Quick Overview
Job Description
• Design and develop data ingestion pipelines for Blue Yonder Platform Data Cloud (PDC)
• Build and maintain integrations using Kafka, REST APIs, SFTP, and batch-processing mechanisms
• Develop and support BYDM (Blue Yonder Data Model) compliant JSON payloads.
• Implement event-driven integration patterns for master data and transactional data.
• Design scalable solutions for high-volume real-time and near real-time data processing.
• Support inbound and outbound data exchange between enterprise applications and Blue Yonder platforms.
• Data Modeling & Transformation
• Analyze source system data structures and map them to Blue Yonder data models.
• Create transformation logic and validation frameworks for data ingestion.
• Design reusable mapping and enrichment processes.
• Collaborate with business and solution architects to define integration contracts and schemas.
• Ensure alignment with enterprise data governance standards.
o Must Have : BY PDC certification
• Data Quality & Monitoring
• Develop automated validation rules and exception handling processes.
• Monitor ingestion pipelines and resolve data quality issues.
• Troubleshoot data mapping, schema validation, and integration failures.
• Implement audit and reconciliation processes between source systems and PDC.
• Create dashboards and monitoring tools for operational visibility.
• Platform & Performance Engineering
• Optimize pipeline performance and system scalability.
• Support capacity planning based on event volumes and growth forecasts.
• Design retry, replay, and recovery mechanisms for event processing.
• Participate in performance tuning, testing, and production support activities.
• Ensure compliance with enterprise reliability and availability requirements.
• Collaboration & Delivery
• Work closely with Product Owners, Business Analysts, Enterprise Architects, and Blue Yonder teams.
• Participate in data workshops, design sessions, and integration reviews.
• Support SIT, UAT, cutover, and production deployment activities.
• Document architecture, mappings, schemas, integration patterns, and operational procedures.
• Mentor junior engineers and promote engineering best practices.
Required Qualifications
• Bachelor''s degree in Computer Science, Information Systems, Engineering, or related field.
• 5+ years of experience in Data Engineering, Integration Engineering, or Data Platform development.
• Strong experience with:
• REST APIs
• JSON/XML
• SQL
• Python or Java
• Experience designing event-driven architectures.
• Knowledge of data modeling, ETL/ELT, and data quality frameworks.
• Experience working with supply chain, transportation, logistics, ERP, or enterprise integration platforms.
• Strong troubleshooting and analytical skills.
• Experience with Blue Yonder Platform Data Cloud (PDC).
• Knowledge of BYDM (Blue Yonder Data Model).
Experience with:
• Snowflake
• Confluent Kafka
• PostgreSQL
• Azure Kubernetes Services
• Familiarity with CloudEvents specifications.
• Experience with transportation management, freight audit, warehouse management, or logistics platforms.
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