Senior Oracle RPAS, Oracle Retail & Cloud Analytics
Overview
Own end-to-end Oracle RPAS data processes at scale within a retail planning context. Collaborate with analytics, data engineers, and product stakeholders to deliver reliable, scalable pipelines. Work on data tools across MySQL, PostgreSQL, Oracle SQL, and BigQuery in a Google Cloud and AWS environment. Be part of a team delivering replenishment, planning, and forecasting capabilities.
What You'll Do5
- 1Build and maintain Oracle RPAS pipelines and PL/SQL components to support Retail Inventory Planning, Demand Forecasting, and Replenishment.
- 2Design and implement data workflows with Apache Airflow to orchestrate ETL/ELT processes
- 3Collaborate with data engineers and analysts to optimize data models in BigQuery and Oracle SQL for reporting and forecasting
- 4Ship robust data solutions that enable accurate replenishment, planning, and financial forecasting across multiple domains
- 5Lead troubleshooting and root-cause analysis for data issues in a cloud environment across AWS and Google Cloud Platform
Requirements7
- 1Must-have: Oracle RPAS, PL/SQL, Scripting (Shell, Python)
- 2Strong database skills in MySQL, PostgreSQL, and Oracle SQL
- 3Experience with BigQuery and cloud platforms AWS or GCP
- 4Familiarity with Airflow for orchestration
- 5Domain experience in Retail Inventory Planning, Demand Forecasting, Financial Planning, Item Planning, Replenishment
- 6Unix/Linux environment proficiency
- 7Excellent collaboration and communication skills
Salary Insight
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