Analyze data from multiple sources and develop solutions to integrate data into the enterprise data ecosystem Develop automated pipelines to ingest and process structured and unstructured data using both batch and streaming patterns with cloud‑native toolsets Work with diverse datasets and technologies to understand cross‑system correlations, patterns, and data relationships Build, schedule, and monitor data pipeline orchestrations Implement automation to optimize compute and storage usage across the cloud data platform Develop and enhance end‑to‑end monitoring and observability capabilities for cloud‑based data platforms Support knowledge sharing, cross‑training, and onboarding activities for team members Provide clear and frequent updates to stakeholders on progress, risks, and deliverables Participate in daily Scrum standups and contribute to an agile development environment Stay current on emerging trends and technologies in Data Warehousing and Analytics—particularly within retail. Familiarity with data engineering aspects of machine learning pipelines (e.g., data prep, splitting, feature engineering, scoring) “Projected Salary Range: $95,000 - $118,500”.