois)
Data Engineer Lead and Senior
Number of Positions - 4
Experience:
8–10+ years in data engineering with 4+ years hands‑on development and architecture experience.
Core Strengths:
• Leads large-scale data migration and conversion programs from legacy systems (PeopleSoft, BAAN, Infor LN) to SAP ERP / SAP HANA.
• Designs and governs end‑to‑end ETL/ELT pipelines, including extraction, transformation, cleansing, mapping, and loading.
• Expert in Python, Spark/PySpark, SQL/PLSQL, Pandas, and automation of data quality checks.
• Strong command of data quality, master data management, duplication prevention, and governance frameworks.
• Collaborates with business, architecture, and technology teams to define standards, templates, and best practices.
Preferred:
Hands-on with Syniti, Azure Data Factory, Azure Synapse, ADLS, Informatica/Talend/Atacama DQ tools, data quality dashboards, and modern data warehousing & visualization practices.
Data Engineer Lead and Data Engineer Senior (Locals to Lisle, Illinois, United States or Locals to Illinois)
Data Engineer Lead and Senior
Number of Positions - 4
Experience:
8–10+ years in data engineering with 4+ years hands‑on development and architecture experience.
Core Strengths:
• Leads large-scale data migration and conversion programs from legacy systems (PeopleSoft, BAAN, Infor LN) to SAP ERP / SAP HANA.
• Designs and governs end‑to‑end ETL/ELT pipelines, including extraction, transformation, cleansing, mapping, and loading.
• Expert in Python, Spark/PySpark, SQL/PLSQL, Pandas, and automation of data quality checks.
• Strong command of data quality, master data management, duplication prevention, and governance frameworks.
• Collaborates with business, architecture, and technology teams to define standards, templates, and best practices.
Preferred:
Hands-on with Syniti, Azure Data Factory, Azure Synapse, ADLS, Informatica/Talend/Atacama DQ tools, data quality dashboards, and modern data warehousing & visualization practices.






