(USA) Manager II, Data Modeling - Senior Data Modeler

| Dallas-Fort Worth, TX | Hybrid
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Position Summary...
What you'll do...
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 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 Data Ventures:
Data Ventures exists to unlock the full value of Walmart's data by developing and productizing B2B data initiatives that empower merchants and suppliers to make better, faster decisions for the business. As part of this transformation, we're seeking entrepreneurial individuals to help drive data productization from concept to deployment.
You'll make an impact by:

  • 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.


You'll sweep us off our feet if:

  • 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 - 3 NF, 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 Teradata, 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


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 you ' ll quickly find we ' re 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'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you ' ll 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: Bachelor's degree in Computer Science or related field and 4 years' experience in data modeling, data analytics, data warehouse, software engineering or related field. Option 2: 6 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 2 years' 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.)
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...
603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America

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