What you'll do...
At Walmart we help people save money, so they can live better. This mission is the foundation for every decision we make and drives us to create the future of retail. We cannot 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, you will help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our data scientists, analysts, software developers, and business stakeholders rely on. You will contribute to an orchestration layer of complex data transformations and will be responsible for: ingestion of raw data with different formats from many disparate sources; processing, refining, and validating the raw data; and, transforming them into targeted, valuable data assets for a wide range of applications and consumption. You will partner with data engineers, software developers, data scientists, data analysts, and business stakeholders to solve complex and exciting challenges so that we can build capabilities that evolve the retail business model while making a positive impact on our customers' lives.
You will make an impact in the following ways:
Use modern data ingestion and integration techniques to build data sets from complex multi-platform environments (both cloud and on-prem) that integrate diverse, massive scale internal and external data sources
Develop highly scalable, highly-performant, instrumented and accurate data pipelines
Combine a sense of urgency and expert knowledge of data engineering practice to solve and enhance complex computing performance challenges
Identify, develop, and deliver improvements on data performance, data quality and cost
Develop systems to analyze and filter continuous data flows -- driving toward increasingly lower latency so our data scientists, data analysts and the models they build reflect what is happening in our business right now
Define system-performance and operational metrics; create dashboards to continuously monitor those metrics
Maintain thorough and well-written documentation
Apply strong foundational software engineering practices
Learn continuously to apply emerging data engineering techniques and best practices from across industries
Collaborate closely with the development team and other team members regarding the progress of your work
Take ownership and be highly organized of the projects and tasks assigned
Coach and mentor junior data engineers
Share knowledge with other members on the team
Enable data governance practices and process by being a passionate adopter and ambassador
You will sweep us off our feet if:
3+ years of relevant technology consulting or industry experience to include experience in Information delivery, Analytics and Business Intelligence based on data
Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes.
3+ years' experience in Python
3+ years' experience in SQL
3+ years' experience PySpark
2+ years of hands-on experience with data core modernization and data ingestion.
1+ years' experience leading workstreams or small teams
Bachelor's Degree or equivalent professional experience
An advanced degree in area of specialization is preferred.
Experience with Cloud using Microsoft Azure, and/or Google Cloud Platform (GCP)
Experience with Spark, Python
Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
Knowledge of data, master data and metadata related standards, processes and technology
Experience working with multi-Terabyte data sets
Strong oral and written communication skills, including presentation skills. 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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Benefits & Perks:
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO (PAID TIME OFF), 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.
Who We Are?
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you will quickly find we are a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world's most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you will discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you will be empowered and equipped to do the best work of your life. careers.walmart.com
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 2 years' experience in software engineering or related field. Option 2: 4 years' experience in
software engineering or related field. Option 3: Master's degree in Computer Science.
Outlined 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, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field
805 SE MOBERLY LN, BENTONVILLE, AR 72712, United States of America
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