AI AXISS INC
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer focused on SAP and Cloud Data Migration, requiring 10+ years of data engineering experience, including 4+ years in development. Key skills include Python, Spark, SQL, and ETL/ELT pipeline design. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Azure Data Factory #Data Migration #SAP Hana #Python #Data Engineering #Visualization #Automation #Pandas #Spark (Apache Spark) #MDM (Master Data Management) #PeopleSoft #PySpark #Spark SQL #ADLS (Azure Data Lake Storage) #SQL (Structured Query Language) #Informatica #Cloud #ADF (Azure Data Factory) #Data Quality #Migration #SAP #"ETL (Extract #Transform #Load)" #Data Management #Synapse #Talend #Azure
Role description
Data Engineer Lead (SAP & Cloud Data Migration)
VISA : NO GC , NO OPT
Experience:
Need 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 (SAP & Cloud Data Migration)
VISA : NO GC , NO OPT
Experience:
Need 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.
