Blue Yonder PDC Data Integration Engineer

Kainos

United States

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Microsoft Azure Batch Processing Cloud Computing Information Systems Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Mapping Data Structures Digital Architecture

+23 more

Electronic Data Interchange (EDI) Monitoring of Systems JSON Python (Programming Language) PostgreSQL Performance Tuning Standard Sql Software Deployment Transaction Data Extensible Markup Language (XML) File Transfer Protocol (FTP) Enterprise Software Applications Data Ingestion Snowflake Event Driven Architecture Information Technology Enterprise Integration Apache Kafka Azure AKS Data Management Restful APIs Stream Processing Confluent

Job description

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.

Requirements

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.