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Tier-1 brand, mid-level generalist title, metro location, and common skillset raise competition.
Medium—core data engineering skills are transferable, but o9 and supply‑chain context narrow fit.
High—explicit 3–4 years and mandatory o9 integration experience required.
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Own integration, testing, and support of O9 modules with Nike's data ecosystem, including data ingestion and mapping for master, transactional, and planning data.
Collaborate with engineering teams, product managers, and business SMEs to refine requirements, troubleshoot issues, and support deployments following DevOps and CI/CD processes.
Prepare documentation including integration changes, test scenarios, and release notes; participate in sprint planning, unit testing, and UAT support.
3 to 4 years of experience integrating O9 with Databricks (Delta Share), Snowflake, and file systems.
Strong skills in SQL/PL-SQL for data validation, mapping, and investigating issues.
Experience with batch configuration using BDP2.0, Airflow, and Databricks workflow.
Work Experience Required: 3 to 4 years in O9 integration and related technologies.
Strong analytical skills with ability to interpret business requirements and understand data in supply chain and planning contexts, preferably demand planning.
Experienced in using AI technologies like Cursor, Co-pilot, Nova on O9 landscape for accelerated development and debugging.
Familiarity with Agile/Scrum practices and cloud technologies (Azure/AWS) plus some knowledge of APIs and integrations is a plus.