Job Description

Position Summary...

What you'll do...

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 cant 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 Walmarts environment comes the biggest of big data sets. As a Walmart Data Engineer, this role will be an enabler of our journey to be the worlds leading data-driven retailer. As part of this transformation, we are seeking an individual who will be responsible and contribute to the ETL strategies for developing and supporting data movement to on premise and cloud data platforms supported here at Walmart.

We are looking for a highly motivated, resourceful, team-oriented individual to drive and define the data requirements for the ingestion, processing, placement and consumption needs across the Global organization. You will participate in reviewing existing and new data workflows, work with many Application owners, Engineering teams and other stakeholders to define data needs and ensure delivery of the data sources in alignment with the business needs. You will also coordinate the development and support of these resources and collaborate across key functional domains and business lines, data engineering, quality assurance, data analysts and data stewards.

About the Data and Analytics Operations Team:

Our team focuses on maintaining thousands of ETL workflows and pipelines to deliver world-class data assets, by maintaining data standards, driving policy compliance, and ensuring data availability. We empower our business to leverage data to fuel growth and drive revenue. We protect customer, associate, and partner data, ensuring privacy and security when moving data.

Youll make an impact by:

* Combining a sense of urgency and expert knowledge of data movement technologies and strategies to ensure timely data availability and accuracy
* Being a passionate adopter and ambassador for data quality, security and governance practices and processes
* Being an inquisitive, out-of-the box thinker whos continually on the lookout for opportunities to improve and innovate data movement and solutions
* You have consistently high standards, your passion for quality is inherent in everything that you do
* You are a collaborative connector who builds bridges between teams and functions
* You evangelize an extremely high standard of code quality, system reliability, and performance

Youll sweep us off our feet if:

* You have a proven track record in
* Producing code (e.g., COBOL, SQL, Java, C++, Python)
* Computing platforms and companion tools (e.g., Azure, SQL & NoSQL)
* Data movement tools (e.g., DataStage, Talend)
* Scheduling and monitoring tools (e.g., CA7, Cntrl M, Airflow)
* Mainframe and/or Unix/Linux
* Providing 24X7 production support
* Agile Methodology

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.

Preferred Qualifications

* Bachelors degree in Computer Science or related field and 4-6 years experience

OR

Masters degree in Computer Science or related field and 3 years experience in the following

* ETL technologies (e.g., Mainframe, DataStage, etc)
* Relational Database platforms (e.g., DB2, Teradata, Informix, Oracle, etc)
* Troubleshooting skills in mainframe and/or open systems
* Programming (e.g., JCL, COBOL, C++, Python, SQL, Java)
* L1/L2/L3 Operational support
* Experience in Big Data Platforms (e.g., Hadoop HDFS, BigQuery, Cloudera)
* Self-directed, well organized and have good follow-up skills
* Excellent written and oral communication skills
* Strong interpersonal skills
* Proven ability to drive results, especially in a matrixed or influence based environment
* Driven to work with the teams to dig into data, processes, and issues

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, 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 youll quickly find were a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the worlds most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, youll be empowered and equipped to do the best work of your life. careers.walmart.com



Minimum Qualifications...

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

Option 1: Bachelors 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 years 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.

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Masters degree in Computer Science or related field and 3 years' experience in software engineering