Data Engineer 3/4- Supply Chain Analytics jobs in United States
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Northrop Grumman Australia ยท 1 month ago

Data Engineer 3/4- Supply Chain Analytics

Northrop Grumman is a leading technology company with a focus on revolutionary systems impacting lives globally. The Principal Data Engineer will build, maintain, and optimize data pipelines for supply chain analytics, ensuring reliable data delivery from enterprise systems.

Defense & Space

Responsibilities

Design, code, test, and deploy production-grade data pipelines using Python/PySpark and SQL within the Databricks environment to ingest and transform Supply Chain data
Implement and maintain data extraction processes from SAP ERP systems, focusing on supply chain areas
Translate high-level design specifications into physical data models and structures, ensuring the effective implementation of dimensional data models tailored for Supply Chain analytics
Actively monitor pipeline health, troubleshoot production issues, and execute necessary fixes to ensure high data availability and accuracy for downstream reporting and analytics
Partner with Senior Engineers and Supply Chain analysts to understand their data needs, assisting in translating complex business questions related to demand planning, inventory, and logistics into specific data requirements
Adhere strictly to defined standards for data quality, security, and governance protocols, including proper documentation and adherence to established code quality practices

Qualification

Data EngineeringSAP IntegrationSQLPythonDatabricksAWSDimensional ModelingVersion ControlAgile DevelopmentData GovernanceMaster Data Management

Required

Must have, at minimum, a Bachelor's degree in Engineering, Computer Science, Software Engineering, or a related technical field
Minimum of 5 years of hands-on experience in Data Engineering or a related technical field
Minimum of 1 year of experience working in Supply Chain, Logistics, or Manufacturing domains
Hands-on experience developing data integrations from SAP ERP systems, demonstrating a foundational understanding of relevant SAP data structures
Proficiency in SQL and Python for data manipulation and transformation
Direct experience with cloud-based platforms such as Databricks and AWS
Proven experience working within a team using version control systems (e.g., Git) and following agile development practices
Must have, at minimum, a Bachelor's degree in Engineering, Computer Science, Software Engineering, or a related technical field
Minimum of 8 years of hands-on experience in Data Engineering or a related technical field
Minimum of 1 year of experience working in Supply Chain, Logistics, or Manufacturing domains
Hands-on experience developing data integrations from SAP ERP systems, demonstrating a foundational understanding of relevant SAP data structures
Proficiency in SQL and Python for data manipulation and transformation
Direct experience with cloud-based platforms such as Databricks and AWS
Proven experience working within a team using version control systems (e.g., Git) and following agile development practices

Preferred

Strong working knowledge of dimensional modeling principles
Familiarity with specific SAP data models and modules
Understanding of fundamental data governance and Master Data Management (MDM) concepts

Benefits

Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
Paid time off (PTO) for vacation and/or personal business

Company

Northrop Grumman Australia

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Northrop Grumman Australia is the Australia-based arm of Northrop Grumman Corporation and committed to generating long-term prosperity, investing in advanced Research & Development, sovereign and exportable Intellectual Property, high-quality jobs and long-term technology leadership across the Commonwealth.

Funding

Current Stage
Late Stage
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