About the position
The Supply Chain - Replenishment Planning team manages process improvement efforts by contributing to the design, development, and delivery of new ways of working between supply chain stakeholders; presenting new ways of working efforts and continuous improvement recommendations to leadership. The Replenishment Planning team uses advanced planning software to forecast demand, optimize inventory levels, and create detailed execution plans to optimize Supply Chain service and performance. We work end-to-end with cross-functional teams across Supply Chain to ensure that all departments are aligned and working towards unified goals by identifying key business drivers, creating a roadmap for achieving business objectives, and establishing metrics for measuring progress. There is no better place to rapidly grow your business acumen and see how the entire organization connects to deliver for our customers. At Sam's Club, we are developing the next generation of capabilities in the Supply Chain space. We are building them by leveraging modern cloud-based infrastructure to support replenishment and order management for our clubs.
Responsibilities
- Extracts data from identified databases and transform data to a structure that is relevant to the problem by selecting appropriate techniques.
- Helps identify the most suitable source for data that is fit for the requirements.
- Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
- Build and maintain robust and scalable data pipelines with internal and external partners.
- Perform deep analysis leveraging customer datasets to build customer insights.
- Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing and monitoring.
- Participates in medium- to large-scale, complex, cross-functional projects by reviewing project requirements; translating requirements into technical solutions; gathering requested information; writing and developing code; conducting unit testing; communicating status and issues to team members and stakeholders; collaborating with cross functional teams; troubleshooting open issues and bug-fixes; enhancing design to prevent re-occurrences of defects; ensuring on-time delivery.
- Creates training documentation and trains end-users on data modeling.
- Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports.
Requirements
- Bachelor's degree in computer science, Data Engineering, Mathematics, or a related field.
- 3-5 years of proven experience as a Data Engineer or similar role in data management.
- Proficient in real time & batch pipelines in big data technologies (i.e. Spark/Kafka/Cassandra/Elasticsearch, NoSql Dbs etc.).
- Proficiency in languages such as Java, Scala, Python.
- Experience with the workflow management platform like Airflow/hudi.
- Experience with Cloud computing platforms like GCP and Azure.
- Proficient with Designing and building APIs.
- Hands on Experience with PL/SQL to query data & generate insights using complex queries, stored procedures, and user defined functions.
- Familiarity with Engineering practices in Analytics space using tools like PowerBi, Tableau.
- Experience with data modeling & data migration protocols.
- Excellent problem-solving and analytical skills.
- Strong project management and organizational skills.
- Ability to work in a fast-paced environment and manage multiple priorities.
Nice-to-haves
- Customer Service background.
- Knowledge in creating inclusive digital experiences.
- Demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.
- Knowledge of accessibility best practices.
Benefits
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit program
