Software Engineer

Nike•Beaverton, OR

1d•Remote

About The Position

Build and deliver scalable data and analytics solutions focused on Supply Chain, Consumer and Marketplace data products. Design and implement Supply Chain data integration pipelines connecting warehouse management systems, inventory databases, and external catalog systems with enterprise data platforms such as Databricks. Develop and maintain automated workflows to ingest, transform, load and validate high-volume datasets including on-hand inventory, order fulfillment, logistics, and distribution data. Use Databricks Catalog for Data Governance and Lineage Tracking. Implement Real-time Change Data Capture and data replication from source systems to cloud data platforms. Integrate intelligent automation solutions to enhance data products and enable predictive analytics. Contribute to all aspects of data engineering from ingestion, transformation, and consumption, in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. Participate in architecture and design discussions to process and store high-volume data sets. Drive the delivery of scalable data and analytics solutions, implement and integrate new technologies, manage and evolve the data lake. Integrate AI-powered solutions with collaboration platforms such as Slack to enable real-time data insights, automated notifications, and conversational analytics. Collaborate with other engineers, analysts, and business partners. Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects. Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces. Develop and maintain API documentation and integration specifications. Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance. Coordinate installation of software systems. Design, develop and modify software systems, using scientific analysis, machine learning techniques, and mathematical models to predict and measure outcomes and consequences of design. Develop or direct software system testing or validation procedures, programming, or documentation. Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance. Monitor functioning of equipment to ensure system operates in conformance with specifications. Obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration. Prepare reports or correspondence concerning project specifications, activities, or status. Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation. Specify power supply requirements and configuration. Store, retrieve, and manipulate data for analysis of system capabilities and requirements. Supervise and assign work to programmers, designers, technologists, technicians, or other engineering or scientific personnel.

Requirements

Python
Airflow
SQL
Spark
Databricks
Attunity - Qlik
Cloud – AWS/Azure
CI/CD Jenkins
Snowflake
Data Pipeline Design
SAP & S4 Hana
Oracle
DB2
API and AI/ML models and intelligent automation solutions

Responsibilities

Build and deliver scalable data and analytics solutions focused on Supply Chain, Consumer and Marketplace data products
Design and implement Supply Chain data integration pipelines connecting warehouse management systems, inventory databases, and external catalog systems with enterprise data platforms such as Databricks
Develop and maintain automated workflows to ingest, transform, load and validate high-volume datasets including on-hand inventory, order fulfillment, logistics, and distribution data
Use Databricks Catalog for Data Governance and Lineage Tracking
Implement Real-time Change Data Capture and data replication from source systems to cloud data platforms
Integrate intelligent automation solutions to enhance data products and enable predictive analytics
Contribute to all aspects of data engineering from ingestion, transformation, and consumption
Design and build test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products
Participate in architecture and design discussions to process and store high-volume data sets
Drive the delivery of scalable data and analytics solutions
Implement and integrate new technologies
Manage and evolve the data lake
Integrate AI-powered solutions with collaboration platforms such as Slack to enable real-time data insights, automated notifications, and conversational analytics
Collaborate with other engineers, analysts, and business partners
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints
Confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects
Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces
Develop and maintain API documentation and integration specifications
Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance
Coordinate installation of software systems
Design, develop and modify software systems, using scientific analysis, machine learning techniques, and mathematical models to predict and measure outcomes and consequences of design
Develop or direct software system testing or validation procedures, programming, or documentation
Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance
Monitor functioning of equipment to ensure system operates in conformance with specifications
Obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration
Prepare reports or correspondence concerning project specifications, activities, or status
Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation
Specify power supply requirements and configuration
Store, retrieve, and manipulate data for analysis of system capabilities and requirements
Supervise and assign work to programmers, designers, technologists, technicians, or other engineering or scientific personnel