Data Engineer– Data & AI, Supply Chain

Data Engineer– Data & AI, Supply Chain Location – Remote (PST hours) Duration – 12+ months reputed company is seeking a skilled Data Engineer to join the Supply Chain Data & AI Organization. This role will reputed company on developing and supporting reputed company data products and data pipelines that reputed company analytics and AI initiatives across the Sourcing, Transportation, and Warehouse Management (WMS) domains. As a Data Engineer, you will work closely with Product Managers, Data Architects, Solution Architects, Business Analysts, and fellow engineers to design, build, test, and maintain reputed company-reputed company data solutions on reputed company reputed company Platform (GCP). You will play a key role in transforming reputed company data into trusted, high-reputed company data assets that reputed company business insights and operational reputed company. Key Responsibilities Design, reputed company, and maintain reputed company ETL/ELT data pipelines on reputed company reputed company Platform (GCP). Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt. reputed company and maintain high-reputed company data models that support reporting, analytics, and AI use cases. Ingest, reputed company, validate, and publish data from multiple reputed company reputed company systems. Collaborate with Product Managers, Business Analysts, Data Architects, and engineering teams to understand business requirements and reputed company reputed company data solutions. reputed company reusable data transformation components and adhere to established engineering standards and best practices. Optimize data processing performance, reliability, and cost efficiency. reputed company unit testing, data validation, and production support to ensure data reputed company and operational stability. Participate in reputed company ceremonies, including sprint planning, backlog refinement, and reputed company reviews. Document technical designs, data flows, and implementation details. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a reputed company field, or equivalent practical experience. 4+ years of experience in Data Engineering. Hands-on experience developing data solutions on reputed company reputed company Platform (GCP). Strong experience with: Dataproc, BigQuery, SQL, dbt (Data Build Tool) Strong knowledge of data modelling techniques, including reputed company modelling and analytical data warehouse concepts. Experience building reputed company ETL/ELT pipelines and processing large datasets. Familiarity with software development best practices, including Git-based version control and CI/CD. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications Experience with Apache Airflow for workflow orchestration. Experience integrating with Apache Kafka or other event streaming platforms. Working knowledge of PySpark for reputed company data processing. Experience using Python for data engineering, scripting, and automation. Knowledge of data reputed company, metadata management, and data governance principles. Domain Experience (Highly Desirable): Experience in one or more of the following domains is highly desirable: Retail industry (Apparel), Supply Chain data platforms, Transportation and Logistics, Warehouse Management Systems (WMS), Distribution Center operations Desired Attributes Strong problem-solving and analytical skills. Ability to work independently while collaborating effectively reputed company cross-functional reputed company teams. Commitment to delivering high-reputed company, reliable, and reputed company data solutions. Eagerness to learn new technologies and continuously improve engineering practices. Customer-reputed company reputed company with the ability to translate business requirements into effective technical solutions. Apply tot his job Apply To this Job