Data Engineer – AI & Supply Chain : 26-02169

Akraya, Inc. is an award-winning IT staffing firm, and they are seeking a skilled Data Engineer – AI & Supply Chain to join their Supply Chain Data & AI organization. This role focuses on designing, developing, and maintaining scalable cloud-native data pipelines and data products on Google Cloud Platform (GCP) that power enterprise analytics and AI initiatives.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP)
• Build and optimize cloud-native data solutions using BigQuery, Dataproc, SQL, and dbt
• Design and maintain high-quality data models supporting enterprise reporting, analytics, and AI use cases
• Ingest, transform, validate, and publish data from multiple enterprise source systems
• Collaborate with Product Managers, Business Analysts, Data Architects, Solution Architects, and engineering teams to translate business requirements into scalable technical solutions
• Develop reusable data transformation frameworks while adhering to engineering standards and best practices
• Optimize data processing performance, scalability, reliability, and cloud cost efficiency
• Perform unit testing, data validation, production support, and troubleshooting to ensure high-quality data delivery
• Participate in Agile ceremonies including sprint planning, backlog refinement, code reviews, and technical discussions
• Create and maintain technical documentation, data flow diagrams, and implementation artifacts

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience)
• 4+ years of Data Engineering experience developing enterprise data solutions
• Strong hands-on experience with Google Cloud Platform (GCP)
• Expertise with BigQuery, Dataproc, SQL, and dbt (Data Build Tool)
• Strong understanding of ETL/ELT architecture and large-scale data processing
• Experience with dimensional data modeling and analytical data warehouse concepts
• Experience building scalable cloud-native data pipelines
• Knowledge of Git, version control, and CI/CD best practices
• Strong analytical, troubleshooting, problem-solving, and communication skills
• Experience working in Agile development environments
• Experience working within Retail, Apparel, Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center Operations
• Experience delivering enterprise cloud data solutions using modern GCP technologies
• Strong understanding of scalable data architecture and cloud-native engineering best practices
• Self-motivated team player with excellent collaboration skills and a passion for building reliable, high-performance data solutions