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, 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 lives.

About the Data Strategy and Insights 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.

About People Data Engineering:

People Data Engineering team handles all the data of 2.3 Million active associates, round the globe. We create a bigdata platform for BI and Data Science teams to unlock the full potential of employee data and help create a better work environment. We deal with all of recruiting, training, payroll and comp data of all the associates. As part of this transformation, were seeking highly skilled engineers to help drive data productization from concept to deployment.

Youll make an impact by:

* Data Strategy: Understands, articulates and applies principles of the defined strategy to routine business problems that involve a single function.

* Data Transformation and Integration: Extracts data from identified sources (structured and semi structured) and process them using Big Data Technologies

* Data Modeling: Analyzes complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions.

* Code Development and Testing: Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates.

Youll sweep us off our feet if:

* Well versed with Hadoop and BigData technologies, Spark using Scala.

* Youre experienced in computing platforms (preferably GCP)

* Hands on experience with Airflow and GitHub

* Youre skilled in data modeling & data migration protocols

* Experience with Big Query is added advantage

* Sound knowledge of at least one RDBMS (DB2 / Teradata / MS SQL Server / MySQL)

* You evangelize an extremely high standard of code quality, system reliability, and performance

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

About Global Tech :

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. Thats what we do at Walmart Global Tech. Were a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the worlds largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.



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



Primary Location...

350 N SAINT PAUL ST, DALLAS, TX 75201-4240, United States of America