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. Skills: Pyspark, Ssis Packages, Sql, Python Experience: 4.00-9.00 Years