Walmart Inc.
Location
Sunnyvale, CA | United States
Job description
Job Summary
At Walmart, we help people save money, so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We can’t do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our customers.
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 Data Engineer in Marketplace, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on. You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way. You will partner with Data Scientists, Analysts, other engineers and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the retail business model while making a positive impact on our customers’ and sellers’ lives.
About the Data and Customer Analytics (DCA) Organization:
Our organization focuses on managing and delivering world-class data assets, including creating and maintaining data standards, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. We empower our business to leverage data to fuel growth, driving revenue in our core and building new business model opportunities.
What you'll do :
Y ou will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on .
You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way.
You will partner with Data Scientists, Analysts, other engineers, and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the marketplace business model while making a positive impact on our customers' and sellers’ lives.
You will l ead and participate in small to large sized projects by reviewing project requirements; gather requested information; write and develop code; conduct unit testing; communicate status and issues to team members and stakeholders; collaborate with project team and cross functional teams; troubleshoot open issues and bug-fixes; and ensure on-time delivery and hand-offs .
You will p rovide guidance and mentorship to junior data engineers.
You will design, develop and maintain highly scalable and fault-tolerant real time, near real time and batch data systems/pipelines that process, store, and serve large volumes of data with optimal performance.
You will ensure data ingested and processed is accurate and of high quality by implementing data quality checks, data validation, and data cleaning processes.
You will i dentif y possible options to address business problems within one's discipline through analytics, big data analytics, and automation .
You will build business domain expertise to s upport the data need for product teams, analytics , data scientists and other data consumers.
What you'll bring :
Bachelor's/master’s degree in computer science or a related field
With 5+ years' experience in development of big data technologies/data pipelines
Proficiency in managing and manipulating huge datasets in the order of terabytes (TB) is essential.
Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance.
Expertise in building idempotent workflows using orchestrators like Automic , Airflow, Luigi etc.
Expertise in writing SQL to analyze, optimize , profile data preferably in BigQuery or SPARK SQL
Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets.
Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work.
Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process.
Ability to move at a rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative.
Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project.
Nice to have from you :
Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
Good understanding of REST APIs – working knowledge on Apache Druid, Redis, Elastic search, GraphQL or similar technologies. Understanding of API contracts, building telemetry, stress testing etc.
Exposure in developing reports/dashboards using Looker/Tableau
Experience in eCommerce domain.
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.
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 inOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 3 years' experience in software engineeringJob tags
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