Walmart (USA) Senior, Data Engineer - Sunnyvale - 3 weeks ago speaker scala apache kafka Agriculture

Position Summary...

Apply fast, check the full description by scrolling below to find out the full requirements for this role.

What you'll do...

About Team : The Sponsored Search Data team is responsible for designing, implementing, and maintaining data pipelines, databases, and ETL processes for Walmart's Sponsored Search Advertising platform.

Additionally, we collaborate with other teams within Walmart to ensure data quality, availability, and reliability for analytics and reporting for advertisers using the self-serve platform.

Our team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both of these stakeholders.

We also optimize tariffs and assortment in accordance with Walmart's Everyday Low Cost philosophy. We not only create affordability, but we also deliver customized experiences for customers across all channels - in-store, mobile app, and websites.

What you'll do :

Build and maintain robust, scalable data pipelines for ingesting, transforming, and storing large volumes of data to support advertising on Walmart.

com and its subsidiaries.

• Work on cloud platforms like Azure and Google Cloud for data storage, processing, and analytics.
• Create and deploy large-scale, containerized applications using Docker and Kubernetes in public clouds like Google GCP and Microsoft Azure.
• Collaborate with other scrum teams, QA, Product, Program Management, and Partner-Ops, while partnering with cross-functional project development teams.
• Participate in 24 / 7 on-call rotations to troubleshoot production issues across cross-functional teams.
• Manage data engineering projects from design to deployment, ensuring timely delivery and meeting project goals.
• Mentor / manage software engineers and lead engineering projects.
• Coordinate, create, and complete technical design discussions to drive technical architecture.

What you'll bring :

• Minimum of 4 years of experience as a Data Engineer or in a similar role.
• Proven expertise in data engineering concepts, database design, ETL processes, and data mining.
• Proficiency in working with data technologies including SQL, Python, Spark, Scala, Hadoop, and related technologies and tools.
• Experience with ETL tools such as Apache Airflow.
• Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra).
• Experience with real-time message processing using Apache Kafka.
• Experience in designing and implementing data models for efficient storage and retrieval.
• A growth-oriented mindset and a willingness to raise the technical bar, as well as to identify opportunities for improving existing processes, tools, and systems to achieve high scale and productivity.
• Experience working with Docker and Kubernetes is a plus.
• Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search is a plus.
• Excellent oral and written communication skills, with the ability to present to both technical and non-technical audiences.
• A strong sense of accountability and ownership, self-discipline, and focus on high-quality deliverables, and a team-oriented approach that values design thinking, efficiency, and innovation.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

• Option 1 : Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field.
• Option 2 : 5 years' experience in software engineering or related field.
• Option 3 : Master's degree in Computer Science and 1 year's experience in software engineering or related field.
• 2 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area.

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 experts, 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 :

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.

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