As a Data Engineer, you will be responsible for designing, building, maintaining, monitoring and troubleshooting large-scale data pipelines. You will own a mix of batch-job and event-driven data processing applications with strict SLAs around processing latencies and accuracy. You will work with Data Scientists, Product Managers, Machine Learning Engineers and Platform/Service Engineers to build robust, fault-tolerant, large-scale data processing applications including datalakes and warehouses.

About the Team:

As a member of the of the Fraud Prevention Services Engineering group, you will work on exciting and challenging problems that have an immense impact on the Sam's club business.

Your responsibilities will include:

• Design, develop and maintain data processing systems and pipelines using Python, PySpark, Google Cloud, Azure, WCNP, Apache Airflow, and other relevant tools.

• Collaborate with cross-functional teams to understand business requirements and design solutions that meet those requirements.

• Build and maintain scalable infrastructure to support data processing and analysis. - Implement best practices for data engineering, data analysis, and data visualization disciplines.

• Develop and maintain automated machine learning pipelines using frameworks such as Vertex.ai or Element.

• Monitor, troubleshoot and optimize data pipelines for performance, reliability, and scalability.

• Work with large datasets and perform data analysis to identify trends, patterns, and insights.

• Implement DevOps and MLOps practices to ensure smooth deployment and operation of data solutions.

• Collaborate with data scientists and other stakeholders to understand their requirements and provide necessary data engineering support.

Requirements:

• Bachelor's degree in Computer Science or equivalent.

• Strong experience with Python, Pyspark, Google Cloud, Azure, WCNP, Apache Airflow, and other related technologies.

• Solid understanding of data engineering, data analysis, and data visualization disciplines.

• Experience building, maintaining, and troubleshooting large-scale data pipelines.

• Familiarity with automated machine learning pipelines and frameworks like Vertex.ai or Element.

• Excellent analytical and problem-solving skills.

• Ability to work with large datasets and perform data analysis.

• Good understanding of DevOps and MLOps practices.

• Strong communication and collaboration skills.

• Attention to detail and ability to work in a fast-paced, agile environment.

Who We Are

Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, operating almost 600 clubs in the US. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.

Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits & Perks
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer 
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.