Jobs via Dice

Data Engineer With Strong SAP ERP Experience

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (Contract – 12 Months) requiring strong experience in Microsoft Fabric, PySpark, and SQL. Ideal candidates should have ERP data expertise, especially with SAP, and experience in multinational environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 26, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Engineering #Data Ingestion #SAP #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #PySpark #Scala #SQL (Structured Query Language) #Azure #Datasets #Data Processing
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Digital Minds Global Technologies Inc., is seeking the following. Apply via Dice today! Data Engineer (Contract – 12 Months | Immediate) Role Summary Teledyne is seeking a hands‑on Data Engineer with deep experience in Microsoft Fabric, PySpark, SparkSQL and T-SQL to help implement, optimize, and operationalize the Fabric data platform. A key responsibility of this role will be knowledge transfer to Teledyne’s internal development team. Key Responsibilities Build and maintain data ingestion and transformation pipelines within Microsoft Fabric Medallion Architecture (Bronze → Silver → Gold). Develop scalable and efficient data processing using PySpark, SparkSQL, T-SQL or other approaches as appropriate and provide guidance on best practices for use of each. Support ingestion and transformation of ERP data (SAP and other core ERPs). Establish engineering best practices for Fabric performance, reliability, and cost optimization. Mentor and train Teledyne engineers so experienced SQL developers can transition to Fabric/PySpark within the contract period. Document patterns, standards, and operational processes. Required Experience Strong hands‑on experience with Microsoft Fabric and PySpark. Solid background working with ERP datasets, ideally SAP. Prior experience in multinational enterprise environments. Strong SQL skills and ability to translate relational thinking into modern data engineering patterns. Proven experience performing knowledge transfer to internal teams. Experience with Azure data services is a plus