Senior, Data Modeler

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 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 Modeler, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data models that our Data Engineers, Scientists and Analysts can rely on. You will partner with Data Engineers, Data Scientists, Stewards, other engineers, and business stakeholders to solve complex and exciting modeling and analytical challenges so that we can build out capabilities that evolve the retail business model while making a positive impact on our customers' lives.

About Team:
Everyone has data, but the sheer volume of data at Walmart can be limitless. In the Data Engineering team, we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.

What you'll do:

• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using best practices to ensure high data quality and support application, batch, and interactive use cases.
• Create, optimize, and update logical and physical data models to support new and existing projects according to company standards.
• Create data modeling solutions optimized for relational, dimensional, and NoSQL databases.
• Maintain conceptual, logical, and physical data models along with corresponding metadata.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Validate business data objects for accuracy and completeness.
• Analyze data-related system integration challenges and propose appropriate solutions.
• Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.
• Review modifications to existing software to improve efficiency and performance.
• Examine new application design and recommend corrections if required.

What you'll bring:

• Good academic record and graduated (B.E/ B.Tech / M.E / M.Tech/ MBA)
• At least 10+years of hand-on data warehousing experience
• Strong knowledge of different data modeling techniques for data warehousing - 3NF, Dimensional, hybrid etc.
• Experience working on large (100 TB+) scale data warehouses (DW)/ operational data stores (ODS)
• Significant experience in building data models for MPP, Relational and NoSQL technologies such as BigData, Hive, SQL*Server, Hadoop, Cassandra, Cloud DBs like Big Query and/or Snowflake
• Good experience of working with globally distributed teams in a collaborative and productive manner
• Excellent interpersonal and communication skills across variety of stakeholders, ability to negotiate with and influence others.

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.

Benefits:
Benefits: Beyond our great compensation package, 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.

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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Minimum Qualifications...

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 or related field and 3 years' experience in data modeling, data analytics, data warehouse, software engineering or related field. Option 2: 5 years' experience in data modeling, data analytics, data warehouse, software engineering or related field. Option 3: Master's degree in Computer Science or related field and 1 year's experience in data modeling, data analytics, data warehouse, software engineering or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data Modeling, Master's degree in Computer Engineering, Computer Science, Information Systems, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.)

Primary Location...
805 SE MOBERLY LN, BENTONVILLE, AR 72712, United States of America

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