Staff, Software Engineer

There are millions of customers shop on Walmart websites and in stores daily, and advertising helps advertisers bring the best products to our customers. If you want to influence millions of customers on their shopping journeys, we have a role for you. This team in advertising serves as the horizontal data foundation for various applications. We build extremely large-scale data sets, process them using distributed system and enrich them with intelligent insights. As a staff engineer in the team, you will play a key role to collaborate with multiple engineering teams and cross-function teams to understand the business needs and propose the most suitable engineering solutions. You will also lead in researching, designing, implementing and reviewing the platform and products. Additionally, you will mentor and coach the team, ensure the best engineering practices are followed and hold the team accountable.

About the team:
Walmart's Advertising Technology data team owns and drives the foundational data platform for targeting and measurement systems. The team is custodiam of all the business data and metrics, and the guarantor of their fidelity and completeness. The team charter is to provide interfaces and guidance for all aspects of advertising data.

We are a team of data engineers whose strengths are: (1) building scalable data pipelines (2) exposure to machine learning techniques and data science (3) making sense of broadly defined problems through data analysis.

What you'll do:

• Leads the discovery phase of large software engineering projects by collaborating with cross-functional teams to determine project strategy; interpreting strategy into sustainable architecture and solutions; identifying short- and long-term solutions and timelines; driving prototype development to ensure concept is feasible
• Tech Lead for core data platform focused in bringing in data from different sources and make this data available in different forms to downstream teams.
• Identify opportunities at the engineering and product side and influence leaders and engineers to solve high impact problems.
• You will be partnering cross-functionally with Product, Data Science and other EMs, to understand the data landscape and influence the methodology choices.
• Partner across Engineering organization to establish strategic plans and objectives to improve the mean time to detect and mean time to restore.
• Leads project teams for engineering projects by providing direction regarding architecture and design; providing guidance regarding project issues or roadblocks; reviewing and approving proposed solutions; implementing new architectural patterns; and performing design and code reviews of changes; ensure stability and scalability of the platform
• Root-cause analysis of complex problems involving multiple parties, networks, hardware, and software that relate to scaling and performance.

What you'll bring:

• 7+ years of experience in software development, ideally focusing on distributed applications, system integrations and big data management.
• Leadership experience in solutions architecture and design
• 5+ years of experience in building and managing large scale distributed, scalable, highly available, and fault tolerant systems
• Proficient in Scala or Java or Python, spark, HQL and SQL.
• Deep knowledge in Hadoop ecosystem, like HDFS, Hive, MapReduce, Presto etc.
• Strong Experience with near real-time stream processing( Micro-services, Spark, Flink, Storm, and Kafka Connect ) at scale
• Experience in in messaging systems such as Kafka
• Excellent communication and leadership skills
• Exceptional analytical-reasoning and problem-solving skills
• Manage multiple projects and prioritize tasks effectively

Preferred qualifications:

• Familiar with public cloud technologies in Google Cloud Platform, especially BigQuery, GCS and Dataproc
• Experience with ETL pipelines
• Experience in advertising domain (AdTech)
• Familiar with workflow management systems like airflow or oozie
• Experience with enterprise monitoring and alerting solutions like Prometheus, Graphite, alerts manager and Splunk

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

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:

Benefits: Beyond our great compensation package, 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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.