Senior Software Engineer (Back-End/Data) R-1838974

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.

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

Do you have boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail?

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.

You’ll make an impact by :

• Data Strategy : Understands, articulates, and applies principles of the defined strategy to routine business problems.
• Data Transformation and Integration : Extracts data from identified databases and creates data pipelines.
• Data Source Identification : Supports the understanding of the priority order of requirements and service level agreements.
• Data Modeling : Analyses complex data elements and contributes to conceptual, physical, and logical data models.
• Code Development and Testing : Writes code to develop the required solution and application features.
• Problem Formulation : Translates business problems within one's discipline to data related or mathematical solutions.
• Applied Business Acumen : Provides recommendations to business stakeholders to solve complex business issues.
• Data Governance : Establishes, modifies, and documents data governance projects and recommendations.
• Training and Support : Creates training documentation and trains end-users on data modeling.
• Project Execution : Drives the execution of multiple business plans and projects.

You’ll sweep us off our feet if :

• You have consistently high standards and your passion for quality is inherent in everything.
• Well versed with Hadoop, Spark, Cloud, Python / Scala and Java, Streaming, Kafka, Backend, J2EE.
• You evangelize an extremely high standard of code quality, system reliability, and performance.
• You have a proven track record coding with at least one programming language (e.g., Scala, Python).
• You’re experienced in one of cloud computing platforms (e.g., GCP, Azure).
• You’re skilled in data modeling & data migration protocols.
• Experience with GCP, Datawarehousing, BI preferred.
• Experience with the integration tools like Automic, Airflow.

Mandatory Skills :

Hadoop, Spark, Cloud, Python / Scala and Java, Streaming, Kafka, Backend, J2EE, Springboot API.

Desirable Skills :

GCP, Datawarehousing, BI.

Education / Qualification :

Bachelors or Masters in Engineering.

Benefits & Perks :

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 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.

Who We Are?

Join Walmart and your work could help over 275 million global customers live better every week. A career at Walmart is where the world’s most complex challenges meet a kinder way of life.

Flexible, hybrid work :

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.

The above information has been designed to indicate the general nature and level of work performed in the role.

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