Demand Planning/Supply Planning Integration Consultant/Lead

• Take ownership of the end-to-end integration architecture across all planning tracks (Demand, Supply, etc.)
• Design and maintain the overall integration strategy, ensuring scalability, reliability, and security.
• Oversee inbound and outbound data transformations and orchestration processes.

Decision Support & Guidance:

• Support decision-making related to integration disposition, data transformations, and performance assessments.
• Provide guidance and recommendations on integration approaches, technologies, and best practices.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

Inter-Tenant Data Transfer Design:

• Design and implement secure and efficient inter-tenant data transfer mechanisms.
• Ensure data integrity and consistency across different o9 environments.

Team Guidance & Mentoring:

• Provide technical guidance and mentorship to the juniors in the team on building and maintaining interfaces.
• Share best practices for integration development, testing, and deployment.
• Conduct code reviews and ensure adherence to coding standards.

CI/CD Implementation:

• Design and implement a robust CI/CD pipeline for integration deployments.
• Automate integration testing and deployment processes to ensure rapid and reliable releases.

Batch Orchestration Design:

• Design and implement batch orchestration processes for all planning tracks.
• Optimize batch processing schedules to minimize processing time and resource utilization.
• Technical Leadership & Implementation:
• Serve as a technical leader and subject matter expert on o9 integration.
• Lead and participate in the implementation of end-to-end SCM solutions.
• Provide hands-on support for troubleshooting and resolving integration issues.

Qualifications

Experience:

• Delivered a minimum of 2-3 comprehensive end-to-end SCM Product implementations as a Technical Architect.
• At least 8 years of experience in SDLC with a key emphasis on architecting, designing, and developing solutions using big data technologies.
• Technical Skills:
• Proficiency in SSIS Packages, Python, Pyspark, SQL programming languages.
• Experience with workflow management tools like Airflow, SSIS.
• Experience with Amazon Web Services (AWS), AZURE, Google Cloud Infrastructures preferred.
• Experience working with Parquet, JSON, Restful APIs, HDFS, Delta Lake and query frameworks like Hive, Presto.
• Deep understanding and hands-on experience with writing orchestration workflows and/or API coding (knowledge of Apache NiFi is a plus).
• Good hands-on technical expertise in building scalable Interfaces, performance tuning, data cleansing, and validation strategies.
• Experience working with version control platforms (e.g., GitHub, Azure DevOps).
• Experience with DeltaLake and Pyspark is a must.

Other Skills:

• Good to have experience in Cloud Data Quality, Source Systems Analysis, Business Rules Validation, Source Target Mapping Design, Performance Tuning, and High-Volume Data Loads.
• Familiarity with Agile methodology.
• Proficient in the use of Microsoft Excel/PowerPoint /Visio for analysis and presentation.
• Excellent communication and interpersonal skills.
• Strong problem-solving and analytical abilities.
• Ability to work independently and as part of a team.
• Proactive and results-oriented.
• Ability to thrive in a fast-paced environment.