Position Summary...

What you'll do...

Position Summary

Do you have boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail? With the sheer scale of Walmart's environment comes the biggest of big data sets.

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

What you'll do

• 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.

• Collaborating with project team and cross functional teams. 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.

• 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) methodology