Walmart USA Staff Software Engineer -- Data 

United States, Arkansas, Bentonville 

638877507

As a Walmart Staff Software Engineer (Data), you will play a pivotal role in designing, developing, and implementing solutions. You will be responsible for building and robust data solutions, ensuring data governance, and integrating data science workflows into production

• Leads and participates in medium- to large-scale 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.

• Troubleshooting open issues and bug-fixes, ensuring on-time delivery and hand-offs. Interacting with project manager to provide input on project plan.

• Models’ compliance with company policies, procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans.

• Creates training documentation. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports.

• Collaborate with cross-functional teams to design and develop scalable, high-performance software solutions.

• Take ownership of data components, data pipelines development and deployment

• Utilize your expertise in Spark, Scala, Python, Airflow in building and optimizing robust data solutions, ensuring data governance, and integrating data science workflows

• Utilize your expertise in NodeJS, Java and microservices to create robust and efficient applications.

• Design and optimize database using SQL and NoSQL technologies for data storage and retrieval

• Implement event-driven architectures using Kafka and ensure seamless integration with other systems.

• Work with cloud platforms such as GCP and Azure to build scalable and secure applications.

• Explore and learn new tools and techniques in AI, GenAI and ML

• Develop and optimize queries using Big Query to analyze large datasets.

• Collaborate with the team to perform code reviews, provide constructive feedback, and ensure high-quality code delivery.

• Stay updated with emerging technologies and industry best practices and contribute to knowledge sharing within the team.

Bring

• At least 9+ years of relevant experience in building highly resilient, scalable data pipelines for real-time and batch processing.

• A good understanding of Microservices

• Hands on experience with Spark, Scala, Python , Kafka (or other messaging service), relational DBMS (MSQL, MySQL etc ), NoSQL ( e.g : Cassandra, MongoDB) data stores

• Should be hands on writing/reviewing design & code.

• Understand the product and project management space with Agile methodologies.

• CI/CD development environments/tools: Git, Maven, Jenkins.

• Demonstrate end-to-end ownership for development and design of least one cloud-based project - Experience in building extensible platforms, data pipelines are desirable.

• Familiarity with modern data architectures (data lakes, data warehouses, data lake) and cloud platforms (GCP, or Azure).

• Experience in data analysis and visualization using tools like Pandas , NumPy , Matplotlib , or Excel.

• Familiarity with Generative AI concepts (e.g., GPT, text-to-image generation) and an eagerness to explore related technologies.

• Basic knowledge of machine learning algorithms and techniques.

• Strong desire to drive change, and ability to adapt to change quickly. Proficient in new and emerging technologies.

• Ability to balance the long-term "big picture" and short-term implications of design decisions.

• Exceptional communication and interpersonal skills - including negotiation, facilitation, and consensus building skills; ability to influence and persuade, without direct control.

• Mentoring/coaching other engineers

• Focus on reusability, frameworks, patterns and configurations tools for faster development.

• Practitioner of Agile (Scrum)